List of Articles تحلیل پوششی داده ها

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  1 - Management Ability and its Consequences on Firms Value Creation by Employing Neural Networks (A Comparative Approach to Chemical & Food Industries)
  Akbar Valizadeh Oghani Nasser Fegh-hi Farahmand Farzin Modarres Khiabani
  The purpose of this study is to investigate the effect of management ability on the value creation in the chemical and food industry in 2012-2016 by using artificial neural network. Initially, with the implementation of the DEA model with a native model, the relative ef More

  The purpose of this study is to investigate the effect of management ability on the value creation in the chemical and food industry in 2012-2016 by using artificial neural network. Initially, with the implementation of the DEA model with a native model, the relative efficiency is determined for each company and by estimating a regression model, the management ability to each company is also determined. Then the value creation of the companies is measured by the average of the factors such as return on equity, Q Tobin ratio, return on investment, and wealth creation for shareholders. The neural network model used in this study is a multilayer perceptron with back propagation error training pattern. To evaluate the relative efficiency is used the GAMS optimization software and to measure the management ability used the E-Views and MATLAB software is used to train and test the neural networks model. The results show that the artificial neural network model in the food industry is better than the chemical industry. This model estimates the companies' value creation through the management ability and other input variables. Other research results, the management ability score in both industries is equal, but the average value creation of the companies in the food industry is higher than the chemical industry. Manuscript profile
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  2 - A mathematical programming model for measurement of the relative efficiency of Iranian industries
  M.J . Asgharpour M.B.G. Arianezhad M. shokri M.A. Keramati
  This research propose a mathematical programming model for measurements the relative efficiency of Iranian industries four inputs and three outputs were used estimate the performance of 9 kind of industries for the period between 1358 and 1377. The statistical and theor More

  This research propose a mathematical programming model for measurements the relative efficiency of Iranian industries four inputs and three outputs were used estimate the performance of 9 kind of industries for the period between 1358 and 1377. The statistical and theoretical data of the study approves that our proposed model can be employed as reliable and valid pattern. The result implies that any of 9 kind of industries is not to be preferred to each other. On the other word ;there is not any meaningful differences among this industries by considering the relative efficiency. Manuscript profile
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  3 - The Organization Productivity Evaluating Model with Two Stage Data Envelopment Analysis
  F. Hosseinzadeh Lotfi M.B. Aryanegad A. Ebnerasoul S.E. Najafi
  Measuring the performance of a production system is an important task in management for purposesof control, planning, etc.Lord Kelvin said, “When you can measure what you are speaking about, andexpress it in numbers, you know something about it; but when you canno More

  Measuring the performance of a production system is an important task in management for purposesof control, planning, etc.Lord Kelvin said, “When you can measure what you are speaking about, andexpress it in numbers, you know something about it; but when you cannot measure it, when youcannot express it in numbers, your knowledge is of a meager and unsatisfactory kind.”Hence, management knowledge is a measurable science; if we can’t measure each subject, then wecan’t control then, and management is impossible. We know that the major criterion of performance isproductivity, and we should be able to measure it. Data Envelopment Analysis (DEA) can estimatesystematically the relative efficiencies of an organization. The efficiency of a organization can bebenchmarked using DEA. DEA presents a model for evaluating the performance of a set ofcomparable decision making units (DMUs). In this paper, we develop a new model for calculatingproductivity with data envelopment analysis. Manuscript profile
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  4 - A mathematical programming model for measurement of the relative efficiency of Iranian industries
  M. J. Asgharpour M. Ali. Keramati
  This research proposes a mathematical programming model for measurement of the relative efficiency ofIranian industries. Four inputs and three outputs were used to estimate the performance of 9 Kind ofindustries for the period between 1358 and 1377. The statistical and More

  This research proposes a mathematical programming model for measurement of the relative efficiency ofIranian industries. Four inputs and three outputs were used to estimate the performance of 9 Kind ofindustries for the period between 1358 and 1377. The statistical and theoretical data of the study approvesthat our proposed model can be employed as reliable and valid pattern. The result implies that any of 9 kindof industries is not to be preferred to each other. On the other word; there is not any meaningful differencesamong this industries by considering the relative efficiency Manuscript profile
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  5 - Determining Relative Efficiency of Slightly-Nonhomogeneous Decision Making Units by Data Envelopment Analysis
  R. Farzinpoor Saen A. Memariani F. Hosseinzadeh lotfi
  The assumption of classical Data Analysis (DEA) model is based on complete homogeneity of Decision Making Units (DMU’s). The objective of this paper is to propose a method of determining relative efficiency of slightly-nohomogeneous DMU’s by using DEA. First More

  The assumption of classical Data Analysis (DEA) model is based on complete homogeneity of Decision Making Units (DMU’s). The objective of this paper is to propose a method of determining relative efficiency of slightly-nohomogeneous DMU’s by using DEA. First missing values are inserted by series mean. Then relative weights of DMU are measured by Analytic Hierarchy Process (AHP) and finally relative efficiency of DMU’s is computed by Chance Constrained DEA. A case study demonstrates the application of the proposed method. Manuscript profile
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  6 - Evaluation of R&D projects with integrated BSC and DEA
  Reza Radfar Fariba Salahi
  In this article, a model has been provided in order to help to develop the selection andevaluation process of research and development projects in multi-projects organizations. Thisresearch is multi-criteria method for evaluation of R&D projects based on the integra More

  In this article, a model has been provided in order to help to develop the selection andevaluation process of research and development projects in multi-projects organizations. Thisresearch is multi-criteria method for evaluation of R&D projects based on the integration of twodifferent management methodologies. Concepts of balanced scorecard (BSC) and dataenvelopment analysis (DEA) which each is a useful tool in measurements and analysis oforganization work, has been taken and combined in DEA-BSC model.This approach is based on data envelopment analysis, development of weight restriction,balanced scorecard and is following to secure three regular organization goals which areeffectiveness, efficiency, and balance (in use of inputs and outputs).In this article, two techniques of BSC in work index design part, and DAE technique inevaluation of decision making units part according to design indexes has been studies.At the end, DEA-BSC technique for evaluation of 25 projects in automobile part makingindustry has been used. Manuscript profile
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  7 - Evaluation of R&D projects with integrated BSC and DEA
  Reza Radfar Fariba Salahi
  In this article, a model has been provided in order to help to develop the selection andevaluation process of research and development projects in multi-projects organizations. Thisresearch is multi-criteria method for evaluation of R&D projects based on the integra More

  In this article, a model has been provided in order to help to develop the selection andevaluation process of research and development projects in multi-projects organizations. Thisresearch is multi-criteria method for evaluation of R&D projects based on the integration of twodifferent management methodologies. Concepts of balanced scorecard (BSC) and dataenvelopment analysis (DEA) which each is a useful tool in measurements and analysis oforganization work, has been taken and combined in DEA-BSC model.This approach is based on data envelopment analysis, development of weight restriction,balanced scorecard and is following to secure three regular organization goals which areeffectiveness, efficiency, and balance (in use of inputs and outputs).In this article, two techniques of BSC in work index design part, and DAE technique inevaluation of decision making units part according to design indexes has been studies.At the end, DEA-BSC technique for evaluation of 25 projects in automobile part makingindustry has been used Manuscript profile
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  8 - Performance Evaluation Accounting With Inputs Non-Discretionary Factors in an Integrated BSC-DEA Methodology
  E., Najafi M. B. Aryanejad, F. , Hosseinzadeh Lotfi A. Ebnerasoul
  Measuring the performance of a production system has been an important task in management forpurposes of control, planning, etc. The Balanced Scorecard allows us to do just that. BSC is widelyused in government and industry because of the clear representation of the rel More

  Measuring the performance of a production system has been an important task in management forpurposes of control, planning, etc. The Balanced Scorecard allows us to do just that. BSC is widelyused in government and industry because of the clear representation of the relationship and logicbetween the key performance indicators(KPI) of 4 perspectives - financial, customer, internal process,and learning and growth. in the other hand , Traditional studies in data envelopment analysis (DEA)view systems as a whole when measuring the efficiency, ignoring the operation of individualprocesses within a system. We present and demonstrate a multi-criteria approach for evaluating everyprojects in different stages. Our approach integrates the balanced scorecard (BSC) and dataenvelopment analysis (DEA) and develops an extended DEA model. The input and output measuresfor the integrated DEA–BSC model are grouped in “cards” which are associated with " B S C ". Withefficiency decomposition, the process which causes the inefficient operation of the system can beidentified for future improvement. finally we illustrate the proposed approach with a case studyinvolving six banking branches. Manuscript profile
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  9 - Measuring Progress and Regress in Printed Media Using Malmquist Productivity Index in Data Envelopment Analysis
  Hanieh Haghighinia Mohsen RostamyMalkhalifeh Mohammad Soltanifar Akbar Nasrollahi kasmani
  10.30495/mediastudies.2022.46632.1235
  Limitation of resources is an undeniable fact, which is dealt with many organizations such as media organizations. Hence, improving the performance of resource utilization of these organizations is one of the most important concerns of the managers. As a result, a manag More

  Limitation of resources is an undeniable fact, which is dealt with many organizations such as media organizations. Hence, improving the performance of resource utilization of these organizations is one of the most important concerns of the managers. As a result, a manager must evaluate the performance of their organizations frequently. In this paper, we intend to measure the progress and regress of Iranian printed newspapers between two times 2016 and 2017. The current study is applied in terms of purpose and uses the Malmquist Productivity Index (MPI), which is a very useful approach in Data Envelopment Analysis (DEA) to measure the rate of progress and regress of decision-making units (DMUs) under evaluation. The data analysis was done utilizing GAMS, which is a high-level modeling system for mathematical programming and optimization. After reviewing the performance measurement literature and interviewing with media management specialists and also experts from the Ministry of Culture and Islamic Guidance-Deputy of Press and Information Affairs, appropriate indicators were recognized and selected. The results of the comparison of intra-organizational indicators in two consecutive years of 2016 and 2017 represents that 29 units from 87 DMUs have experienced progress and 58 ones regressed. In order to improve the performance of the regressed units, an appropriate strategy has been proposed. Manuscript profile
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  10 - Measuring the efficiency of a three-stage network using data envelopment analysis approach considering dual boundary
  Ehsan. Vaeezi S. Esmail. Najafi Seyed Mohammad. Haji Maulana Farhad, Hosseinzadeh Lotfi Mahnaz. Ahadzadeh Namin
  This paper presents a method for performance evaluation, ranking and clustering based on the double-frontier view to analyze the complex networks. The model allows us to open the structure of the “black box” and can help to obtain important information about More

  This paper presents a method for performance evaluation, ranking and clustering based on the double-frontier view to analyze the complex networks. The model allows us to open the structure of the “black box” and can help to obtain important information about efficient and inefficient points of the system. In this paper, we consider a three-stage network, in respect to the additional desirable and undesirable inputs and outputs and utilize the cooperative approach to measure the efficiency of the overall system. Due to the fact that, a conclusion implying only one of these two, optimistic or pessimistic views is one-sided and incomplete, so, in this paper we used the double-frontier to analyze the network. Moreover, a heuristic technique was used to convert non-linear models into linear models. After obtaining the effective and inefficient points of the network, the DMUs are classified into several clusters by the k-means algorithm.Finally, in this article, in order to apply the proposed model a factory producing dairy products with a production area, warehouse premises and a delivery point are simulated. This factory has been regarded as a dynamic network with a time period of 24 intervals. The results of the ranking showed that, the time periods, (10) and (1) were the best and poorest respectively, in context to the efficiency within 24 phases of time. Manuscript profile
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  11 - Credit rating of the bank legal customers by using the improved modified Russell model (Case study: the legal customers of Arak Melli Bank)
  M. izadikhah M. shamsi
  The most exchange volume in a country will be obtained through bank system whose correct function will have a determinant role in improving economic activities. Nowadays, the customer’s rating and accreditation subject has been considered more than before by the b More

  The most exchange volume in a country will be obtained through bank system whose correct function will have a determinant role in improving economic activities. Nowadays, the customer’s rating and accreditation subject has been considered more than before by the banks due to increase the volume of overdue claims and banks’ past over dues. One of the most important tools for controlling the banks’ credit risk is to implement the credit rating system and to recognize effective factors on withholding payment of the bank advances. The goal of this article is to investigate the relation between efficiency and risk in banking system. Based on this, with the help of data envelopment analysis method and the information related to evaluation, rating and interpretation of credit risk which has been suggested by three main rating institutes like “Fitch, Moody’s and Standard and Poor’s”, the credit risk of 24 legal customers of Arak Melli Bank was evaluated and the credit rate of each legal companies was determined and their quality analysis was expressed. Manuscript profile
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  12 - Balanced evaluation of suppliers performance by applying a hybrid DEMATEL-DEA approach in presence of undesirable factors
  M. Homayounfar A.R. Amirteimoori
  One of the most complicated decision making problems for managers in supply chain is the evaluation of supply chain performance which can be done in different ways. Though several studies have been developed on supply chain performance evaluation based on balanced score More

  One of the most complicated decision making problems for managers in supply chain is the evaluation of supply chain performance which can be done in different ways. Though several studies have been developed on supply chain performance evaluation based on balanced scorecard (BSC), a few studies focused on relationships among four perspectives of BSC. This paper focuses on these relationships, especially on relationships with feedback structures. For this purpose, after identification of the BSC’s more important factors in evaluation of the suppliers, DEMATEL technique is employed to determine feedback relationships among these factors and to attain to the critical factors from the influential and to be influenced point of view. Next, these factors are used as the inputs and outputs of data envelopment analysis (DEA) weak disposability model in presence of undesirable factors to evaluate the suppliers and determine their efficiency scores. Finally, the efficient units were ranked based on the Anderson-Peterson (AP) super efficiency model. The proposed procedure is applied as a framework to evaluate the suppliers of Pars Khazar Company. Manuscript profile
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  13 - Optimal Allocation of Resources Using the Ideal-Solutions
  S. Ghobadi S. Jahangiri
  This paper proposes a new method based on the ideal input vector to estimate inputs of a given decision making unit (DMU) when some or all of its outputs are increased to maintain its current efficiency level. In other words, this paper studied the following question: H More

  This paper proposes a new method based on the ideal input vector to estimate inputs of a given decision making unit (DMU) when some or all of its outputs are increased to maintain its current efficiency level. In other words, this paper studied the following question: How much would be the increase in the inputs of the DMU if the decision maker increases certain outputs to a particular unit in which the DMU maintains its current efficiency level? In this study, unlike other proposed methods, the above question was addressed using just the single-objective linear programming (LP) problems. The problem of estimation of inputs was investigated based on the non-radial models. Necessary and sufficient conditions are proposed for estimation of inputs using just the single-objective LP problems. In addition, the level of deficiency (if any exists) in each of the output components is specified. An example with real data is presented to illustrate our proposed method. Manuscript profile
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  14 - presentation of a two stages method to determine the suitable benchmark and return to scale (case study: girls high school of one zone shiraz city)
  Javad Gerami
  In this paper, a two stages method to determine suitable benchmark and return scale of the decision making units set is presented. At first, all of the efficient reference set in no radial data envelopment analysis (DEA) based on linear programming is found. first, RAM More

  In this paper, a two stages method to determine suitable benchmark and return scale of the decision making units set is presented. At first, all of the efficient reference set in no radial data envelopment analysis (DEA) based on linear programming is found. first, RAM model is introduced and units is investigated using this model, then, to run the given algorithm below steps is performed. At the first step, the type of reference set is introduced and at the second step, a unique linear programming problem based on primal dual method is proposed to know all of the possible reference sets for a decision making unit. At the third step, return to scale in the no radial DEA method is measured. Ultimately, girls high school of shiraz city one zone efficiency is investigated to show to be applicate of this method and suitable benchmark and return scale is presented for this set of decision making units. Manuscript profile
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  15 - Time-staged outputs in production process: A DEA-Based Approach
  S. Seyedboveir M. Maghbouli F. Matrood
  This paper examines the issue of handling outputs in DEA that occur at different stages in time. In some situations, the output set occur at the different period of time, meaning that the produced outputs at the first period of time impact on the production of outputs o More

  This paper examines the issue of handling outputs in DEA that occur at different stages in time. In some situations, the output set occur at the different period of time, meaning that the produced outputs at the first period of time impact on the production of outputs of next time . This problem setting gives rise to the phenomenon of time-staged outputs. Specifically, the two outputs occur at different points in time, meaning that one of them plays a dual role. In other words, the dual-role measure is considered as either the output of the first stage and simultaneously as input for another time period. This paper demonstrates a modification of the joint technology in order to yield the maximum efficiency of the evaluated units. A real case on ten business schools has been illustrated . This real example is applied to emphasize that the suggested structure can handle this situation appropriately. Manuscript profile
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  16 - Introducing a new inefficiency source due to inappropriate price selection in a Non-Competitive Environment in Data Envelopment Analysis (a case study in the Imam Khomeini Oil Refinery Company of Shazand in Iran)
  Elham Rezaei hezaveh Reza Fallahnejad Masoud Sanei Mohammad Izadikhah
  Data Envelopment Analysis (DEA) is an appropriate tool for estimating various types of efficiency including Cost Efficiency (CE). Identifying and identifying inefficiency resources plays an important role in analyzing unit performance in order to plan for improving the More

  Data Envelopment Analysis (DEA) is an appropriate tool for estimating various types of efficiency including Cost Efficiency (CE). Identifying and identifying inefficiency resources plays an important role in analyzing unit performance in order to plan for improving the status of Decision Making Units (DMUs). Now , if information on the inputs and outputs and pricing information of the evaluated units is available, we can calculate the lack of profit and revenue and cost optimization with respect to their inefficiencies. In this paper, we intend to determine the production possibility set (PPS) a new price and a new cost, based on which a new inefficient source and a new source selection of price vectors in a non competitive environment (that is , in the event of a possible change of loss due to the incorrect in Input prices And outputs from the Decision Making Unit to other Decision Making Units (DMUs)). Manuscript profile
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  17 - Duality analysis in technologies with weak disposability
  Homeira Amirmohammadi Alireza Amirteimoori Sohrab Kordrostami Mohsen Vaez-Ghasemi
  In data envelopment analysis (DEA) models, the weak disposability axiom has been used for undesirable outputs such as environmental pollutants in many cases. Considering this axiom, different models are exhibited to assess the efficiency of units under evaluation. In th More

  In data envelopment analysis (DEA) models, the weak disposability axiom has been used for undesirable outputs such as environmental pollutants in many cases. Considering this axiom, different models are exhibited to assess the efficiency of units under evaluation. In this paper, we express duality in weak disposability models proposed by Kousmanen (2005) and Amirteimoori et al. (2017). In the following, economical interpretations of dual are represented in the abovementioned technologies. Also, projection points for inefficient units will be introduced; then, proposed methods will also be explained in an application that includes different designs for the production line of a company.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Manuscript profile
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  18 - Cost efficiency in three stage network DEA-R processes
  parisa kamyab Mohammad Reza Mozaffari
  In many organizations and financial institutions, we don't always have acsses to inputs and outputs to evaluate the decision-making units (DMUs), but rather only a ratio of inputs to outputs ( or reverse) might be available. In DEA, cost efficiency determines input stan More

  In many organizations and financial institutions, we don't always have acsses to inputs and outputs to evaluate the decision-making units (DMUs), but rather only a ratio of inputs to outputs ( or reverse) might be available. In DEA, cost efficiency determines input standards based on input costs. In multi-stage network DEA processes, in addition to input standards, cost efficiency would determine the standards for intermediate vectors as well as using linear programming models. In this paper, we calculated efficiency values for each stage, as well as overall efficiency based on a proxuction possibility set (PPS) in three stage network DEA-R processes. Then, we suggest three stage network DEA-R (ratio-based DEA midel) processes which are a combination of data envelopment analysis (DEA) and ratio data then we will propose cost efficiency models in each three stage network DEA-R process. Afterthan, we will determine the standards for outputs and intermediate measures in each stage using the subject of cost efficiency . In the end, overall efficiency and cost efficiency will be evaluated among of 30 Iranian educational research centers during the first half- year of 2015 based on a three stage network DEA-R process. Manuscript profile
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  19 - Performance Appraisal of Research and Development Projects Value-Chain for Complex Products and Systems: The Fuzzy Three-Stage DEA Approach
  Pejman Peykani Jafar Gheidar-Kheljani
  The purpose of the current research is to provide a performance appraisal system capable of considering the value chain network structure of research and development (R&D) projects for Complex products and systems (CoPS) under uncertainty of data. Therefore, in orde More

  The purpose of the current research is to provide a performance appraisal system capable of considering the value chain network structure of research and development (R&D) projects for Complex products and systems (CoPS) under uncertainty of data. Therefore, in order to achieve this goal, a network data envelopment analysis (NDEA) approach and the possibilistic programming to provide a new fuzzy network data envelopment analysis (FNDEA) approach have been utilized. It is worth noting that the value chain structure is considered in three phases: research and development, manufacturing and testing and finally operations. Finally, the proposed research approach was implemented using data from 10 Research and Development projects for complex systems and products in Iran and the results indicate the capability and applicability of the proposed approach of fuzzy three-stage data envelopment analysis.Keywords: Research and Development (R&D) Project, Complex Products and Systems (CoPS), Network Data Envelopment Analysis (NDEA), Value-Chain, Uncertainty. Manuscript profile
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  20 - Evaluate the efficiency of decision making units with classical model and goal programming data envelopment analysis and output correlation with statistical methods in Ghavamin Bank.
  golamreza Panahandeh khojin Abbass Toloie Eshlaghy Mohammad Ali Afshar Kazemi
  Objective: The purpose of this study was to determine and evaluate the efficiency of decision making units with classical model and goal programming data envelopment analysis and output correlation with statistical methods in Ghavamin Bank.Methods: In this paper, data e More

  Objective: The purpose of this study was to determine and evaluate the efficiency of decision making units with classical model and goal programming data envelopment analysis and output correlation with statistical methods in Ghavamin Bank.Methods: In this paper, data envelopment analysis model based on output- oriented BCC was used to determine the efficiency of provincial branch management in the Ghavamin Bank. As well as to increase the discrimination power of decision-making units more efficient from the inefficient, first models of the default goal programming data envelopment analysis model was examined, then the output models of default as part of the input goal programming data envelopment analysis model was used. Finally, Pearson correlation coefficient was used to evaluate the correlation between the classical model and goal programming model in the outputs.Results: According to output amounts output- oriented BCC model all of decision-making units is efficient and value their efficiency is equal to one, then to discriminate higher than the goal programming data envelopment analysis model was used, the results showed that the 32 management 21 units are efficient and the rest are inefficient. The results also showed that there is a significant correlation between the classical model and the goal programming model.Conclusion: The results showed that goal programming data envelopment analysis model in discriminating efficient decision making units from inefficient has higher discrimination power than output- oriented BCC model. Manuscript profile
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  21 - Providing a model based on auxiliary variables for calculating the efficiency and effectiveness of metro stations in Tehran in the analysis of data coverage with inputs and outputs
  Ali mohammad Gholiha Farhad Hosseinzadeh Lotfi Mohammadreza Shahriari Mohsen Vaez-Ghasemi
  The relative efficiency of a set of decision makers with multiple inputs and outputs is obtained by analyzing data coverage. One of the main assumptions of the classic models of data envelopment analysis is to consider each decision maker as a black box. Also, the indep More

  The relative efficiency of a set of decision makers with multiple inputs and outputs is obtained by analyzing data coverage. One of the main assumptions of the classic models of data envelopment analysis is to consider each decision maker as a black box. Also, the independence of inputs and outputs is relative to each other. In this paper, the performance of subway stations in Tehran is determined by considering the two stage network structure in which the first stage indicates efficiency and the second stage demonstrates its effectiveness, and then, with regard to the presence of indicators, the input depends on In the first and second stages, the two stage models were modified and the resulting model was used for 71 metro stations in Tehran, and finally, 3 effective stations and 2 stations were effective. In total, of the 71 stations, no one of the metro stations have been operating efficiently. Manuscript profile
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  22 - Efficiency Evaluation of Two-Stage Data Envelopment Analysis Model Based on Triangular Intuitionistic Fuzzy numbers andslack variables
  nafiseh javaherian Ali Hamzehee Hossein sayyadi Tooranloo Reza Soleymani-Damaneh
  Data Envelopment Analysis (DEA) is one of the best tools for evaluating the performance of decision-making units. Traditional DEA fails to measure efficient and inefficient units and evaluate the performance of network systems, and traditional models of DEA do not pay a More

  Data Envelopment Analysis (DEA) is one of the best tools for evaluating the performance of decision-making units. Traditional DEA fails to measure efficient and inefficient units and evaluate the performance of network systems, and traditional models of DEA do not pay attention to internal structures and intermediate values. For this reason, in recent years, DEA model, known as network Data Envelopment Analysis models, have been introduced, this models eliminated this deficiency by considering intermediate values. In this paper, DEA based on network two-stage and slack variables and triangular intuitionistic fuzzy data is used to identify the efficiency of units. At first, the two-stage DEA model is introduced and then the model is transformed based on intuitionistic fuzzy coefficients and variables and finally it is converted to crisp two-stage structures by arithmetic operators on intuitionistic fuzzy data. The importance of this model is to measure the values of slack variables, which based on the Tone and Tsutsui model optimizes the intermediate values for inefficient units and ultimately shows better inefficiency. Finally, the optimized intermediate values are considered in the proposed model and thus are improved the overall efficiency of the system. Manuscript profile
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  23 - A Hybrid Data Envelopment Analysis Method for Solving Decision Making Problems with GTHF Numbers
  tayebeh Rezaei Taziani mahnaz barkhordariahmadi mohamad reza Balooch Shahryari
  To face uncertainty in the real world, the two value logic has gradually replaced the fuzzy logic. In some real world problems, accurate determination of membership value is difficult and decision- making is associated with uncertainty and hesitation. This new perspecti More

  To face uncertainty in the real world, the two value logic has gradually replaced the fuzzy logic. In some real world problems, accurate determination of membership value is difficult and decision- making is associated with uncertainty and hesitation. This new perspective manages the uncertainty caused by hesitation. Generalized trapezoidal hesitant fuzzy numbers (GTHFN), whose membership degree is expressed by several trapezoidal fuzzy number, is best suited to solve the decision-making problem in real life than real numbers. In this paper, we refer to a new concept called 'generalized trapezoidal hesitant fuzzy numbers' and its combination with data envelopment analysis. Using this information, we consider the deviation and the score values as input and output of the data envelopment analysis model in two stages respectively; then we used the result to construct a paired comparison matrix and eventually we prioritize the receivers decision making units. To use some concepts in the proposed decision making method, we first present some definitions of concepts such as the score and deviation functions from the generalized trapezoidal hesitant fuzzy numbers. Finally, a numerical example is presented for the proposed method to confirm its applicability, and the ranking result is compared with the methods of AP, TOPSIS with GTHF number and the weighted geometric operator in [7]. Manuscript profile
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  24 - Supplier Ranking Using Data Envelopment Analysis and New Cross Efficiency Evaluation in the Presence of Undesirable Outputs
  Mehdi Soltanifar Hamid SHarafi Seyyed Mohammad Zargar Mehdi Homayounfar
  Data envelopment analysis is a linear programming-based approach used to evaluate the relative performance of decision making units (DMU's) that perform the same tasks with multiple inputs and multiple outputs. Due to the optimistic view of the DEA in evaluating the per More

  Data envelopment analysis is a linear programming-based approach used to evaluate the relative performance of decision making units (DMU's) that perform the same tasks with multiple inputs and multiple outputs. Due to the optimistic view of the DEA in evaluating the performance of homogeneous decision making units, multiple units with a maximum relative efficiency score (equal to unit) are highly likely. Therefore, ranking models were presented to distinguish between efficient units. Cross efficiency evaluation is one of the most useful tools for ranking DMUs in data envelopment analysis. This model has two major flaws in implementation. First, it yields different results in the presence of optimal alternatives; and second, there is no compelling reason to use the arithmetic mean to integrate the cross-performance matrix results. In this paper, a new approach, inspired by the preferential voting process and the idea proposed in the TOPSIS method, is presented to combine cross-performance results in the presence of undesirable outputs. The results are then used to rank suppliers in the presence of undesirable outputs. Manuscript profile
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  25 - Centralized Limited Resource Allocation in Data Envelopment Analysis with Stochastic Data
  Najmeh Malekmohammadi
  The performance and resources allocation in large organizations such as banks, universities, and airports are one of the most important indicators in organizational management science. In this paper, by data envelopment analysis, which is a very powerful method of evalu More

  The performance and resources allocation in large organizations such as banks, universities, and airports are one of the most important indicators in organizational management science. In this paper, by data envelopment analysis, which is a very powerful method of evaluating the efficiency of organizations, we analyze and review the performance and resource allocation. The optimal allocation of resources in organizations is considered to be the most important tool for implementing a long-term strategy and program for them, and the policies and objectives of the organization's plan are reflected in resources allocation of the activities. Indeed, given the importance of future organizations' performance, managers, taking into account the efficiency of each unit, provide strategies for target setting and how to allocate resources, including human resources, financial costs, technological facilities, and so on. On the other hand, given that actual data in organizations are usually random and stochastic, this paper addresses methods for allocating resources with stochastic data. Also, in line with this research, we will devise strategies for allocating resources as well as confronting limited resources in stochastic data, which will result in a new model for data envelopment analysis. In this model, stochastic data are presented with probability distribution due to probability. One of the most valuable achievements in this paper is to resolve the problem of allocating appropriate and optimal limited resources with stochastic data. Finally, with numerical results, the advantages of the new model are shown in relation to the previous models with stochastic data. Manuscript profile
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  26 - Most Productive Scale Size with Environmental Factors in Data Envelopment Analysis
  Hajar Haghighatpisheh Sohrab Kordrostami Alireza Amirteimoori
  Nowadays, evaluating the efficiency of entities and knowing how resources should be organized is a significant aspect in order to achieve optimal results. One of methods for the performance evaluation is data envelopment analysis (DEA). Also, one of the important DEA to More

  Nowadays, evaluating the efficiency of entities and knowing how resources should be organized is a significant aspect in order to achieve optimal results. One of methods for the performance evaluation is data envelopment analysis (DEA). Also, one of the important DEA topics is the most productive scale size (MPSS) estimation. Due to the presence of undesirable factors in the production systems, models are suggested in this paper for evaluating MPSS and determining the largest and smallest MPSS (nearest and farthest points of MPSS) while undesirable outputs with weak disposability are available. Models proposed determine the role of environmental factors in the performance estimation of units. These models can be used in factories, hospitals and as well as environmental protection for continual monitoring on the environmental situation affected by industrial activities and also showing the impact of environmental factors in measuring the efficiency. We use data from the Chinese industry to present the theoretical results. Manuscript profile
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  27 - Determining the efficiency, satisfaction and productivity of the public transportation system using data envelopment analysis and its applied study on Mashhad bus lines
  Maliheh Shahkooeei Farzad Rezai Balf Mohsen Rabbani Mehdi Fallah Jelodar
  10.30495/jnrm.2022.19381.2187
  The trend of population growth and development of cities in recent decades has led to the use of vehicles, both private and public. Meanwhile, public transportation has attracted a lot of attention due to its economic viability. Therefore, urban planning officials and m More

  The trend of population growth and development of cities in recent decades has led to the use of vehicles, both private and public. Meanwhile, public transportation has attracted a lot of attention due to its economic viability. Therefore, urban planning officials and municipalities try to solve problems such as; Environmental pollution, heavy traffic congestion, insecurity on some roads, severe accidents on some roads and excessive consumption of fuel suitable for vehicles (including oil - diesel and gasoline) are to consider appropriate measures. Data envelopment analysis with appropriate mathematical solutions can be an accurate and comprehensive tool to investigate such situations, so that managers can use it to make the best decision and remove existing barriers. Our goal in this article is to determine the efficiency, satisfaction and productivity (productivity in efficiency, productivity in satisfaction) of public vehicles, specifically 10 bus lines in Mashhad, so that their productivity in three consecutive years 91, 92 and 93 has been evaluated and the ratio of productivity in satisfaction to productivity in efficiency of each line has been calculated. Manuscript profile
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  28 - Reduction Difference Between the Profile weights in Stochastic cross-efficiency
  Somayeh Rahmani Mohsen Khounsiavash Reza Kazemi Matin Zohreh MOGHADAS
  Cross-efficiency method is a useful tool for efficiency evaluation of decision-making units in data envelopment analysis. The issue of non-uniqueness of optimal weights in the cross-efficiency evaluation has reduced the usefulness of this powerful method. This paper int More

  Cross-efficiency method is a useful tool for efficiency evaluation of decision-making units in data envelopment analysis. The issue of non-uniqueness of optimal weights in the cross-efficiency evaluation has reduced the usefulness of this powerful method. This paper introduces a new method for selection of weights profiles as the secondary goal in cross-efficiency with stochastic data. The issue of zero-weight which implies the exclusion of some variables from the assessments, is also addressed in the new proposed method. The provided weights selection method also reduces the weight disparity in the achieved weights profile. In the peer-restricted stochastic cross-efficiency evaluation, the new approach guarantees that different DMUs should not attach very different weights to the same variables. As the result, a common set of weights using the idea of similarity between sets of weights is achieved in the proposed computation method. Some numerical examples are also used for illustration and comparison purposes. Manuscript profile
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  29 - Computing the efficiency interval of decision making units (DMUs) having interval inputs and outputs with the presence of negative data
  M. Rostamy-Malkhalifeh F. seyed Esmaeili
  The basic assumption in data envelopment analysis patterns (DEA) (such as the CCR andBCC models) is that the value of data related to the inputs and outputs is a precise andpositive number, but most of the time in real conditions of business, determining precisenumerica More

  The basic assumption in data envelopment analysis patterns (DEA) (such as the CCR andBCC models) is that the value of data related to the inputs and outputs is a precise andpositive number, but most of the time in real conditions of business, determining precisenumerical value is not possible in for some inputs or outputs. For this purpose, differentmodels have been proposed in DEA for imprecise data over recent years and also severalresearches have been conducted on DEA that are able to evaluate efficiency with negativedata. The negative interval DEA pattern which has been introduced and used in the presentstudy, addresses uncertainty both in inputs and outputs and provides user with more stableand reliable results for decision making.Now, in this paper a model is presented that is able to compute efficiency interval of unitswith interval input and output that while some indicators can also be negative and then weprove that the efficiency interval that this model gives us is more precise compared toefficiency interval of models previously proposed and finally, ten decision making units(DMUs) with the negative imprecise (interval) data are investigated by the proposed modeland the results of the proposed model are compared with the results of the previous models. Manuscript profile
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  30 - Efficiency Evaluation by using mixed modeling of Data Envelopment Analysis and Balanced Scorecard- A Case Study in the banking industry
  M. Fallah Jelodar
  The first objective in any financial organization is to improve performance, and performance evaluation also is one of the best ways to advance operations in organizations. By utilizing different methods of performance evaluation, organizations can evaluate the effectiv More

  The first objective in any financial organization is to improve performance, and performance evaluation also is one of the best ways to advance operations in organizations. By utilizing different methods of performance evaluation, organizations can evaluate the effectiveness and efficiency of processes that are in accord with strategic objectives. In addition, the performance evaluation instruments can help organizations with resource allocation and appropriate distribution of these resources. So far, many performance evaluation methods have been introduced which among them, traditional approaches only focus on the financial aspects and do not concern the non-financial. This article primarily concerns the linking of strategy maps and performance indicators that provides a structure of performance evaluation for the Saderat Bank of Tehran; and in the next step evaluates efficiency of bank branches by using Data Envelopment Analysis method. Manuscript profile
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  31 - The Uniqueness of the Overall Assurance Interval for Epsilon in DEA Models by the Direction Method
  S. Mehrabian
  The role of non-Archimedean  in the DEA models has been clarified, so that the associatedlinear programs can be infeasible (for the multiplier side) and unbounded (for theenvelopment side) with an unsuitable choice of  . This paper shows that the overallassurance inte More

  The role of non-Archimedean  in the DEA models has been clarified, so that the associatedlinear programs can be infeasible (for the multiplier side) and unbounded (for theenvelopment side) with an unsuitable choice of  . This paper shows that the overallassurance interval for  in DEA models is unique by the concept of extreme directions. Also,it presents an assurance value for  using only simple computations on inputs and outputs ofDMUs. Manuscript profile
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  32 - Utilizing Robust Data Envelopment Analysis Model for Measuring Efficiency of Stock, A case study: Tehran Stock Exchange
  Pejman Peykani Emran Mohammadi Armin Jabbarzadeh Alireza Jandaghian
  Uncertainty is a prominent feature of real world problems and more especially financialmarkets; with this in mind, dealing with uncertainty becomes a necessary part of performanceevaluation by means of data envelopment analysis. This paper presents three robust dataenve More

  Uncertainty is a prominent feature of real world problems and more especially financialmarkets; with this in mind, dealing with uncertainty becomes a necessary part of performanceevaluation by means of data envelopment analysis. This paper presents three robust dataenvelopment analysis (DEA) models and their application for performance evaluation inTehran Stock Exchange (TSE). Based on the results, the evaluated performance of stocks andthe number of efficient stocks is decreased in all three models by increasing the level ofuncertainty. Manuscript profile
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  33 - The Most Productive Scale Compared to Demand Fulfillment (Case Study: Insurance Companies)
  M. Ahadzadeh namin E. Khamseh
  Economics depends on the economic scale of planning. Economists study the characteristics of the production function, while community operating management focuses on demand realization, so that loss of sales or inventory prevents cost reductions and maximizes profits. H More

  Economics depends on the economic scale of planning. Economists study the characteristics of the production function, while community operating management focuses on demand realization, so that loss of sales or inventory prevents cost reductions and maximizes profits. However, companies with a lack of capacity need to achieve economies of scale and demand to realize them simultaneously, especially when corporate demand is fluctuating. But always the customer's demand is not equal to output, the demand level may be less than the maximum output level of the highest productivity scale (MPSS), between the highest output level of the MPSS and the maximum output level, or greater than the maximum output level. In this paper, we intend to find the highest level of productivity in relation to the demand for active insurance companies in 1396 in all three scenarios. In fact, we will examine the applicability of Lee's (2016) paper in insurance companies in Iran. Manuscript profile
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  34 - Classifying Flexible Factors Using Fuzzy Concept
  S. Saati N. Imani
  In Data Envelopment Analysis (DEA), it is assumed that the role of each factor is known asinput or output. However, in some cases, there are shared factors that their input versusoutput status is not clearly known. These are flexible measures. In such cases, determining More

  In Data Envelopment Analysis (DEA), it is assumed that the role of each factor is known asinput or output. However, in some cases, there are shared factors that their input versusoutput status is not clearly known. These are flexible measures. In such cases, determiningwhether a factor is input or output is ambiguous. Therefore, using fuzzy concept seems to benecessary.In this paper, a two phase procedure is proposed to fuzzy classification of flexible measures.In the first phase, applying the existing classification methods, an orientation of flexiblemeasures to aid in the definition of inputs and outputs is achieved. Through defining amembership function in second phase, the input versus output status of a factor is expressedby fuzzy notion. By the proposed method, the efficiency of a decision mating unit is defendedby a membership degree. We illustrate the proposed model in a practical problem setting. Manuscript profile
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  35 - Malmquist Productivity Index Based on Time Effect
  M. Vaez-Ghasemi
  In recent years, measuring and analyzing productivity changes is the main focus of variousresearches who study performance of organizations. All through widespread application ofMalmquist Productivity Index, different types of data should be considered thoroughly,otherw More

  In recent years, measuring and analyzing productivity changes is the main focus of variousresearches who study performance of organizations. All through widespread application ofMalmquist Productivity Index, different types of data should be considered thoroughly,otherwise any defective study of the related data and deciding factors may yield poor results.Practical Malmquist Productivity Index (PMPI) models, presented in this research, arefundamentally capable of measuring the productivity of units in a competitive atmosphere,along with the hidden economic indexes such as time value of money, amortization andpromoted skills of employees. Also these models would provide the productivity comparisonover different periods of time. Moreover, these models are reliable as well as tangible forsuperior managers and it is noteworthy that they would offer significantly favorableconditions, lack of which may cause the unit under evaluation to face a great deal ofregression. Manuscript profile
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  36 - Three steps method for portfolio optimization by using Conditional Value at Risk measure
  S. Navidi sh. Banihashemi M. Sanei
  Comprehensive methods must be used for portfolio optimization. For this purpose, financial data of stock companies, inputs and outputs variable, the risk measure and investor’s preferences must be considered. By considering these items, we propose a method for por More

  Comprehensive methods must be used for portfolio optimization. For this purpose, financial data of stock companies, inputs and outputs variable, the risk measure and investor’s preferences must be considered. By considering these items, we propose a method for portfolio optimization. In this paper, we used financial data of companies for screening the stock companies. We used Conditional Value at Risk (CVaR) as a risk measure, because of its advantages. Data Envelopment Analysis (DEA) can be used to calculate the efficiency of stock companies. Conventional DEA models assume non-negative data. However, many of these data take the negative value, therefore we propose the MeanSharp- CVaR (MSh CV) model and the Multi Objective MeanSharp- CVaR (MOMSh CV) model base on Range Directional Measure (RDM) that can take positive and negative values. By using Multi Objective Decision Making (MODM) model, investors can allocate their capital to the stocks of portfolio as they like. Finally, a numerical example of the purposed method is applied to Iran’s financial market. Manuscript profile
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  37 - Introducing a secondary goal for evaluating DMUs by cross efficiency in data envelopment analysis
  R. Mehrjoo نقی .Shoja
  One way to rank DMUs in DEA is the cross efficiency method. In this method, the efficiencyof each DMU is calculated by other DMUs optimum weights, which makes the ranking moreacceptable for managers. Existing alternative optimum weights in cross efficiency methodlead to More

  One way to rank DMUs in DEA is the cross efficiency method. In this method, the efficiencyof each DMU is calculated by other DMUs optimum weights, which makes the ranking moreacceptable for managers. Existing alternative optimum weights in cross efficiency methodlead to several ranks for DMUs. Several secondary goals have introduced to avoid thisproblem, till now. In this paper, a new model is presented, that would be satisfying andacceptable for all DMUs. Therefore, by solving this model, the optimum weights areagreeable and fairy for DMUs. Manuscript profile
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  38 - Congestion Status Identification Using Slack Based Models in Data Envelopment Analysis
  M. Abbasi M. Rostamy-Malkhlifeh
  Congestion is a wasteful stage of the production process where outputs are reduced due to excessive amount of inputs. There are several approaches in data envelopment analysis (DEA) literatures to treat congestion. The concept of strong and weak congestion first develop More

  Congestion is a wasteful stage of the production process where outputs are reduced due to excessive amount of inputs. There are several approaches in data envelopment analysis (DEA) literatures to treat congestion. The concept of strong and weak congestion first developed by Tone and Sahoo [Tone, K., Sahoo, B.K., 2004. Degree of scale economies and congestion: A unified DEA approach. European Journal of Operational Research 158, 755–772]. Evidence of strong congestion occurs whenever reducing proportionally all inputs can increase all outputs. Tone and Sahoo extended the relationship between congestion and other economic concept such as marginal productivity. They proved that existence of strong congestion is hinged to negative marginal productivity. Nonetheless the definition of strong congestion is too restrictive, since it has severe condition of “proportionate’’ reduction in all inputs causes an augmentation in all outputs. So the number of strongly congested DMUs appeared to be limited. In this paper we define a new less restrictive definition of congestion namely “ strict congestion’’ which is identified if and only if a reduction in all inputs causes an increase in all outputs. Therewith this study first proposes a new approach for the congestion recognition. Then another scheme is presented to determine the status of congestion (weak or strict). The validity of the proposed approach is demonstrated using numerical examples. Manuscript profile
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  39 - Productivity changes of units: A directional measure of cost Malmquist index
  G. Tohidi S. Tohidnia
  This study examines the productivity changes of decision making units in situation whereinput price vectors are varying between them and inputs are heterogeneous; that is a noncompetitivemarket. We present a directional measure of cost Malmquist productivity indexwhere More

  This study examines the productivity changes of decision making units in situation whereinput price vectors are varying between them and inputs are heterogeneous; that is a noncompetitivemarket. We present a directional measure of cost Malmquist productivity indexwhere incorporates the decision maker's preference over productivity change over time. Asimple numerical example is designed to illustrate the new measure of the cost Malmquistindex. Manuscript profile
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  40 - A Method for Target Setting with Share Data
  B. Rahmani Parchkolaei Z. Moghaddas
  Data Envelopment Analysis (DEA) is a mathematical programming technique for evaluatingthe relative efficiency of a set of Decision Making Units (DMUs) and can also be utilized forsetting target. Target setting is one of the important subjects since according to its resu More

  Data Envelopment Analysis (DEA) is a mathematical programming technique for evaluatingthe relative efficiency of a set of Decision Making Units (DMUs) and can also be utilized forsetting target. Target setting is one of the important subjects since according to its resultsefficiency can be increased. An important issue to be currently discussed, is to set targetwhile considering share data. These data for each individual indicate the share of the unit,which takes part in an activity, from the whole amount which is a predefined constant. It isobvious that the sum of units’ share is equal to the entire amount. Thus, any changes in themagnitude of these data has to be dependent on the changes in data of other units. In thispaper a two-stage procedure is developed to find benchmark units where share data exist. Thefact that all DMUs are jointly projected onto the new efficient frontier and simplicity, are thesignificant features of the proposed method. With a numerical example we demonstrate howthis method works. Manuscript profile
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  41 - Using Neural Network to Determine Input Excesses, Output Shortfalls and Efficiency of Dmus in Russell Mode
  D. Modhej M. Sanei N. Shoja
  Data Envelopment Analysis (DEA) has two fundamental approaches for assessing theefficiency with different characteristics; radial and non-radial models. This paper isconcerned the non-radial model of Russell which is a non linear model. Conventional DEAfor a large datas More

  Data Envelopment Analysis (DEA) has two fundamental approaches for assessing theefficiency with different characteristics; radial and non-radial models. This paper isconcerned the non-radial model of Russell which is a non linear model. Conventional DEAfor a large dataset with many inputs/outputs would require huge computer resources in termsof memory and CPU time. Artificial Neural Network (ANN) is one of the most populartechniques for non linear models and for measuring the relative efficiency of a large datasetwith many inputs/ outputs. Also in the last decade researches focused on efficiencyevaluation via DEA as well as using ANN. In this paper we will estimate the input excessesand the output shortfalls in addition to efficiency of Decision Making Units (DMUs) inRussell model through ANN. The proposed integrated approach is applied to an actualIranian bank set; the result indicates that it yields a satisfactory solution.works. Manuscript profile
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  42 - Increasing the discrimination power the decision making units based on reducing dispersion of weights in the data envelopment analysis
  اعظم Pourhabib A.R Amirteimoori S. Kordrostami R. Kazemi Matin
  Data envelopment analysis which is a nonparametric technique for evaluating relative efficiency of the decision making units with multiple inputs and outputs, has been a very popular method among researchers. While this nonparametric technique is popular, it has some dr More

  Data envelopment analysis which is a nonparametric technique for evaluating relative efficiency of the decision making units with multiple inputs and outputs, has been a very popular method among researchers. While this nonparametric technique is popular, it has some drawbacks such as lack of discrimination in efficient units and weights dispersion .The present study, which is a model based on a multi-criteria data envelopment analysis has been proposed to moderate the homogeneity of weights dispersion by using goal programming. The proposed model minimized variances of input and output weights. The result shows that the dispersion of input and output weights has been balanced. Furthermore, the power of discrimination has been improved in DEA. Manuscript profile
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  43 - Studying the Impact of Deferred Debts on Bank Performance by Using Data Envelopment Analysis
  A. Gholam Abri
  Performance evaluation has always been a challenging issue in management.The evaluation of performance especially during two past decades has attracted much attention because of its importance. Today, organizations try to measure the performance comparing with other com More

  Performance evaluation has always been a challenging issue in management.The evaluation of performance especially during two past decades has attracted much attention because of its importance. Today, organizations try to measure the performance comparing with other competitors to be able to reach to a level of performance keeping them in market.Banks and financial institutions are considered as the most important economic sectors performing the trades and commercial transactions by guiding and conducting the payments and getting the money to spread the markets and develop economic growth and prosperity. Due to the importance of the task, the increase of productivity is a matter of high necessity.Data envelopment analysis is a nonparametric linear programming technique for evaluating the performance of Decision Making Units (DMU) by multiple inputs and multiple outputs.In this paper, we focus on the deferred debts and impact of it’s on bank performance. So, data envelopment analysis and statistical test are to present relation between deferred debts and efficiency used. The present research is to evaluate the performance of 40 bank branches in Iran. In order to achieve the goal, the performance of bank branches will be assessed by using Data Envelopment Analysis and GAMS software during 2013-2014 and based on the researches conducted. Manuscript profile
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  44 - Performance Measurement of Decision Making Units with Network Structure in the Presence of Undesirable Output
  P. Peykani E. Mohammadi
  In the performance evaluation process, using the classic data envelopment analysis (DEA) models, decision making units (DMUs) are considered as black boxes. While in many cases and different applications such as investment funds, banks, insurance companies, etc., DMUs h More

  In the performance evaluation process, using the classic data envelopment analysis (DEA) models, decision making units (DMUs) are considered as black boxes. While in many cases and different applications such as investment funds, banks, insurance companies, etc., DMUs have a network structure. In addition, in many network structures, some of the indicators used to calculate the efficiency of DMUs have an undesirable nature. Therefore, it is necessary to provide an effective approach that takes into account the internal structure of the DMus and the inter-organizational relationships in the calculation of efficiency and also is capable to be used in the presence of undesirable data. Accordingly, the purpose of the present study is to provide a network data envelopment analysis (NDEA) model in order to performance assessment of DMUs with a two-stage structure in the presence of undesirable outputs. It should be noted that according to the two-stage structure of investment companies and the presence of undesirable output in their evaluation process, ten investment companies from Tehran Stock Exchange have been selected as a case study for the research. Finally, the results of their performance evaluation by applying the proposed approach of research have been analyzed. Manuscript profile
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  45 - Performance Assessment of Investment Firms under Uncertainty
  Pejman Peykani Farhad Hosseinzadeh Lotfi Emran Mohammadi Reza Tehrani
  Mutual funds and investment companies are very important institutions for investing in capital markets. Hence, measuring their performance with the aim of identifying efficient investment firms and providing a corrective remedy for inefficient firms is essential. The pu More

  Mutual funds and investment companies are very important institutions for investing in capital markets. Hence, measuring their performance with the aim of identifying efficient investment firms and providing a corrective remedy for inefficient firms is essential. The purpose of the present study is to propose a new approach to assessing the performance and classification of investment firms in terms of uncertainty. Considering the two-stage structure of investment firms, in this research, the approach of network data envelopment analysis (NDEA) is used to evaluate the performance of each stage and the entire investment company. Also, in order to take into account, the uncertainty of the data, the interval network data envelopment analysis (INDEA) model for a two-stage structure is presented. Using the data of 10 active investment companies in Tehran Stock Exchange, the proposed research approach has been implemented and all companies have been evaluated and classified. The results of INDEA model based on non-cooperative approach indicating on the efficacy and effectiveness of the proposed approach of research for performance measurement of investment firms under uncertain data. Manuscript profile
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  46 - Stock selection of Tehran stock exchange investors with hybrid of data envelopment analysis (DEA) and goal programming (GP)
  محمد غلی افشارکاظمی مریم خلیلی عراقی احمد سادات کیایی
  One of the most important concerns of investors in financial market is to select astock or portfolio which is optimal in profitability. So a lot of methods related to stockselection have been introduced. The purpose of this study is to make optimal portfolioby hybrid of More

  One of the most important concerns of investors in financial market is to select astock or portfolio which is optimal in profitability. So a lot of methods related to stockselection have been introduced. The purpose of this study is to make optimal portfolioby hybrid of data development analysis (DEA) and goal programming (GP). Thereforethe data which is related to 6 industries among Tehran Stock Exchange (250 firms)have been collected from October 2009 March 2010. The ratio efficiency of everyindustries' firms has been calculated and the most efficient ones selected, and finally48 efficient firms have been determined. In next phase after collecting data related tothe criteria of investing for efficient firms, in order to determine F the linearprogramming has been used and to ensure the goals attainment with the low priorities,the result has been brought to goal programming model after a little coordination. Infinal phase investor has decided by considering priorities and his goals and using goalprogramming. The result show the complete achievement of (Beta), (Return), (Di)and (liquidity) goals and the incomplete achievement of (risk) goal and (Ci) goal has2.27 units positive derivation and it was made a various portfolio includes 8 stocksamong 250 stocks. Manuscript profile
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  47 - Application of factor analysis in fuzzy DEA model combined with Markowitz's model portfolio to determine the most efficient companies in the Tehran Stock Exchange
  Hamzeh Pourbabagol Mohammad hossin Nayyeri
  The main goal In this paper is to merge fuzzy DEA with Markowitz model to construct optimized portfolio of efficient companies in Tehran bourse. So, first using of DEA we choose efficient companies as efficient group, although we choose two type of efficient companies w More

  The main goal In this paper is to merge fuzzy DEA with Markowitz model to construct optimized portfolio of efficient companies in Tehran bourse. So, first using of DEA we choose efficient companies as efficient group, although we choose two type of efficient companies with adding controlling relative weight constraints for two type of investors ( risk aversive & risk taker ), Then, using of Markowitz model with regarding of the level of risk aversion, we construct efficient portfolio from efficient group.The large number of criteria is one of the MCDM model's problems for solving this problem we can use of factor analysis to reduce a complex data set to a lower dimension. In this paper with respect to experts's opinions,firstly the main variables corresponding to company's efficiency were assigned ( 15 financial ratio ) and then using of factor analysis we reduse the number of these variables to eight, after that with adding controlling relative weight constraints to DEA model, we construct efficient groap for two type of investors ( risk aversive & risk taker ). due to relativeness of risk and return in terms of investors, whit imputing investors to type( risk aversive & risk taker), efficient groaps were constituted. Finaly investor can, with regarding of the level of his risk aversion, using of Markowitz model, construct optimal portfolio from efficient groaps. Though in final step optimal portfolios were choosed from efficient groaps, thus one of the main problem of Markowitz model that is nonregarding other criterion except risk and return, will be soleved Manuscript profile
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  48 - The impact of individual and social factors in improving the performance of provincial health care
  تیمور محمدی بهنوش سادات آقایان
  This paper focuses on the efficiency measurement of health care system for Iran's provinces during the years 1383-86.The methodology is DEA (input and output oriented).Results indicate that there is so much room for increasing this efficiency. In order to determine fact More

  This paper focuses on the efficiency measurement of health care system for Iran's provinces during the years 1383-86.The methodology is DEA (input and output oriented).Results indicate that there is so much room for increasing this efficiency. In order to determine factors affecting this low efficiency, by using panel data techniques, efficiency scores are regressed on variables which reflect both personal and social status of the provinces. Bad nutritional habits and individual health care expenditures are personal variables which have a negative effect on efficiency. On the other hand social variables such as per capita GDP and literacy rate move directly with efficiency. Per capita GDP has positive threshold effect. Noticeably, health care insurance expenditure as a social variable has a negative effect on efficiency which invokes attention of policy-makers in this area. As a result restructuring this industry, pave the way for higher efficiency Manuscript profile
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  49 - Evaluating the financial performance of banking industry in TSE: applying TOPSIS logic in Data Envelopment Analysis(DEA)
  محمدرضا رستمی جواد قاسمی فرزانه اسکندری
  Evaluating financial status of banking industry helps managers to understand theniche and make right decisions based on results. In this paper we develop a systemicapproach to evaluate efficiency based on TOPSIS-DEA, which applies TOPSIS rulesin DEA. We ranked all liste More

  Evaluating financial status of banking industry helps managers to understand theniche and make right decisions based on results. In this paper we develop a systemicapproach to evaluate efficiency based on TOPSIS-DEA, which applies TOPSIS rulesin DEA. We ranked all listed banks based on both optimistic and pessimisticapproach. This method uses two virtual ideal and anti-ideal DMU and measures theefficiency of each DMU according to virtual ones, putting this results in a relativeneighborhood index we are able to rank DMU's. results showed Karafarin, Mellat andParsian have the least intervals with the ideal and Saderat has the most, and with theanti-ideal Saderat has the least while Karafarin has the most intervals. Manuscript profile
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  50 - The Study of Productivity and Cost Leadership and Differentiation Strategy Effect on Bankruptcy Risk
  Majid Azimi Yancheshmeh Mostafa rajabi Zoherh Mahmoud Dehnavi
  The main purpose of this paper is to investigation of the impact of Productivity and Cost Leadership Strategy and Differentiation Strategy on Bankruptcy Risk of firms. In this regard, uses data envelopment analysis (DEA) to compute productivity of firms and uses Altman More

  The main purpose of this paper is to investigation of the impact of Productivity and Cost Leadership Strategy and Differentiation Strategy on Bankruptcy Risk of firms. In this regard, uses data envelopment analysis (DEA) to compute productivity of firms and uses Altman model (Z) to compute bankruptcy risk of firms. The data used consists of a sample of 79 firms that are publicly traded in the Tehran Stock Exchange (TSE) in the period 1384-1392. A multi-variable regression model is used for testing of hypotheses and data analyses. The results indicate that productivity has a positive effect on reducing bankruptcy risk of firms, and the results also indicate that pursuing either of the Cost Leadership Strategy and Differentiation Strategy successfully has a positive effect on reducing bankruptcy risk. The study also brings to light the mediating effect of productivity in the relationship between cost leadership strategy and bankruptcy risk Of Firms. Manuscript profile
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  51 - Developing the corporate social responsibility Model and its impact on the Qualitative Characteristics of Financial Information
  S. Ahmad Mousavi Farzin Rezaei Farhad Shahveisi
  The purpose of research is to identify factors that explain the pattern of reporting and corporate social responsibility and corporate social responsibility influence on the Quality of information. to achieve this goal, Using various aspects of social responsibility the More

  The purpose of research is to identify factors that explain the pattern of reporting and corporate social responsibility and corporate social responsibility influence on the Quality of information. to achieve this goal, Using various aspects of social responsibility theory based on Carroll, Indicators for economic, legal, ethical, environmental and social was considered and Using confirmatory factor analysis, appropriate indicators were selected each dimension. The sample consisted of 87 companies during the period 1385 to 1393 based on data envelopment analysis, the performance was calculated corporate social responsibility. The performance index of corporate social responsibility to check the effects on the quality of accounting information based on panel data and multivariate linear regression and logistic, the results showed that the index of fulfillment of corporate social responsibility and predictive value of a positive and significant Relationship exists. Also results showed that the index of fulfillment of corporate social responsibility with Feedback value was positive Relationship, but this Relationship was not Significant and the coefficient of performance of corporate social responsibility and other qualitative characteristics include the conservatism, Neutrality, Rep faith fullness and completeness was not significant relationship Manuscript profile
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  52 - Application of nonparametric method for optimization of energy consumption and greenhouse gas emission in wheat production
  Morteza Taki Yahya Ajabshirchi Ahmad Ghobadifar
  Background and Objective: Nowadays, increase of energy consumption in agricultural section has lead to some environmental problems and increase of final costs. In this study, the non-parametric method of Data Envelopment Analysis (DEA) is used to estimate the energy eff More

  Background and Objective: Nowadays, increase of energy consumption in agricultural section has lead to some environmental problems and increase of final costs. In this study, the non-parametric method of Data Envelopment Analysis (DEA) is used to estimate the energy efficiency and greenhose gas emission in the irrigated wheat farms in Silakhor plain of Lorestan province. Method: Data were collected through both questionnaire and interwiew surveys using 150 farmers. Results showed that the energy consumption for 0.1 up to 2, 2.1 up to 5 and over 5 hectares were 22134, 24128 and 25078 MJ/ha respectively, and the sum of grain, fertilizer and pesticides had the highest share of energy consumption in  all levels. The results of DEA showed that technical, pure technical and scale efficiencies in the third level were 88, 93 and 94%and higher than the same amounts obtained in other levels. Results: Energy saving ratios in these levels were 6.83, 8.11 and 6.54 respectively. This indicates that 1512, 1957 and 1640 MJ/ha of total input energy can be saved, if the mentioned method is used. The results of greenhouse gas emission showed that diesel fuel has the highest share in the environmental pollutants. Optimization of energy consumption can totally decrease 6516.67 kg CO2 produced in wheat production. Manuscript profile
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  53 - Evaluation of financial efficiency with non-radial model and fuzzy data and inputs and outputs with nonlinear marginal margin with data envelopment analysis technique
  Saeid savadkouhi Farhad Hosseinzadeh Lotfi Mohammadreza Shahriari Mohsen Vaez-Ghsemi
  Among the important producers and financial organizations in the national economy, the country's major producers, including petrochemicals and refineries, have an important role in improving efficiency and preventing crude oil. In this regard, managers of these organiza More

  Among the important producers and financial organizations in the national economy, the country's major producers, including petrochemicals and refineries, have an important role in improving efficiency and preventing crude oil. In this regard, managers of these organizations are struggling to improve efficiency in light of the economic conditions. The classic approach of data envelopment analysis models takes into account the linear pricing performance for inputs and outputs in the evaluation. In this paper, we examined the efficiency of the top ten petrochemical companies in the year 1395 by modeling with the help of auxiliary variables and nonlinear values ​​of inputs and outputs. An important feature of the proposed model is that it considers nonlinear values ​​of inputs and outputs. In the DEA total analysis, all weights are taken linearlyThey can not show the reality of the issue in many practical applications. Manuscript profile
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  54 - The Relationship between Financial Investment and Malmquist Productivity Index Based on Data Envelopment Analysis in Network Structure (Case Study: Tehran Metro Stations)
  Ali Mohammad Gholiha Farhad Hosseinzadeh Lotfi Mohammadreza Shahriari Mohsen Vaez-Ghsemi
  Evaluation of Tehran metro stations based on multiple indices has been studied in this paper. Subway stations have always been considered one of the service centers. Considering that the design and construction of the metro station focuses on the creation of infrastruct More

  Evaluation of Tehran metro stations based on multiple indices has been studied in this paper. Subway stations have always been considered one of the service centers. Considering that the design and construction of the metro station focuses on the creation of infrastructure, facilities and equipment and then the operational part uses it for the first service, it therefore has two stages of construction and operation. Data envelopment analysis with two-step structure is designed for this topic. The data were collected over five years and attacked four Tehran metro stations. Based on the results of the designed model, the progress and remission of all stations were calculated at each stage and its relationship with financial investment in each metro station was investigated. Manuscript profile
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  55 - Appraising the Relationship between Age and Total Assets of Mutual Funds and their Efficiency by Using Data Envelopment Analysis Approach (DEA)
  Alireza badkoobeh Hezaveh ali Esmaeilzadeh Maghari
  Mutual funds are professional finance institutions which have invested in securities, by investors’ payments, while enjoying the professional management as well as decrease in non-systemic risk. On the other hand, investors require some approaches to evaluate the More

  Mutual funds are professional finance institutions which have invested in securities, by investors’ payments, while enjoying the professional management as well as decrease in non-systemic risk. On the other hand, investors require some approaches to evaluate the performance of mutual funds including, data envelopment analysis as a multi-purpose decision making method. Efficient and inefficient companies may be specified by this method, as well as a reference to achieve the efficiency limit for inefficient companies. This research aims to evaluate efficiency of mutual funds by the method of data envelopment analysis. The interval is begun from 2018 until the end of the spring of 2020 and all stock mutual funds form the statistical society. Also 35 mutual funds is a statistical sample. The results show meaningful correlation between obtained efficiency by the method of data envelopment analysis and the real output of mutual funds. So data envelopment analysis is a suitable method to evaluate efficiency of mutual funds. The results indicate that increase in total assets of mutual funds enhance their efficiency. But the age of mutual funds does not affect their efficiency. Manuscript profile
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  56 - Efficiency measurement of mutual fund families performance in Iran using two-stage DEA models
  Maryam Masoumi Hajir Fatemeh Rakhshan Mohammad Reza Alirezaee
  In analyzing relative performance, especially at the institutional level, the traditional data envelopment analysis models do not recognize vastly different and important activities as separate functions and therefore cannot identify which function may be the main sourc More

  In analyzing relative performance, especially at the institutional level, the traditional data envelopment analysis models do not recognize vastly different and important activities as separate functions and therefore cannot identify which function may be the main source of inefficiency. Mutual fund families are a group of mutual funds that are established through one investment company. The aim of this paper is to evaluate the relative performance of 18 mutual fund families in Iran during the years 1396 and 1397, by implementing a two-stage DEA model that decomposes the overall efficiency of each decision making unit into two components of operational management efficiency and portfolio management efficiency. The results show that by decomposing the overall efficiency into two components, one can determine mutual funds with good performance from those of bad or poor performance. Also, the frontier projections of mutual fund families with poor performance is calculated in order to help management in managing the relative performance of each family. According to assessment results of 18 mutual fund families in Iran, they have poor performance in operational management which means that management of costs of the funds is poor. Manuscript profile
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  57 - Combining Multi-Criteria Decision Making and Mathematical Optimization as a Basis for Capital Decision Making
  Ali Sepehri Hossein Jabbari Hassan Ghodrati Ghazaani Hossein Panahian
  The present study was conducted with the aim of combining multi-criteria decision making approach and mathematical optimization in evaluating financial efficiency and refining the affecting factors. In this research, based on a quantitative analysis, a distinction is ma More

  The present study was conducted with the aim of combining multi-criteria decision making approach and mathematical optimization in evaluating financial efficiency and refining the affecting factors. In this research, based on a quantitative analysis, a distinction is made between capital decision supporting and decision-making, and data envelopment analysis has been used in selecting the investment option. The type of research has been done in terms of theoretical-applied purpose and with survey research design. Using the fuzzy Dematel method, the most effective factors of financial efficiency was: 1) Current ratio, 2) Liquidity of assets, 3) Ownership ratio, 4) Operating cost rate, 5) Firm size, 6) Operating return on assets, 7) Net return Assets, 8) return on equity, 9) current asset turnover, 10) average monthly return, 11) daily price to earnings per share, 12) earnings growth. The statistical population of the research in the refinement of inputs and outputs includes professors and experts and, 183 selected companies of Tehran Stock Exchange in the selection of the optimal capital combination. The evaluation of financial efficiency led to the identification of 42 companies as justified investment options. Manuscript profile
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  58 - Evaluation and ranking of market risk in infrastructure projects using integrated DEA/AHP technique
  fatemeh komaki reza fallahnejad farhad Hoseinzadeh Lotfi mohsen rostsmi malekhalifeh
  AbstractInvestment in projects is one of the factors of economic growth and sustainable development in countries. Since investors are usually exposed to different risks and due to the importance of risk in selecting projects, it has always been focused on the optimizati More

  AbstractInvestment in projects is one of the factors of economic growth and sustainable development in countries. Since investors are usually exposed to different risks and due to the importance of risk in selecting projects, it has always been focused on the optimization of project selection and optimization techniques to reduce risks. The main risks associated with investment projects are divided into market and political risk groups, which can lead to decrease in productivity and increased cost in a capital project .Market risk consists of four risk factors: commercial risk, project progress risk, vector gain risk and construction risk. The aim of this paper is evaluation and ranking of market risks in selecting different types of capital projects based on mathematical programming model with DEA / AHP combined technique so that according to the relative weights, the overall impact of market risk on project prioritization is determined. After the implementation of the proposed algorithm, the risk of advancing the first priority, risk of construction / completion of second priority, risk taking and commercial risk were placed third and fourth priority so that investors can identify and reduce their effects in projects. Manuscript profile
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  59 - Credit risk management in the banking system - A comparative approach of Data Envelopment Analysis and Neural Network and Logistic Regression
  Marziyeh Ebrahimi Shghagi Abdollah Daryabor
  This research has been done with the aim of identification of effective factors which influence credit risk and designing model for estimating credit Rating of the companies which have borrowed from a commercial Bank in the one-year period by using Data Envelopment Anal More

  This research has been done with the aim of identification of effective factors which influence credit risk and designing model for estimating credit Rating of the companies which have borrowed from a commercial Bank in the one-year period by using Data Envelopment Analysis and neural network model and comparison of these two models . For this purpose the necessary sample data on financial and non-financial information of 146 companies (as random simple) was selected. In this research, 27 explanatory variables (include financial and non-financial variables) were obtained, by application of factor analysis and Delphi method for examination. Finally 8 variables which had significant effect on credit risk were selected and entered to DEA model. Efficiency of companies was calculated with these variables. Also variables as well as the input vector three-layer perceptron neural network models were added to the model .finally data was processes with logistic regression.  Results from data envelopment analysis model and Neural network and Logistic regression  in comparisons to the actual results obtained from neural network models to predict credit risk legal customers and credit rating suggest that neural network is more efficient than data envelopment analysis and logistic regression.   Manuscript profile
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  60 - Identifying the relative efficiency of banks, using the data envelopment analysis and fuzzy multi-attribute decision-making approach (Case Study: The Bank accepted in the Tehran Stock Exchange)
  Golnar Golbazkhanin pour Ali Fazel Yazdi Mohamad Hosein Tahari Mehrjardi
  Financial and monetary institutions and particularly the commercial banks, is important for direction and significant influence on economic and social development of countries. Thus it seems necessary and logical the model provides for feedback to improve performance in More

  Financial and monetary institutions and particularly the commercial banks, is important for direction and significant influence on economic and social development of countries. Thus it seems necessary and logical the model provides for feedback to improve performance in various branches of the organization and access tools to meet the needs of managers.In order to above requirements, this research intends to use the appropriate model for evaluating the performance of banks in the Tehran Stock Exchange, in order to identify the efficient and inefficient banks in exchange, and provide the competitors' strategies appropriate for to improve performance the inefficient banks and enhance more the performance efficient banks. In this study the experience of using the combination model of data envelopment analysis and fuzzy multi-attribute decision-making for assessing the performance of Bank adopted in the Tehran Stock Exchange, effort to using the technique of hierarchical fuzzy process to identify the final input and output for of The relative performance of  bank adopted in the Tehran stock exchange, and then collect the relevant information, can be measured the efficiency of these units using data envelopment analysis models. While each of these cases, studiedthe sensitivity analysis of input and output and complete ranking of banks for each of the years using cross-efficiency evaluation method. Manuscript profile
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  61 - Production planning in parallel production systems such as banks: A DEA-based approach
  Sohrab Kordrostamia Alireza Amirteimoori Atefeh Masoumzadeha
  Banking industry in the world and especially in Iran are among those competitive organizations that active based on parallel production systems. So,production planning for the next period of activity is so sensitive, and important. To achieve these end, Decisions should More

  Banking industry in the world and especially in Iran are among those competitive organizations that active based on parallel production systems. So,production planning for the next period of activity is so sensitive, and important. To achieve these end, Decisions should forecastes short and long financial plans for next period. In many real word problems, there is production systems which are composed a finite number of production stations arranged in parallel. The problem of production planning and resource allocation in such systems is an important subject in DEA context. In this paper, the problem of resource allocation and production planning in parallel production systems has been studied. An aggregated DEA model is used to the production planning problem. An empirical example is used to illustrate the applicability to the proposed approach. Manuscript profile
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  62 - Efficiency and Productivity in Tehran Stock Exchange based on Diversification Strategy
  Meysam Doaei Babooshka Shavazipour Mahdi Zamani Sabzi
  In recent years, corporate diversification has turned into a highly controversial issue amongst numerous managers. It is contended by many that diversification is vitally important and highly effective especially when it comes to evaluating the financial performance. Th More

  In recent years, corporate diversification has turned into a highly controversial issue amongst numerous managers. It is contended by many that diversification is vitally important and highly effective especially when it comes to evaluating the financial performance. There are several studies about the relationship between diversification and financial performance. However, there is no agreement that diversified firms are more efficient than focus firms. In this study, the listed firms in Tehran Stock Exchange are ranked based on their efficiency scores calculating by Data Envelopment Analysis (DEA) models. Then, by slack analysis, the proposed improvement strategies for inefficient firms have been cited. Ultimately, the Malmquist index of productivity (MIP) has been utilized to further comparison and analysis. Manuscript profile
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  63 - یک روش ترکیببی جدید بر اساس تحلیل پوششی داده ها و شبکه عصبی برای بهینه سازی ارزیابی عملکرد
  علی نمکین سید اسماعیل نجفی محمد فلاح مهرداد جوادی
  در این مقاله ، یک روش جدید ترکیبی از شبکه های عصبی پرسپترون چند لایه و تحلیل پوششی داده ها ارائه می شود که در آن مقادیر ورودی و خروجی برای تعداد زیادی واحد تصمیم گیرنده به عنوان ورودی های شبکه عصبی تعیین می شود. می توان دید که با بکارگیری شبکه عصبی برای حل مسائل تحلیل پ More

  در این مقاله ، یک روش جدید ترکیبی از شبکه های عصبی پرسپترون چند لایه و تحلیل پوششی داده ها ارائه می شود که در آن مقادیر ورودی و خروجی برای تعداد زیادی واحد تصمیم گیرنده به عنوان ورودی های شبکه عصبی تعیین می شود. می توان دید که با بکارگیری شبکه عصبی برای حل مسائل تحلیل پوششی داده ها نیاز به حل مدل مورد نظر برای هر واحد تصمیم گیرنده نیست و لذا الگوریتم ارائه شده زمان پردازش و استفاده از حافظه را نسبت به آنچه مورد نیاز روش متعارف در تحلیل پوششی داده ها است، به مقدار زیادی کاهش می دهد.جهت بررسی دقت شبکه ارائه شده،  چندمطالعه موردی از جمله مجموعه ای از  500شعبه بانک  مورد استفاده قرار می گیرد.نتایج نشان دهنده دقت بالا وزمان محاسباتی کمتر(اعتبارلازم) مدل ترکیبی پیشنهادی است. Manuscript profile
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  64 - الگویابی شرکت های خدمات پس از فروش خودرو با معیار های وابسته- کاربردی از تحلیل پوششی داده ها
  سجاد خیری فرهاد حسین زاده لطفی سیداسماعیل نجفی بیجان رحمانی
  10.30495/ijim.2022.62771.1543
  الگویابی ابزاری جهت ارزیابی عملکرد سازمانی با رویکرد یادگیری از دیگران می باشد. اهمیت الگویابی در تمامی صنایع بر هیچکس پوشیده نیست، در صنعت خودرو نیز هرساله عملکرد نمایندگی های خدمات پس از فروش خودرو در ایران توسط شرکت بازرسی کیفیت و استاندارد ایران مورد ارزیابی قرار می More

  الگویابی ابزاری جهت ارزیابی عملکرد سازمانی با رویکرد یادگیری از دیگران می باشد. اهمیت الگویابی در تمامی صنایع بر هیچکس پوشیده نیست، در صنعت خودرو نیز هرساله عملکرد نمایندگی های خدمات پس از فروش خودرو در ایران توسط شرکت بازرسی کیفیت و استاندارد ایران مورد ارزیابی قرار می گیرند یکی از روش های بهبود مستمر نمایندگی های خدمات پس از فروش الگویابی از نمونه های موفق و کارا در سطح کشور می باشد. در این مقاله یک مدل الگویابی با درنظر گرفتن این موضوع که شاخص تعمیرات و رضایت مشتریان به یکدیگر وابسته هستند توسعه داده شده است. برای بهبود دقت و عملیاتی بودن الگویابی برخی محدودیت ها با نظر خبرگان به مدل اضافه شده است، با درنظر گرفتن متغیر های وابسته یک مدل تحلیل پوششی داده های پیشنهاد شده و این مدل برای الگویابی 20 نمایندگی خدمات پس از فروش یک شرکت خودرویی اجرا شده است. با اجرای مدل و مقایسه با نتایج مدل اولیه مشاهد شد که شرایط اعمال شده الگویابی را تغییر داده و دقت الگویابی را افزایش داده است. در این مقاله مفهوم تاثیر و اهمیت متغیر های وابسته در تعیین الگویابی بحث شده است و با این مفهوم یک مدل الگویابی برای نمایندگی های خدمات پس از فروش خودرو ارائه شده است. Manuscript profile
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  65 - آنالیز کارایی هزینه و درآمد غیرمحدب در شبکه دو مرحله ای و کاربرد آن برای فرودگاههای ایران
  جواد گرامی محمد رضا مظفری پریسا کامیاب
  در دنیای حقیقی ممکن است تصمیم گیرنده بخواهد کارایی هزینه و درآمد را برای واحدهای تصمیم گیرنده موجود در مقابل برای واحدهای تصمیم گیرنده مجازی انجام دهد در اینصورت دیگر نمی توان از مدلهای سنتی تحلیل پوششی داده ها استفاده نمود و باید از مدلهای FDH به منظور ارزیابی کارایی و More

  در دنیای حقیقی ممکن است تصمیم گیرنده بخواهد کارایی هزینه و درآمد را برای واحدهای تصمیم گیرنده موجود در مقابل برای واحدهای تصمیم گیرنده مجازی انجام دهد در اینصورت دیگر نمی توان از مدلهای سنتی تحلیل پوششی داده ها استفاده نمود و باید از مدلهای FDH به منظور ارزیابی کارایی واحدهای تصمیم گیرنده استفاده نماییم. در این مقاله مدلهای ارزیابی کارایی درآمد و هزینه را بر اساس مدلهای FDH و مقایسات زوجی توسعه می دهیم. در ادامه مدلهای ارائه شده را برای شبکه دو مرحله ای توسعه میدهیم و مقادیر مطلوب ورودیها و خروجیها را با توجه به قیمت آنها بدست می آوریم. یک الگوریتم برای اندازه گیری کارایی هزینه و درآمد بر اساس نسبت ورودیها و خروجیها ارائه شده است. سرانجام الگوریتم ارائه شده را برای ارزیابی کارایی 13 فرودگاه با ساختار شبکه دو مرحله ای در ایران بدون در نظر گرفتن قید تحدب بکار می بریم. در انتها نتایج حاصل از تحقیق را ارائه میدهیم. Manuscript profile
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  66 - مدل BCC تحلیل پوششی داده ها نایقین با درجه باور: یک مطالعه موردی در بانکهای ایرانی
  محمد جمشیدی مسعود صانعی علی محمودی راد قاسم توحیدی فرهاد حسین زاده لطفی
  تحلیل پوششی داده ها (DEA) به عنوان یک ابزار تحلیلی قوی که در اندازه گیری کارایی نسبی گروهی از واحدهای تصمیم گیرنده (DMUs) با  چندین ورودی ها و خروجی ها مورد استفاده قرار می گیرد، شناخته می شود. مدلهای DEA به ورودی ها و خروجی هایی با اطلاعات دقیق نیاز دارند. با این More

  تحلیل پوششی داده ها (DEA) به عنوان یک ابزار تحلیلی قوی که در اندازه گیری کارایی نسبی گروهی از واحدهای تصمیم گیرنده (DMUs) با  چندین ورودی ها و خروجی ها مورد استفاده قرار می گیرد، شناخته می شود. مدلهای DEA به ورودی ها و خروجی هایی با اطلاعات دقیق نیاز دارند. با این حال، در شرایط دنیای واقعی،  ورودی ها و خروجی ها ممکن است ناپایدار و پیچیده باشند،  بنابراین نمی توان به طور دقیق آنها را اندازه گیری کرد. این مسأله منجر به بررسی مدلهای  DEA  نایقین می شود. مدل BCC که در این مقاله مورد مطالعه قرار می گیرد،  در یک محیط نایقین مورد مطالعه قرار گرفته است که در آن ورودی ها و خروجی های نایقین، مبتنی بر درجه باور هستند که  برای مواردی که هیچ اطلاعات تاریخی از یک رویداد نامشخص در دسترس نیست ، مفید می باشند. به عنوان یک روش جواب، مدل BCC نایقین، به طور جداگانه به یک مدل قطعی با استفاده از روشهای مقدار مورد انتظار (EV) و روش محدودیت شانس و مقدار مورد انتظار (EVCC) تبدیل می شود.  سرانجام ، یک مثال کاربردی در مورد سیستم بانکی ایران برای شرح روش پیشنهادی ارائه شده است. Manuscript profile
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  67 - تحلیل پوششی داده های شبکه ای پنجره ای: کاربرد در شرکت های سرمایه گذاری
  P. Peykani E. Mohammadi
  تحلیل پوششی داده های شبکه ای یکی از مهم ترین شاخه های تحلیل پوششی داده ها می باشد که به منظور سنجش عملکرد واحدهای تصمیم گیرنده با ساختار داخلی یا شبکه به کار گرفته می شود. در این مطالعه، مدل تحلیل پوششی داده های شبکه ای پنجره ای ارائه می شود که می تواند در حضور داده های More

  تحلیل پوششی داده های شبکه ای یکی از مهم ترین شاخه های تحلیل پوششی داده ها می باشد که به منظور سنجش عملکرد واحدهای تصمیم گیرنده با ساختار داخلی یا شبکه به کار گرفته می شود. در این مطالعه، مدل تحلیل پوششی داده های شبکه ای پنجره ای ارائه می شود که می تواند در حضور داده های پانل مورد استفاده قرار گیرد. علاوه بر این ، مدل پیشنهادی برای ارزیابی کارایی پویای 5 شرکت سرمایه گذاری در بورس اوراق بهادار تهران در بازه زمانی 2013 تا 2017 استفاده شده است. نتایج تجربی نشان می دهد که مدل پیشنهادی تحلیل پوششی داده های شبکه ای پنجره ای مؤثر است و استفاده از این مدل ، قابلیت اطمینان نتایج را افزایش می دهد. Manuscript profile
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  68 - فاکتورهای نامطلوب و بهبود کارایی در تحلیل پوششی داده ها
  M. Eyni M. Khodadadi
  در این مقاله، تعیین سطح خروجی های واحد های تصمیم گیری را با توجه به بهبود کارایی آنها در صورتی که تعدادی از خروجی ها نامطلوب باشند با ارجحیت محدویت های مخروطی بحث و بررسی می شود. وقتی بعضی یا همه مولفه های  سطح ورودی افزایش  یابد  و  سطح کارایی فعلی More

  در این مقاله، تعیین سطح خروجی های واحد های تصمیم گیری را با توجه به بهبود کارایی آنها در صورتی که تعدادی از خروجی ها نامطلوب باشند با ارجحیت محدویت های مخروطی بحث و بررسی می شود. وقتی بعضی یا همه مولفه های  سطح ورودی افزایش  یابد  و  سطح کارایی فعلی بهبود یابد سطح خروجیDMU   تخمین زده می شود. برای ارزیابی  سطح خروجی  ها، از تحلیل  پوششی داده های(DEA) معکوس  و مدل برنامه ریزی خطی چندچندهدفه (MOLP) استفاده شده است. روش پیشنهادی با به کاربردن آن در مورد بانک  توضیح داده  می شود. Manuscript profile
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  69 - الگویابی بر مبنای تراکم و توسعه پایدار در تحلیل پوششی داده های شبکه ای، مطالعه موردی: 9 زنجیره تامین رب گوجه فرنگی ایران
  الهه مولائیان فرهاد حسین زاده لطفی عباس طلوعی اشلاقی محسن رستمی مال خلیفه محمد علی افشار کاظمی
  10.30495/ijim.2021.18999
  این مقاله در ارتباط با مبحث الگویابی برای واحد تصمیم گیرنده سه مرحله  می باشد. ابتدا تراکم در واحد شناسایی می شود و حذف می گردد، بدین ترتیب مقادیر تعدیل شده برای محصولات میانی و ورودی های اولیه سیستم بدست می آید. این مقادیر تعدیل شده، که منجر به مغلوب کردن مقادیر ج More

  این مقاله در ارتباط با مبحث الگویابی برای واحد تصمیم گیرنده سه مرحله  می باشد. ابتدا تراکم در واحد شناسایی می شود و حذف می گردد، بدین ترتیب مقادیر تعدیل شده برای محصولات میانی و ورودی های اولیه سیستم بدست می آید. این مقادیر تعدیل شده، که منجر به مغلوب کردن مقادیر جاری و تعیین کردن نقطه الگو حاصل می شوند، با استفاده از مدل معکوس DEA حاصل می شود که یکی از مهم ترین بخش های این مقاله است. این فرآیند در دو حالت مجزا اتفاق می افتد: حالت اول اینکه کارایی کل سیستم ثابت می ماند و حالت دوم اینکه کارایی کلی سیستم درصدی بهبود دارد. Manuscript profile
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  70 - ارائه مدلی جدید برای ارزیابی و رتبه بندی واحدهای تصمیم گیری با داده های ترتیبی
  جعفر پورمحمود داود نوروزی
  10.30495/ijim.2022.63950.1554
  تحلیل پوششی داده های کلاسیک مقادیر ورودی ها و خروجی ها را کاملا مشخص فرض میکند. در حالیکه در اغلب مسایل واقعی مقادیر دقیق ورودی ها و خروجی ها مبهم هستند. یکی از داده های مبهم داده های ترتیبی هستند. در این مقاله مدل جدیدی برای اندازه گیری کارآیی واحدهای تصمیم گیری با داد More

  تحلیل پوششی داده های کلاسیک مقادیر ورودی ها و خروجی ها را کاملا مشخص فرض میکند. در حالیکه در اغلب مسایل واقعی مقادیر دقیق ورودی ها و خروجی ها مبهم هستند. یکی از داده های مبهم داده های ترتیبی هستند. در این مقاله مدل جدیدی برای اندازه گیری کارآیی واحدهای تصمیم گیری با داده های ترتیبی ارائه میشود. ایده کلی این مدل آن است که تغییرات کارایی واحدها در ارزیابی باید به اندازه قابل کنترل مجاز باشد. بعلاوه مدل جدیدی برای رتبه بندی واحدهای کارآ بیان می شود. نتایج مدل پیشنهادی با مدل کوپر مقایسه میشود. بنابراین نمرات کارآیی حاصل از مدل پیشنهادی قابل اعتمادتر از نتایج حاصل از مدل کوپر هستند. Manuscript profile
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  71 - انتخاب سهام با روش ترکیبی تحلیل پوششی داده ها و الگوریتم رقابت استعماری
  F. Faezy Razi
  مقاله حاضرچهارچوب جدیدی برای ایجاد یک پرتفوی جدید از سهام ارایه می دهد . در این مقاله بحث می شود که چگونه یک پرتفوی بهینه ی سهام از طریق رویکرد حاضر در مقایسه با روش های قبلی طراحی می شود.در این مقاله ، پرتفوی سرمایه گذاری بر اساس الگوریتم داده کاوی چید بر مبنای معیار ر More

  مقاله حاضرچهارچوب جدیدی برای ایجاد یک پرتفوی جدید از سهام ارایه می دهد . در این مقاله بحث می شود که چگونه یک پرتفوی بهینه ی سهام از طریق رویکرد حاضر در مقایسه با روش های قبلی طراحی می شود.در این مقاله ، پرتفوی سرمایه گذاری بر اساس الگوریتم داده کاوی چید بر مبنای معیار ریسک تشکیل می شود.در مرحله ی بعد ، دومین پرتفوی سرمایه گذاری بر مبنای قواعد تصمیم استخراج شده بر مبنای مدل DEA-BCC ایجاد می شود.پرتفوی نهایی از طریق یک مدل برنامه ریزی دو هدفه مبتنی بر الگوریتم رقابت استعماری ایجاد می شود.متدولوژی ارایه شده از طریق یک مطالعه موردی در بورس اوراق بهادار تهران بکار گرفته شده است.نتایج الگوریتم چید بر مبنای فیلد خروجی ریسک نشان می دهد که تمام سهام های کاندیدا در یک کلاس قرار نمی گیرد و ضروری است که هر کلاس از سهام های کاندیدا در مقایسه با سایر کلاس های سهام به صورت مستقل مورد ارزیابی قرار بگیرد.نتایج بکارگیری الگوریتم رقابت استعماری در مقیاس های کوچک و متوسط بر مبنای روش تاگوچی نشان می دهد که سهام های مورد مطالعه در روش بکار گرفته شده کالیبره می باشد.بر خلاف سایر روش های انتخاب پرتفوی سهام ،این مقاله ابتدا سهام ها را از طریق الگوریتم چید طبقه بندی می کند . سهام های طبقه بندی شده در هر کلاس به طور مستقل از طریق مدل DEA-BCC موردارزیابی قرار می گیرد.در نهایت پرتفوی بهینه از طریق الگوریتم رقابت استعماری انتخاب می شود. Manuscript profile
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  72 - بازده به مقیاس تعمیم یافته برای مدل های ضربی در تحلیل پوششی داده ها
  علیرضا داودی مسعود زارع پیشه رضا فلاح نژاد
  در مدل های متعارفی تحلیل پوششی داده ها، مفهوم بازده به مقیاس براساس نسبت متناسب تغییرات خروجی به نسبت تغییرات ورودی به صورت موضعی تعریف می شود. بازده به مقیاس تعمیم یافته به منظور محاسبه نرخ تغییرات خروجی ها به ورودی ها تا رسیدن به الگوی بیشترین اندازه مقیاس بهره وری تع More

  در مدل های متعارفی تحلیل پوششی داده ها، مفهوم بازده به مقیاس براساس نسبت متناسب تغییرات خروجی به نسبت تغییرات ورودی به صورت موضعی تعریف می شود. بازده به مقیاس تعمیم یافته به منظور محاسبه نرخ تغییرات خروجی ها به ورودی ها تا رسیدن به الگوی بیشترین اندازه مقیاس بهره وری تعریف می شود. مدلهای ضربی در تحلیل پوششی داده ها مدلهایی هستند که در آنها به جای اصل تحدب در اصول مجموعه امکان تولید، از اصل تحدب هندسی استفاده می شود. در این مقاله روشی را برای تعیین بازده به مقیاس تعمیم یافته برای مدل های ضربی تحلیل پوششی داده ها معرفی کرده و روی مثالی به صورت عددی آن را بررسی خواهیم نمود. علاوه بر آن نشان خواهیم داد چگونه می توان شاخص های غیرقابل کنترل را که تغییرات در آنها در اختیار تصمیم گیرنده نیست، در مدل لحاظ نمود. Manuscript profile
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  73 - یک روش DEA فازی برای انتخاب پروژه با استفاده از تحلیل ریسک مطلوب و نا مطلوب
  شقایق صادقیان فرهاد حسین زاده لطفی بهروز دانشیان نیما آذرمیر
  10.30495/ijim.2022.59776.1508
  این مقاله یک مدل مبتنی برDEA برای تحلیل ریسک فازی در انتخاب پروٰژه ارایه می دهد. ما از مفهوم نیم واریانس برای اندازه گیری ریسک بالا و پایین ویک مدل DEAبرای طبقه بندی ریسک مطلوب و نامطلوب استفاده می کنیم. اولا مدل پیشنهادی شامل شاخص های جدید ریسک مطلوب-بازده و ریسک نامطل More

  این مقاله یک مدل مبتنی برDEA برای تحلیل ریسک فازی در انتخاب پروٰژه ارایه می دهد. ما از مفهوم نیم واریانس برای اندازه گیری ریسک بالا و پایین ویک مدل DEAبرای طبقه بندی ریسک مطلوب و نامطلوب استفاده می کنیم. اولا مدل پیشنهادی شامل شاخص های جدید ریسک مطلوب-بازده و ریسک نامطلوب-بازده است.بنابراین یک مدل جدید برای ارزیابی و طبقه بندی ریسک مطلوب و نامطلوب ارایه شده است. ونهایتا به یک مدل DEAفازی برای انتخاب پورتفولیو پروژه توسعه داده شده است. یک مثال کاربردی با ۳۷ پروژه در دسترس برای توضبح و کاربردی بودن روش پیشتهادی ارایه شده است. Manuscript profile
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  74 - تحلیل پوششی داده ها و شاخص مالم کوئیست برای اندازه گیری بهره وری واحدهای تصمیم گیرنده ناکارا
  ملیحه شاهکویی فرزاد رضایی بالف محسن ربانی مهدی فلاح جلودار
  10.30495/ijim.2022.64370.1561
  تحلیل پوششی داده ها، یک تکنیک برنامه ریزی ریاضی ناپارامتریک برای ارزیابی کارایی مجموعه ای از واحدهای تصمیم گیری همگن است، به طوری که واحدهای تصمیم گیرنده را به دو گروه کارا و ناکارا ارزیابی می شوند. با توجه به هزینه های سرسام آور برای مدیریت DMU ها یا سازمان ها، نگهداری More

  تحلیل پوششی داده ها، یک تکنیک برنامه ریزی ریاضی ناپارامتریک برای ارزیابی کارایی مجموعه ای از واحدهای تصمیم گیری همگن است، به طوری که واحدهای تصمیم گیرنده را به دو گروه کارا و ناکارا ارزیابی می شوند. با توجه به هزینه های سرسام آور برای مدیریت DMU ها یا سازمان ها، نگهداری برخی از سازمان های زیان ده مقرون به صرفه نیست. بنابراین یکی از دغدغه های مدیران در بحث مربوط به مشکلات مالی سازمان ها، حفظ یا ادغام یا حذف سازمان های ناکارا (DMU های ناکارا) است. بنابراین، در این مقاله ما بهره‌ وری واحدهای تصمیم گیرنده ناکارا را با استفاده از شاخص بهره‌وری مالم کوئیست اصلاح شده اندازه‌ گیری می‌کنیم تا بر اساس آن تصمیم حفظ یا ادغام یا حذف واحدهای تصمیم گیرنده ناکارا توسط تصمیم‌ گیرندگان گرفته شود. Manuscript profile
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  75 - یک تجزیه جدید از کارایی هزینه بر اساس مجموعه های امکان تولید قیمتی و هزینه ای در فضای غیررقابتی در تحلیل پوششی داده ها
  رضا فلاح نژاد الهام رضایی حزاوه
  10.30495/ijim.2021.19052
  شناسایی منابع مختلف ناکارایی، نقش مهمی در تحلیل عملکرد با هدف توسعه برنامه‌هایی برای بهبود تصمیم‌گیری ایفا می‌کند. در این راستا نه تنها کارایی فنی، هزینه ای و تخصیصی را می توان با اطلاعات ورودی ها و خروجی ها و قیمت آنها تخمین زد، بلکه می توان زیان های ناشی از عدم سود، د More

  شناسایی منابع مختلف ناکارایی، نقش مهمی در تحلیل عملکرد با هدف توسعه برنامه‌هایی برای بهبود تصمیم‌گیری ایفا می‌کند. در این راستا نه تنها کارایی فنی، هزینه ای و تخصیصی را می توان با اطلاعات ورودی ها و خروجی ها و قیمت آنها تخمین زد، بلکه می توان زیان های ناشی از عدم سود، درآمد و هزینه بهینه را نیز بر اساس ناکارای های مربوطه محاسبه کرد.  مقاله حاضر قصد دارد تخمین جدیدی از کارایی هزینه و منابع تلفات در کارایی کل در یک محیط غیر رقابتی که امکان تغییر قیمت ورودی ها و خروجی ها از یک واحد تصمیم گیری وجود دارد، را ارائه دهد. در راستای مطالعات(Tone. K., Tsutsui, M. "Decomposition of Cost Efficiency and its Application to Japanese-Us Electric Utility Comparisons". Socio-Economic Planning Sciences 47 (2007), pp.91-106)و(Tone .K, "A Strange Case of the Cost and Allocative Efficiencies in DEA". Journal of the Operational Research Society 53, (2002), pp.1225-1231)مطالعه حاضر به دنبال معرفی منابع جدید ناکارایی و زیان های مرتبط با آنها توسط ارائه مجموعه های امکان تولید جدید مبتنی بر قیمت و هزینه می باشد.  Manuscript profile
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  76 - کارایی تصادفی مبتنی بر مدل وزن مشترک در تحلیل پوششی داده ها
  مرضیه قاسمی محمدرضا ظفری محسن رستمی مال خلیفه محمدحسن بهزادی
  10.30495/ijim.2022.19278
  تحلیل پوششی داده ها (DEA) روشی برای ارزیابی عملکرد مجموعه ای از واحدهای تصمیم گیرنده (DMU) متجانس با چندین ورودی و چندین خروجی می باشد. . مدل های مختلفی برای محاسبه کارایی در DEA وجود دارند که یکی از آن ها، مدل مجموعه وزن های مشترک (CSW) می باشد، که به طور گسترده ای توس More

  تحلیل پوششی داده ها (DEA) روشی برای ارزیابی عملکرد مجموعه ای از واحدهای تصمیم گیرنده (DMU) متجانس با چندین ورودی و چندین خروجی می باشد. . مدل های مختلفی برای محاسبه کارایی در DEA وجود دارند که یکی از آن ها، مدل مجموعه وزن های مشترک (CSW) می باشد، که به طور گسترده ای توسط افراد و متخصصان DEA مورد استفاده قرار می گیرد. در تحلیل پوششی داده های کلاسیک تمام مقادیر ورودی ها و خروجی ها به طور دقیق مشخص می باشند. با این حال این فرض ممکن است در مسائل کاربردی همواره برقرار نباشد. یکی از روش های مهم برای مقابله با داده های نامشخص، بررسی داده های تصادفی در DEA است. این مقاله مدل مجموعه وزن های مشترک را برای حالتی که ورودی ها و خروجی ها تصادفی هستند، توسعه می دهد. سپس مدل تصادفی وزن مشترک (SCSW) به یک مدل قطعی غیر خطی تبدیل می گردد. پس از آن مدل قطعی به یک مدل برنامه ریزی درجه دوم تبدیل می شود. . کارایی به دست آمده با استفاده از داده های تصادفی را کارایی تصادفی می نامیم. مفهوم ارائه شده در این مقاله با مثال عددی که مربوط به شعبه های یک بانک ایرانی است نشان داده می شود. Manuscript profile
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  77 - به حداکثر رساندن کارایی کل با تخصیص مجدد منابع در DEA: مطالعه موردی در بورس اوراق بهادار تهران
  عصمت نوروزی الهه صرفی
  10.30495/ijim.2021.19031
  تجزیه و تحلیل پوششی داده ها یک تکنیک مبتنی بر برنامه ریزی ریاضی برای تعیین کارایی واحدهای تصمیم گیری (DMU) است. در برخی موارد ، مدیر قصد ندارد یک منبع جدید اضافه کند ، بلکه یکی از منابع قبلی را مجدداً تخصیص می دهد. تخصیص مجدد منابع ممکن است با اهداف مختلف انجام شود و مز More

  تجزیه و تحلیل پوششی داده ها یک تکنیک مبتنی بر برنامه ریزی ریاضی برای تعیین کارایی واحدهای تصمیم گیری (DMU) است. در برخی موارد ، مدیر قصد ندارد یک منبع جدید اضافه کند ، بلکه یکی از منابع قبلی را مجدداً تخصیص می دهد. تخصیص مجدد منابع ممکن است با اهداف مختلف انجام شود و مزایای متفاوتی داشته باشد. به عنوان مثال ، بدون افزودن منبع جدید و تنها با استفاده از منابع یکسان ، آیا می توان بازده یک واحد را افزایش داد یا حتی کارایی کل سیستم را افزایش داد؟ در این مقاله ، یک مدل ریاضی ارائه شده است که می تواند برای تخصیص مجدد یکی از منابع موجود قبلی بین واحدها به گونه ای استفاده شود که کارایی کل واحدهای تصمیم گیرنده به حداکثر مقدار ممکن برسد. در این مدل ، به منظور جلوگیری از کاهش بیش از حد سهم هر واحد از منبع مورد نظر ، محدودیت هایی در نظر گرفته شده است. در این محدودیت ها ، حد پایینی برای سهم هر واحد مشخص شده است. همچنین ، تخصیص مجدد منابع به احتمال زیاد منجر به تغییراتی در مقادیر خروجی واحدهای تصمیم گیرنده می شود. در مدل ارائه شده ، برخی از محدودیت ها در نظر گرفته می شوند که حد بالایی را برای خروجی های تولید شده توسط واحدها مشخص می کند. محدودیت های دیگری در این مدل وجود دارد. اول این که سهم کل واحدها از منبع مورد نظر نباید از مقدار موجود آن بیشتر باشد و دوم این که کل خروجی تولید شده توسط همه واحدها باید حداقل برابر کل خروجی تولید شده قبل از تخصیص مجدد باشد. مدل ارائه شده در این مقاله ، علاوه بر در نظر گرفتن محدودیت های توصیف شده ، که همه آنها اجتناب ناپذیر هستند ، به یک مدل برنامه ریزی خطی تبدیل شده است که توسط بسیاری از نرم افزارهای موجود قابل حل است. Manuscript profile
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  78 - طراحی مدل ارزیابی کارایی شبکه ای تولید دو مرحله ای، با خروجی مطلوب و نامطلوب (مطالعه موردی صنعت تولید کره)
  عاطفه شیروانی امیر عزیزی
  10.30495/ijim.2022.65237.1568
  تعیین و سنجش کارایی، راهبردی مهم در تصمیم گیری‌ها می باشد با توجه به شفاف نبودن میزان کارایی مراحل تولید در واحدهای تولیدکره گیری، هدف این پژوهش، طراحی مدل تحلیل پوششی داده ها برای ارزیابی کارایی مراحل تولید این واحدها میباشد.روش این پژوهش، که نوآوری این پژوهش برای این More

  تعیین و سنجش کارایی، راهبردی مهم در تصمیم گیری‌ها می باشد با توجه به شفاف نبودن میزان کارایی مراحل تولید در واحدهای تولیدکره گیری، هدف این پژوهش، طراحی مدل تحلیل پوششی داده ها برای ارزیابی کارایی مراحل تولید این واحدها میباشد.روش این پژوهش، که نوآوری این پژوهش برای این جامعه پژوهشی میباشد بدین صورت است که، با الگوگیری از مدل تحلیل پوششی داده های شبکه ای خلیلی و شهمیر(2015) مدلی برای ارزیابی کارایی سیستم تولید دو مرحله ای با خروجی مطلوب و نامطلوب، ارایـه گردیده است .بدین منظور، با استفاده از داده های دقیق و قطعی سال1399 مربوط به بیست کارخانه تولید کره، با تحلیل پوششی داده های شبکه‌ای، کارایی مراحل دوگانه به صورت جداگانه و به صورت یکپارچه ارزیابی گردید. در پایان مرحله اول، دو نوع خروجی مطلوب وجود دارد یک خروجی مطلوب خامه صبحانه وجود دارد که وارد مرحله دوم تولید نمی شود و برای فروش به بازار عرضه می گردد و یک خروجی مطلوب دیگر، خامه پاستوریزه می باشد که به مرحله دوم تولید منتقل می شود. در پایان مرحله دوم، یک خروجی مطلوب یعنی کره بسته بندی شده و یک خروجی نامطلوب که دوغ کره می باشد، به دست می آید.کارایی تمامی بیست واحد مورد ارزیابی و مقایسه قرار گرفتند. بنا به کارایی فرآیند کل، تنها یک واحد کارا وجود دارد . بنا به کارایی مرحله اول، نیز تنها یک واحد کارا از بین بیست واحد وجود دارد و بنا به مرحله دوم، دو واحد کارا وجود دارند. نتیجه ای که گرفته شده است این می باشد که این صنعت در استانهای تهران و البرز، دارای ناکارآمدی زیادی در مراحل تولید می‌باشد و لزوم توجه مدیران این صنعت برای افزایش کارایی، الزامی است. Manuscript profile
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  79 - یک الگوریتم برای ابرصفحه های سازای ضعیف PPS در تحلیل پوششی داده ها
  علی اکبر بانی محسن رستمی مالخلیفه فرهاد حسین زاده لطفی
  10.30495/ijim.2022.66477.1586
  در تحلیل پوششی داده ها، نقاط مرزی مجموعه امکان تولید از اهمیت ویژه ای برخوردارند. هدف پژوهش حاضر ارائه روشی برای یافتن ابر صفحه های ضعیف مدل های DEA به کمک نقاط اتکا است. نقاط اتکا یک زیر مجموعه مهمی از مجموعه نقاط کارای رأسی مجموعه امکان تولید در DEA می باشد. آن ها با More

  در تحلیل پوششی داده ها، نقاط مرزی مجموعه امکان تولید از اهمیت ویژه ای برخوردارند. هدف پژوهش حاضر ارائه روشی برای یافتن ابر صفحه های ضعیف مدل های DEA به کمک نقاط اتکا است. نقاط اتکا یک زیر مجموعه مهمی از مجموعه نقاط کارای رأسی مجموعه امکان تولید در DEA می باشد. آن ها با ابرصفحه های سازای ضعیف در مجموعه امکان تولید در ارتباط مستقیم هستند. بنابراین، ما از این خاصیت استفاده کردیم و یک الگوریتم کاربردی برای شناسایی ابرصفحه های سازای ضعیف PPS پیشنهاد کردیم. در نهایت، الگوریتم مان را به وسیله دو مثال عددی مورد ارزیابی قرار می دهیم. Manuscript profile
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  80 - Analysis of Sustainable Urban Development Indicators on Urban Neighborhood Performance (Case Study: Bonab City Neighborhoods)
  Azadeh Arbabi Sabzevari HAMED ALEESMAEIL
  Introduction: Cities are considered to be the main cause of instability in the world, and following the change in urban development and development factors, the discussion of sustainability and sustainable development regardless of residential neighborhoods and uncerta More

  Introduction: Cities are considered to be the main cause of instability in the world, and following the change in urban development and development factors, the discussion of sustainability and sustainable development regardless of residential neighborhoods and uncertain urbanization will be. Objectives: The purpose of this study is to analyze the indicators of sustainable urban development on the performance of Bonab neighborhoods. Methods:. The present article is a descriptive-analytical in terms of practical purpose and is a descriptive-analytical method for examining the criteria of sustainable urban development in the form of three selected indicators and 57 sub-indicators of urban sustainable development. For information analysis, Pearson correlation coefficients, multivariate regression, data cover analysis, cross -performance, sensitivity analysis, and SPSS and dea Slover software have been used. Results and Discussion: The results of this study showed that due to the input indicators and output of sustainable urban development of 8 neighborhoods (4, 5, 6, 7, 9, 10, 11, 13), with an efficiency less than one percent As an inefficient neighborhoods and 5 neighborhoods (1, 2, 3, 6, 8), they are recognized as an efficient unit in terms of sustainable urban development indicators. One of the most important factors in neighborhoods is a great use of inputs against the production of small outputs. Conclusion: Inappropriate spatial distribution of urban activities and facilities and services across the city, the life of the livestock, the inconsistencies between the organs and organizations associated with the planning in the city of Bonab, and the lack of optimal use of factors. That is the difference in the performance of neighborhoods. In the meantime, inefficient neighborhoods must change their input indicators to move towards sustainable urban development. Conclusion: Inappropriate spatial distribution of urban activities and facilities and services across the city, the life of the livestock, the inconsistencies between the organs and organizations associated with the planning in the city of Bonab, and the lack of optimal use of factors. That is the difference in the performance of neighborhoods. In the meantime, inefficient neighborhoods must change their input indicators to move towards sustainable urban development. Manuscript profile
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  81 - Ecological and Economic Effects of Land Equipping and Renovation in Irrigated Wheat Production in Hamadan Province
  Mohammad Abdolmaleky Fereshteh Yazdani
  10.30495/sarj.2023.1996429.1154
  The main purpose of this study was to investigate the ecological and economic effects of the land equipping and renovation plan in the irrigated wheat production. Therefore, the environmental sustainability of wheat production by the ecological footprint and its product More

  The main purpose of this study was to investigate the ecological and economic effects of the land equipping and renovation plan in the irrigated wheat production. Therefore, the environmental sustainability of wheat production by the ecological footprint and its production efficiency by data envelopment analysis were measured. The statistical population consisted of wheat farmers from Kheradmand village in the Hamadan province, who have participated in the land equipping and renovation plan and who hadn't participated. The sample size for the participating farmers is 73 and for the non-participating farmers is 74. Data were collected through a questionnaire in a cross-sectional study, using of census method, and were analyzed with SPSS26 and DEAP2.1 software. The average GHG for participant and non-participant farmers in the land reform plan was measured at 778/15 and 1003 kg co2 eq ha-1, respectively. The EF index for these two groups was estimated at 2.39 and 2.44 gha, respectively which there was a significant difference at the 0/01 level. Based on the results of data envelopment analysis, average technical, allocation and economic efficiency were estimated at 0.866, 0.893, and 0.797 respectively, for the equipped and renovated lands, and at 0.863, 0.889, and 0.791 for the not equipped and renovated lands which there was no significant difference between these two types of lands at 0.01 level. According to the results of calculating the carbon emissions indices, the environmental sustainability of the equipped and renovated lands is in better condition. Manuscript profile
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  82 - Comparison the discriminate power of variable return to scale models in evaluate efficiency of decision-making units in the banking industry
  Gholamreza Panahandeh Khojin Abbas Toloie Ashlaghi Mohammad Ali Afshar Kazemi
  Data envelopment analysis is used as a suitable tool to estimate the efficiency of companies that use production technologies with multiple inputs and multiple outputs. Classical data envelopment analysis models often do not provide accurate information about the status More

  Data envelopment analysis is used as a suitable tool to estimate the efficiency of companies that use production technologies with multiple inputs and multiple outputs. Classical data envelopment analysis models often do not provide accurate information about the status of units to managers and organizational policymakers due to the low resolution of units. In this research, the basis of the BCC model is the output oriented of data envelopment analysis and in order to increase the discriminate of efficient decision-making units from inefficient, the ideal data envelopment analysis model based on BCC was used and then to increase the resolution Decision Making Units A new model called the Modified goal Programming Model of Data Envelopment Analysis based on output-oriented BCC was used to measure performance. In this study, the management of Ghavamin Bank branches across the country was evaluated. The results of the research show the discriminate power of the modified goal programming model of data envelopment analysis based on output-oriented BCC compared to other data envelopment analysis models. So that out of 32 managements under review in Ghavamin Bank, the management of branches in the west of Tehran was identified as efficient using this model and the rest of the managements were found to be inefficient. Manuscript profile
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  83 - Evaluating the Energy Efficiency of the Kohgiluyeh and Boyerahmad Province Industries
  Vahide Rezaie Samad Nejatian Masumeh Khanmohammadi
  Nowadays, human looks to tread a path towards optimized using of available resources, Therefore, due to the limitations of capital, time, location, energy, and so on, managers have sought scientific methods from the beginning to make the most of these constraints. one o More

  Nowadays, human looks to tread a path towards optimized using of available resources, Therefore, due to the limitations of capital, time, location, energy, and so on, managers have sought scientific methods from the beginning to make the most of these constraints. one of the most important ways to achieve optimization is evaluating the performance of the Decision Making Units. The gool of this work is to evaluate the energy consumption in the Kohgiluyeh and Boyerahamd province industry considering the industries with 10 and more employees. As in the calculating of the energy efficiency, several outputs and inputs must be considered in form of the productiion function theory, the data envelopment analysis is used to calculate the energy efficiency in the industrial units. Then the results of the energy efficiency, existing barriers and the practical consideration will be explaiend. The results of the efficiency model show that the most important factor of the inefficiency of the province's industry is the large population of job seekers and is the lack of optimal utilization of the workforce in the province's industry. Manuscript profile
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  84 - Determining the main indicators, evaluating and ranking the efficiency of knowledge management performance by data envelopment analysis, case study: Iranian oil industry
  masoud najafi behzad Ghasemi
  The most important reason for identifying the main indicators and calculating the efficiency of knowledge management performance in the oil industry is to maintain and classify the existing knowledge and create a strong global competitive advantage by making progress in More

  The most important reason for identifying the main indicators and calculating the efficiency of knowledge management performance in the oil industry is to maintain and classify the existing knowledge and create a strong global competitive advantage by making progress in developing production methods with new technology based on improving technical knowledge. The most important parameter of performance evaluation is efficiency; there are different methods to measure it. Data envelopment analysis is a powerful tool for calculating system efficiency, including knowledge management performance in the oil industry. In this research, the main indicators of knowledge management were identified using library resources and practical publications. By surveying the employees of oil industry companies with data envelopment analysis and hierarchical analysis techniques, the efficiency of knowledge management performance was calculated, which can be used to rank the companies and planning to improve their knowledge management level. According to the results, the National Refining and Distribution of Petroleum Products Company has acted at higher level than other companies and has a good competitive advantage with its global competitors. The present study is the first study that has calculated the efficiency of knowledge management performance of four main Iranian oil industry companies with data envelopment analysis. Manuscript profile
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  85 - Designing SAIPA supply chain resilience scenarios to evaluate the production process
  Somayeh Shafaghizadeh Sadoullah Ebrahimnejad Mehrzad Navabakhsh Seyed Mojtaba Sajadi
  10.30495/imj.2021.686409
  Contemporary supply chains are complex networks of processes that are subject to many disruptions; a resilient supply chain will be able to respond more quickly to changes by creating capabilities. The effect of supply chain network components on each other under condit More

  Contemporary supply chains are complex networks of processes that are subject to many disruptions; a resilient supply chain will be able to respond more quickly to changes by creating capabilities. The effect of supply chain network components on each other under conditions of uncertainty contributes to complexity and disruption. The supply chain must be pushed towards a resiliency strategy in order to reduce disruptions and deal with issues that arise from the supply chain. The purpose of this paper is to analyze network processes from supplier to distributor, in proportion to the convergence of processes by a combination of resilience factors in the automotive industry. The design of the proposed scenarios with the combination of effective resilience factors is presented, which is based on the opinion of industry experts and also takes the vulnerable factors and disorders of each level into account. First, the sources of supply chain risks such as disruptions, delays and vulnerabilities are identified and then twenty-four scenarios are designed with a combination of resilience factors of flexibility, visibility, velocity, and visibility. The company''s complex supply chain is simulated based on the system''s past rate and statistical distribution functions, and then the network DEA is used to select the superior scenario. The indicators of each scenario or simulation output are selected based on the DEA, ranking the most efficient scenario. Finally, the relationships between them have been explored using mathematical analysis and the creation of a regression model between the simulation indices and the output of scenarios. Manuscript profile
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  86 - Use the game theory approach and data envelopment analysis to calculate cost efficiency in two-stage networks
  Raheleh Mousavizadeh Mehrzad Navabakhsh Ashkan Hafezalkotob
  10.30495/imj.2022.688705
  Performance evaluation in data envelopment analysis is obtained by using technical efficiency calculation. But what is not taken into account in this type of calculation is the price of model inputs. In calculating technical efficiency, the amount of output to the input More

  Performance evaluation in data envelopment analysis is obtained by using technical efficiency calculation. But what is not taken into account in this type of calculation is the price of model inputs. In calculating technical efficiency, the amount of output to the input is maximized, and the model can be used to identify efficient decision-making units, while it is possible to determine the decision-making unit that is at the efficiency limit and a reference for other units. Decision-making systems are efficient at a high cost, and it is possible to find decision-making units that are on the verge of efficiency at a lower production cost. Cost Efficiency seeks to find points that are on the edge of efficiency at the lowest cost. Given the importance of cost efficiency and the lack of attention to this concept in network and multi-stage structures, this study investigates cost efficiency in a purely two-stage process. In the present study, using the concept of game theory and data envelopment analysis in a centralized and decentralized state, we evaluate the performance of purely two-stage processes. In order to investigate the validity and efficiency of the models and their applicability, a case study has been used in the Iranian electricity industry and some management results are discussed. Manuscript profile
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  87 - Presenting a Comparative Model and Financial Ranking of Petrochemical Companies Using Dynamic Network Data Envelopment Analysis (DNDEA)
  Ali hasanpor rahmat alizadeh seyed ali Nabavi Chashmi
  10.30495/imj.2021.686612
  The aim of this study is to provide a comparative model and financial ranking of petrochemical companies using dynamic network data envelopment analysis (DNDEA) approach by CCR and AP methods. occurred. In the first step, a relational model including major profit sheet, More

  The aim of this study is to provide a comparative model and financial ranking of petrochemical companies using dynamic network data envelopment analysis (DNDEA) approach by CCR and AP methods. occurred. In the first step, a relational model including major profit sheet, balance sheet and financial soundness indicators is presented under a dynamic network structure. Then, the dynamic effect of indicators (carriers and relationships) is included to calculate the efficiency scores for these four infrastructures correctly. Then we calculated using the two models and the results were extracted.This research is applied in terms of purpose and its statistical population is petrochemical companies listed on the Tehran Stock Exchange.Based on the research findings, according to the research criteria, efficiency was calculated. Out of 18 petrochemical companies studied, two companies were identified in the CCR method and one company in the AP method as moderately efficient. However, the results show a strong correlation of 71% between the two methods. Manuscript profile
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  88 - A Hierarchical Fuzzy Data Envelopment Analysis to Locate the Solar Power Sites
  Navid Rafiei Mahtab Sherafati
  The creation of solar panels can be a turning point in the use of clean energy. Environmental protection, non-polluting, and efficiency of solar panels cause that they have been one of the important and novel means of electrical power generation in many parts of th More

  The creation of solar panels can be a turning point in the use of clean energy. Environmental protection, non-polluting, and efficiency of solar panels cause that they have been one of the important and novel means of electrical power generation in many parts of the world. In this paper, a hierarchical data envelopment analysis process is applied to determine the most efficient location for the solar power sites under uncertainty environment. Finally, the proposed approach is conducted for a real case study and the best and the most effective location is chosen for solar power generation site.     Manuscript profile
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  89 - A New Expansion on Multi-Stage DEA Methodology in Supply Chain Management
  Saviz Saei Esmaeil Najafi
  Data envelopment analysis is the tool for computation in decision-making units such as supply chain. Since the model of two-stage data envelopment analysis has more focused on supply chain processes in two levels; the evaluation in higher levels has been essential to ob More

  Data envelopment analysis is the tool for computation in decision-making units such as supply chain. Since the model of two-stage data envelopment analysis has more focused on supply chain processes in two levels; the evaluation in higher levels has been essential to obtain more accurate efficiency. This paper extends Wang & Chin (2010) model into three levels for evaluation the supply chain to show the importance of integration in the overall supply chain. The model is considered the extended two-stage DEA model of Koa and Hwang(2008) to variable returns to scale (VRS) assumption and the additive efficiency decomposition model of Chen (2009) generalized to take into account the relative importance weights of two individual stages. The presented model is executed in numerical illustration and the results are analyzed in tables. Manuscript profile
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  90 - Evaluation of Performance of Personnel Units of Management in Mellat Bank with a Combined Approach of Window analysis Models and Malmquist Index
  Ezatolah Asgharizadeh Masoud Keimasi Elnaz Borji
  The purpose of this paper is to evaluate the performance of personnel units of five regions of Tehran Bank Mellat and investigating their productivity and efficiency by taking advantage of data envelopment analysis (DEA) efficiency as well as using Malmquist index. The More

  The purpose of this paper is to evaluate the performance of personnel units of five regions of Tehran Bank Mellat and investigating their productivity and efficiency by taking advantage of data envelopment analysis (DEA) efficiency as well as using Malmquist index. The study period is 2011-2015.In this study, we track the performance of every decision-making unit over time and to analyze the changes in efficiency and productivity as well as separation of efficiency over time and into two major components: technological developments and changes in efficiency by Malmquist Index and window analysis. The results show that human resources departments of regions 4 and 5, respectively, with 93% and 97% technical efficiency scores are in the first place, and the offices of regions 4 and 5 with the mean efficiency of about 95% have appropriate efficiency. Moreover, human resources departments of all regions with the average efficiency of over 95% are favorable. Based on Malmquist Index values among the regions, Region 3 (1.023) has had efficiency improve in during the study period, and evaluating total efficiency changes show that year 2012 (1.033) has had the greatest growth in productivity.  Manuscript profile
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  91 - Assessment of Component’s Efficiency with MCDEA
  Seyed Esmail Najafi Elham Shafaghi Faigh Zaheri
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  92 - Assessing the Performance of the Organization Using the Combined Approach of Fuzzy Data Envelopment Analysis and Balanced Scorecard (Case study: Tejarat Bank Branches of Yazd Province)
  Seyed Habibollah Mirghafoori Ali Morovati Vahid Namavaran Fatemeh Zamani
  In today’s competitive environment in manufacturing and services process, the organizations are confronted with the need to have indicators and patterns for assessing the performance. The balanced scorecard is a successful instrument in implementing the strategic More

  In today’s competitive environment in manufacturing and services process, the organizations are confronted with the need to have indicators and patterns for assessing the performance. The balanced scorecard is a successful instrument in implementing the strategic plans of the organization. The present paper aims to evaluate the performance and rank the branches of Tejarat bank in Yazd province based on their efficiency. The balanced scorecard is an appropriate device for designing and measuring the performance in terms of four perspectives including financial, customer, internal process and growth and innovation. This study also intends to use a combining model of BSC and fuzzy data envelopment analysis to evaluate the performance of the branches. This is a descriptive study using field study along with the library, observation and sometimes interview to gather the required information. The findings reveal that among the twenty-six examined branches, 11 branches are efficient. Additionally, the cross efficiency ranking has been used to rank the branches. Finally, the sensitivity analyses demonstrate that ATM has the highest impact on the efficiency of the units followed by the position and the number of employees. On the other hand, the total bank deposits have the least impact on the efficiency of the banks. Manuscript profile
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  93 - Evaluation of Management Efficiency in Cement Industry of Iran Using Data Envelopment Analysis Technique
  Akbar Valizadeh Oghani Nasser Fegh-hi Farahmand Farzin Modarres Khiabani
  The management ability affects activities such as R & D, cost, financial costs, assets and firm's income. Their efficiency also depends on these factors. The purpose of this study is to measure the ability of management in the cement industry with a new pattern has More

  The management ability affects activities such as R & D, cost, financial costs, assets and firm's income. Their efficiency also depends on these factors. The purpose of this study is to measure the ability of management in the cement industry with a new pattern has been member of the Iranian stock exchange. To do this, data from financial statements of companies at 2012 to 2016 years were used. First, by implementing a suitable model and regional Data Envelopment Analysis model, Relative efficiency for each of the companies is calculated and efficient units also have been ranking with Anderson-Peterson method. Then estimate a regression model, the index is calculated to management ability each of the firms. For evaluating the relative efficiency optimization software GAMS and to determine the ability of management software E-Views is used. We aim to achieve non-inherent ability of managers in units. The results of the research show that the efficiency or Inefficiency of the companies can be related to the inherent and acquired ability of managers. The results indicate that companies that have been evaluated with a score efficiently (For example; Iran Chalk Co. & Ardabil Cement Co.), not simply guarantee for high ability of their managers. While, some companies have been efficiently evaluated the ability of their managers is also high. For example; Khuzestan Cement Co. & Mazandaran Cement Co.  Manuscript profile
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  94 - ارزیابی عملکرد زنجیره تامین صنعت سیمان با استفاده از تحلیل پوششی داده ها
  سیدمحمد سید حسینی محمد حسین درویش متولی
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  95 - ارزیابی کارایی و رتبه بندی مدارس ابتدایی با استفاده از تحلیل پوششی داده ها (DEA)
  فرانک امیدیان محمد امین اجاقی ندا اجاقی
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  96 - ارزیابی کارایی هزینه، درآمد و سود سازمان با استفاده تحلیل پوششی داده ها
  مهدی صالحی صدقیانی سوان سهرائی
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  97 - A hybrid model of network data envelopment analysis and data mining to predict efficiency in the green supply chain of the poultry industry
  Tahereh Torkashvand Fatemeh Saghafi Mohammad Hossein Darvish Motevali nazanin pilevari
  10.22094/jdem.2023.705866
  Analyzing and predicting efficiency in industries is very important in order to evaluate the performance of units and plan to improve their performance. Poultry industry, as one of the strategic and complex industries, has taken an important part of the food chain baske More

  Analyzing and predicting efficiency in industries is very important in order to evaluate the performance of units and plan to improve their performance. Poultry industry, as one of the strategic and complex industries, has taken an important part of the food chain basket of the societies, and from this point of view, the analysis of its supply network is very important.In this research, using the network data coverage analysis model and data mining, research gaps in the field of measuring and predicting the efficiency of the green supply chain in the poultry industry have been covered. This research is descriptive and survey in terms of its practical purpose and in terms of the nature of implementation, which is done by developing mathematical models in the field of data coverage analysis.First, using the Delphi approach, the effective indicators were identified and screened based on the opinion of experts, and then a new mathematical model was presented based on the coverage analysis of network data. In the following, the efficiency of 9 chains was evaluated in five years using the alpha cut method based on the enveloping analysis method of fuzzy data. The results showed that the presented model is able to evaluate the efficiency of the green and multi-level supply chain of the poultry industry in consecutive years. Manuscript profile
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  98 - Combination of DEA and ANP-QUALIFLEX methods to determine the most Efficient Portfolio
  Mozhgan pishdadian Alireza Alinezhad
  The existence of an active and prosperous capital market is always recognized as one of the signs of international development in the countries. The most important issue faced by investors in these markets is the decision to choose the appropriate securities for investm More

  The existence of an active and prosperous capital market is always recognized as one of the signs of international development in the countries. The most important issue faced by investors in these markets is the decision to choose the appropriate securities for investment and formation of optimal portfolio. The rating of companies accepted in stock exchange is a complete mirror of their status and is a measure of investment. This will increase the competitiveness, development and market efficiency. In this research, the top 20 companies listed in Tehran Stock Exchange during the third quarter of 2015 are ranked according to financial ratios. In previous studies, optimal portfolio has been determined using data envelopment analysis models and multi-criteria decision making techniques, but the present study combines these two techniques to evaluate and determine the most efficient portfolio. Accordingly, the performance scores of each model are obtained using one of the data envelopment analysis model and then, the weight of each index is obtained using the network analysis process through multi-criteria decision-making techniques. Manuscript profile
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  99 - Presenting a Bi-objective Method in Location-allocation Problems Using Combinational Interval Full-ranking and Set Covering with Backup Model
  Majede Kordjazi Abolfazl Kazemi
  Covering models have found many applications in a wide variety of real world problems, nevertheless some assumptions of covering models are not realistic enough, that’s why a general approach wouldn’t be able to answer needs of encountering varied aspects of More

  Covering models have found many applications in a wide variety of real world problems, nevertheless some assumptions of covering models are not realistic enough, that’s why a general approach wouldn’t be able to answer needs of encountering varied aspects of real world considerations. Assumptions like unavailability of servers in emergency circumstances, postponing the process of serving customers, inevitable uncertainty in real world and evaluating more factors at the same time, are a sort of assumptions which covering models always face them but they are not able to find any answer to them. Therefore, how to deal with these sorts of assumptions has been reminded a big question. In this research, for facing unavailability, we address Backup covering and for facing uncertainty in input data, we propose Interval Full-ranking model. Furthermore, by combining backup covering and interval full-ranking models (also conceptions), not only we can save time and evaluate more factors like efficiency and cost simultaneously, but also covering considerations in real aspects are reachable. In final, we have solved the proposed model by using precise methods and Genetic revolutionary algorithm in small and large scales, respectively in order to analyze evaluate and compare the results. Results demonstrate appropriate performance of the proposed model despite simultaneous consideration of the mentioned assumptions and none of the assumptions are mutually exclusive. Manuscript profile
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  100 - Performance Evaluation Using Data Envelopment Analysis in Educational Departments
  Nima Hashemi Hashemi Farhad Hosseinzadeh Lotfi Seyed Esmaeil Najafi
  In recent years, mathematical and operation research models are commonly used to assess efficiency and productivity of educational departments of universities and ranking them. Some sets of educational, research, and service activities are then considered as input and o More

  In recent years, mathematical and operation research models are commonly used to assess efficiency and productivity of educational departments of universities and ranking them. Some sets of educational, research, and service activities are then considered as input and output indices of the models. Then, according to the importance and influence of indices on total performance of Decision-making Units (DMU), the efficiency score is defined as the weighted sum of outputs-weighted sum of inputs ratio. In this article, we obtained the efficiency score of 11 educational departments in two cases constant return to scale and variable return to scale using Data Envelopment Analysis (DEA). The results showed that 6 DMUs are efficient and 5 DMUs are inefficient. Manuscript profile
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  101 - Proposing a New model to Predict Performance of Decision Making Units Based on Fuzzy stochastic Data Envelopment Analysis
  Ali Yaghoubi Elham qobadi
  One of the most important tools for calculating the performance of the decision making units (DMUs) is the quantitative and powerful Data Envelopment Analysis (DEA) technique which uses the past inputs and outputs of DMUs. Inability to estimate performance, using of def More

  One of the most important tools for calculating the performance of the decision making units (DMUs) is the quantitative and powerful Data Envelopment Analysis (DEA) technique which uses the past inputs and outputs of DMUs. Inability to estimate performance, using of definite inputs and outputs and inappropriate distribution of weights to inputs and outputs are the weaknesses of DEA. While in the real world, the DMUs are faced with more random parameters. So, this paper presents a new model to predict efficiency of DMUs based on stochastic data envelopment analysis in fuzzy environment, in which by integrating the random effects of environmental factors on inputs and outputs to resolve the problems. Finally, this paper presents a real application of the proposed model in banking industry for predicting the efficiency of branches. The results will be compared with the real efficiencies of branches. The high correlation between predicted and actual results indicates the accuracy of the proposed model. Manuscript profile
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  102 - Development of open and non-homogenous network data envelopment analysis model
  Vahid Ettehadi Hasan Hoseininasab Mohammad Bagher Fakhrzad Hasan Khademizare
  10.30495/qjopm.2021.1925553.3106
  In this paper, data envelopment analysis (DEA) was discussed for non-homogenous mixed network structure where the outputs of each stage can enter the next stage in the same or another layer as inputs or come out from the system as final products. In this model, in addit More

  In this paper, data envelopment analysis (DEA) was discussed for non-homogenous mixed network structure where the outputs of each stage can enter the next stage in the same or another layer as inputs or come out from the system as final products. In this model, in addition to intermediate inputs, each stage can also have independent inputs. For this purpose, a mathematical model has been developed in which the independent inputs and final outputs for the components of the decision making units (DMUs) are examined. To show the efficiency of the model, real data for 20 DMUs were used and the results were compared with those of traditional models. The results obtained from the proposed method eliminate the shortcomings of traditional methods for proper detection of units that are on the efficient border (with an efficiency of one). The developed method can provide the managers and decision makers with a more accurate understanding of the performance of components of DMUs. Manuscript profile
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  103 - An Analytical Study the Effect of Globalization on Labor Market
  Sahand Daneshvar Somayyeh Layazali
  Among the four economy markets, the labor market plays a pivotal role in establishing relations between supply and demand as well as in balancing the mass economic variables like employment. The socio-economic consequences of the balance in labor market are of great imp More

  Among the four economy markets, the labor market plays a pivotal role in establishing relations between supply and demand as well as in balancing the mass economic variables like employment. The socio-economic consequences of the balance in labor market are of great importance for economists and policy makers.  A direct consequence of such balance is the prevention of costs waste resulting from unemployment. Employment is a significant parameter in economic development, income distribution, and human self-esteem. On the contrary, unemployment causes a number of abnormalities with a wide range of economic, social and political aftermaths. Governments also consider unemployment as an important economic phenomenon and try to find solutions for this problem. It is observed that all countries, whether developed or developing, come across unemployment. The population structure of Asian countries and a great number of labor forces and lack of proper facilities have made unemployment the most important socio-economic problem. Globalization tends to influence the labor market structure, and (un)employment. As the developing countries play roles in labor market, they should be considered as an effective variable in the labor market. Manuscript profile
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  104 - Evaluating the Effect of Organizational Culture on Non-Financial Performance through the Mediating Role of Knowledge Utilitization and Application by Using Fuzzy Network Data Envelopment Analysis (FNDEA)
  Mohsen shafenikabadi Amir Salimi
  This paper aims to investigate the relationship between Organizational Culture and Knowledge Utilitization and Application for ranking non-financial performance of Department of Sahand Tire Company. The main purpose of the study is presenting a model for improvement of More

  This paper aims to investigate the relationship between Organizational Culture and Knowledge Utilitization and Application for ranking non-financial performance of Department of Sahand Tire Company. The main purpose of the study is presenting a model for improvement of non-financial performance of the department and studying the effect of organizational culture on non-financial performance with the mediating role of knowledge utilitization and application by using slack-based fuzzy network data envelopment analysis (FNDEA) on the basis of excess of inputs and shortage of outputs. The related data were collected by a questionnaire distributed among 117 personnel from 12 units on the basis of random-classified sampling. The findings showed that the non-financial performance of workshop and manufacturing Process are better than the performance of other units. Also, findings showed that knowledge utilitization and application factor has a significant and positive role in the relationship between organizational culture and non-financial performance. Manuscript profile
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  105 - Computing the Optimal Solution of Technology Selection Model with Fuzzy Data
  Sahand Daneshvar Sahar Khoshfetrat
  This paper introduces a method to find the optimal solution of technology selection model with fuzzy data. The paper suggests a simple computational method to obtain the optimal solution of fuzzy linear programming (LP) problem used in technology selection without the n More

  This paper introduces a method to find the optimal solution of technology selection model with fuzzy data. The paper suggests a simple computational method to obtain the optimal solution of fuzzy linear programming (LP) problem used in technology selection without the need for solving any fuzzy LP. Clearly the contribution of this research is that it reduces the fuzzy computational complexity, which is significant when dealing with more complex computations.   Manuscript profile
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  106 - Evaluation of the Effectiveness of Insurance Branches Using Data Envelopment Analysis (DEA) (Case study: Branches of Insurance Company in the Southern Provinces of Iran)
  Mahmood Dniyali dah hooz Saede Ketabi
  Evaluation of the effectiveness of organizations has always been the concern of researchers. Hence, over the years numerous techniques for doing this have been proposed and used. One of the techniques that is widely used in various research areas and a high proportion o More

  Evaluation of the effectiveness of organizations has always been the concern of researchers. Hence, over the years numerous techniques for doing this have been proposed and used. One of the techniques that is widely used in various research areas and a high proportion of related scientific evaluation is data envelopment analysis (DEA). Besides, the insurance industry as a growing industry in the country has attracted the attention of researchers and administrators. Among the various issues in this area is the problem of performance evaluation and performance indicator. Because of the small amount of performance and its comparison in various branches and units, we can investigate different procedures in increasing the efficiency of the insurance branches and the steps taken to improve it. This study uses data envelopment analysis to measure the efficiency of insurance branches and after recognizing the efficient and inefficient offices by using technical tools, we have introduced the factors that are responsible for inefficiency of ineffective branches and finally we have presented some practical solutions to improve the performance of the insurance units.   Manuscript profile
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  107 - Measuring the Efficiency through Fuzzy Model in Data Envelopment Analysis
  Maryam Balaseyyed Gassir Esmail Alizadeh
  Data envelopment analysis (DEA) is used for measuring the relative efficiency of a group of decision-making units with various inputs in order to create various outputs. In order to discuss the inaccurate data, the fuzzy concept is introduced. In this research, we intro More

  Data envelopment analysis (DEA) is used for measuring the relative efficiency of a group of decision-making units with various inputs in order to create various outputs. In order to discuss the inaccurate data, the fuzzy concept is introduced. In this research, we introduce a model for measuring the rate of efficiency with fuzzy main functions, using trapezoid fuzzy numbers. The main goal is to convert the fuzzy DEA model into absolute and accurate DEA models by applying. A set of parametric problems is formulated to describe a set of absolute DEA models. Manuscript profile
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  108 - Determining Iran’s Status Regarding knowledge-based Economy among the Selected Countries
  Monere Dezaji Sahand Daneshvar Seyed Sina Sharifi
  The present article studies and evaluates the status of Iran and forty selected countries in the field of knowledge-based economy. The research method is to calculate their efficiency through the use of data envelopment analysis. Data envelopment analysis is one of the More

  The present article studies and evaluates the status of Iran and forty selected countries in the field of knowledge-based economy. The research method is to calculate their efficiency through the use of data envelopment analysis. Data envelopment analysis is one of the methods to calculate the efficiency of decision-making units by using linear mathematical programming with multiple inputs and outputs. Accordingly, the efficiency of the selected countries was evaluated based on the input-oriented CCR model and by using the 13 Components of knowledge-based economy, with total labor force, GDP, gross capital formation, total expenditure spent on ICT, and value added services in GDP as the inputs, and high-tech exports, number of researchers in research and development, number of Internet users, fixed line and mobile telephones, labor productivity, and international relations as the outputs. According to the results of the present article, Iran is placed 29 among the selected countries. It seems that by following the policies of the USA and China, Iran can be promoted in this regard Manuscript profile
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  109 - Applying the mathematical expected growth on common investment Funds and assessing pure productivity growth indices based on Malamaqueist productivity index
  Ali Mansory Homa Droody Nargess Saadati
  The favorable investment funds play a suitable role in economic growth and development of a country. Thus, the investment fund has a key role in guiding the capital investment. The study aimed at the performance net growth of investment funds. The research method was ca More

  The favorable investment funds play a suitable role in economic growth and development of a country. Thus, the investment fund has a key role in guiding the capital investment. The study aimed at the performance net growth of investment funds. The research method was casual-comparative. In order to assess the total productivity changes the malamaqeist, s total productivity index in regard to its assessment growth regression was used. According to the previous researches, the beta coefficient of the fund, expenses and net asset value (NAV) at the beginning of each year was selected as input variable, and the average annual return on investment (ROI) from the time of establishment, and the end of the year (NAV) were used as output variable. Accordingly the total malmaqueist,s  productivity index was applied to the 19 common investment funds in 2013 and 2014 respectively. At the same time, mathematical expected growth of investment funds was compared with the status of each investment funds growth (regression) to neutralize the impact of environmental factors and assess the productivity performance growth in relation to each other. The results showed that the first mutual funds of agricultural bank with 314percent growth performance was in the first rank and gained the greatest growth rate and the joint funds of omid-saham with 38 percent regression had the greatest decline. Manuscript profile
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  110 - Evaluation of bank branches Performance by combining two systems "balanced scorecard" and "fuzzy DEA" (Case Study: Tabriz selected branches of Bank Sepah)
  Alireza Bafande Samera Rafie
  In the current era, the amazing changes in the management knowledge necessitate the existence of measurement systems so much so that the absence of a measurement system in the different dimensions of an organization such measurement of the use facilities and resources, More

  In the current era, the amazing changes in the management knowledge necessitate the existence of measurement systems so much so that the absence of a measurement system in the different dimensions of an organization such measurement of the use facilities and resources, personnel, goals and strategies is considered one of the signs of organization illness. There are different techniques for performance measurement, each of which has strong and weak points. In the present paper, a model for measuring the performance of the bank branches by combining “balance score card” with “fuzzy data envelopment analysis”. The statistical population includes all the branches of Sepah Bank of Tabriz totaling 42. The efficiency measurement indices have been specified through the use of balanced scorecard and with regard to the research literature. For data collection, a researcher – devised questionnaire was used after its validity and reliability had been confirmed. Data envelopment analysis was applied for data analysis. The results show that 10 branches out of the 42 around Tabriz are specified as strongly efficient, 27 as efficient, and the remaining 5 branches as inefficient. Manuscript profile
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  111 - ارزیابی کارایی و رتبه بندی مدارس شهرستان فیروزکوه با استفاده از مدل تحلیل پوششی داده ها ( مطالعه موردی مدارس ابتدایی شهرستان فیروزکوه )
  مریم زیاری مهدی فلاح جلودار
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  112 - ارزیابی کارایی شرکت های هواپیمایی با هدف کاهش پتانسیل گرمایش جهانی با روش تحلیل پوششی داده های دومرحله ای استوار با خروجی نامطلوب
  فرهاد سنچولی سیداسماعیل نجفی فرهاد حسین زاده لطفی
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  113 - Ranking method for efficient units by RPA and TOPSIS in DEA
  فرزاد رضائی بالف
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  114 - The Application of Data Envelopment Analysis in Fuzzy Queuing Models
  Najmeh Malekmohammadi
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  115 - نوعی رویکرد برای رتبه DMU های کارا در تحلیل پوششی داده ها بر اساس ترکیبی از نورم بی نهایت و منهتن
  شکرالله زیاری مناف شریف زاده
  در بسیاری از برنامه های کاربردی، تبعیض در میان واحدهای تصمیم گیرنده (DMU) ها یک روش کار فنی مشکل ساز برای تصمیم گیرندگان در تحلیل پوششی داده ها (DEA) است. مدل های DEA قادر به تمایز قائل شدن میان DMU های به شدت کارآمد نمی باشد. از این رو، علاقه رو به رشد در بهبود قدرت تب More

  در بسیاری از برنامه های کاربردی، تبعیض در میان واحدهای تصمیم گیرنده (DMU) ها یک روش کار فنی مشکل ساز برای تصمیم گیرندگان در تحلیل پوششی داده ها (DEA) است. مدل های DEA قادر به تمایز قائل شدن میان DMU های به شدت کارآمد نمی باشد. از این رو، علاقه رو به رشد در بهبود قدرت تبعیض در  DEA هنوز وجود دارد. هدف از این مقاله رتبه بندی DMU های بسیار کارآ در تحلیل پوششی داده ها ها بر اساس بهره برداری از  یک ایده و ترکیب منهتن و نورم بی نهایت با بازده به مقیاس ثابت و متغیر است. روش پیشنهادی در برخی از روش های رتبه بندی قادر به غلبه بر مشکلات موجود است. Manuscript profile
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  116 - مقایسـه کارایـی شـرکتهای انتقـال نیـرو در صنعـت برق ایـران با اسـتفاده از روشهای مرسـوم و تحلیل پوششـی دادههای شـبکه ای
  کامبیز شاهرودی محمد رضا خسروی
  ایـن مطالعـه یـک مطالعـه کاربردی اسـت که بـه منظور بررسـی و مقایسـه کارایی شـرکتهای برق منطقهای ایران با اسـتفاده از روشهای تحلیل پوششـی دادههای مرسـوم و شـبکیه انجام شـده اسـت. شـرکتهای بـرق منطقـهای ایـران از فرایند دو مرحلـهای بـرای انتقـال نیـرو اسـتفاده میکنند. با More

  ایـن مطالعـه یـک مطالعـه کاربردی اسـت که بـه منظور بررسـی و مقایسـه کارایی شـرکتهای برق منطقهای ایران با اسـتفاده از روشهای تحلیل پوششـی دادههای مرسـوم و شـبکیه انجام شـده اسـت. شـرکتهای بـرق منطقـهای ایـران از فرایند دو مرحلـهای بـرای انتقـال نیـرو اسـتفاده میکنند. با اسـتفاده از رویکـرد کاربردی، عملکـرد و کارایـی ایـن شـرکتها بـا روشهـای شـبکهای و مرسـوم اندازهگیری شـد و با یکدیگر مقایسـه شـد. (BCC ورودی-محور). مشـخص شـد که مدلهای شـبکه در مقایسـه بـا روشهـای دیگـر از آنجـا کـه تصویـر واضـح از کارایـی شـرکتهای بـرق منطقـهای را فراهـم میکنـد ،گسـتردهتر هسـتند. نتایـج آزمـون ویلکاکسـون نشـان میدهـد کـه بیـن نمـرات کارآیی شـرکتهای بـرق منطقهای ایـران بـا اسـتفاده ازروش BCC و روشهای شـبکه تفـاوت معناداری وجـود دارد و بررسـی کیفیـت تفـاوت نمـرات نیـز نشـان میدهد کـه کارایـی شـرکتها در مدل شـبکه پایینتـر از نمـرات کارایـی مدل BCC اسـت. به طور کلی، مدلهای شـبکه دارای کاربـرد بالاتـری نسـبت بـه ارائـه یـک تصویر واضـح از کارایی شـرکتهای بـرق منطقـهای و مقایسـه دقیقتر آنها هسـتند.  Manuscript profile
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  117 - تحلیـل پوششـی دادههـا از شبیهسـازی بـر روی شـبکه QCD بـا اسـتفاده از مـدل CCR
  محمد حسین درویش متولی
  یکـی از اصـول بسـیار جـدی در تیـوری تولیـد اقتصادی اصـل «بهرهوری» اسـت. بـه عبـارت سـاده، کارایـی را میتـوان بـه عنـوان تقاضـا کـه به اهـداف مـورد نظر (خروجـی) بـا حداقـل اسـتفاده از منابـع موجود به دسـت آورد تعریف کـرد (ورودی). بـه منظور، تشـخیص کارایی نسـب More

  یکـی از اصـول بسـیار جـدی در تیـوری تولیـد اقتصادی اصـل «بهرهوری» اسـت. بـه عبـارت سـاده، کارایـی را میتـوان بـه عنـوان تقاضـا کـه به اهـداف مـورد نظر (خروجـی) بـا حداقـل اسـتفاده از منابـع موجود به دسـت آورد تعریف کـرد (ورودی). بـه منظور، تشـخیص کارایی نسـبی واحدهای سـازمانی با چنـد ورودی جهت تولید خروجیهـای متعـدد، روش «تحلیل پوششـی دادهها» (DEA) توسـط چارنز، کوپر و رودز معرفـی شـد. در واقـع، تحلیـل پوششـی دادههـا برنامهنویسـی ریاضی خطی کـه بـه محاسـبه کارایی یـک سـازمان در یک گـروه در رابطـه با مشـاهده بهترین عمـل در آن گـروه اسـت. بر خـلاف تجزیه و تحلیل آمـاری رایج کـه در زمینه های مرکـزی مسـتقراند؛ آن یـک روش جهـت دار در مرز اسـت. اخیرا یکـی از زمینه های مـورد علاقـه در تحقیـق در عملیـات شـده اسـت. تاریخچه انگیـزهای بـرای ما در ایـن مقالـه بـود، از طریق اجـرای مـدل CCR در نرم افـزار حل کننـده DEA. تحلیـل پوششـی داده هـا حاضـر شبیه سـازی در شـبکه QCD  با وسـعت زمانی به ترتیـب Nt=4,6. تعجـب آور ایـنکـه نتایـج بـرای هـر دو مـورد بـه دسـت آمده، ایـن حقیقـت را کـه مجموعـه دادههـای کارآمـد متعلـق بـه مناطق درجـه حرارت بـالا را نشـان میدهـد. توجـه داشـته باشـید کـه اطلاعـات به دسـت آمده در دمـای بحرانـی کارآمـد می باشـد.همانطـور کـه از شـبکه QCD عملـی انتظـار میرود، مـدل DEA-CCR ارائـه شـده در ایـن مقاله نیز ایـن واقعیت را تاییـد میکند که بهتریـن مجموعـه داده ناشـی از شبیه سـازی در حـد پیوسـته 0→ a. در واقـع، بـا در نظـر گرفتـن محـدوده ناپدید شـدن فاصله شـبکه، کارایـی الگوریتـم را میتوان بیشـتر کرد. Manuscript profile
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  118 - انتخاب وزن ها برای یک رتبه بندی کامل واحدهای تصمیم گیرنده در تحلیل پوششی داده ها و ارزیابی متقاطع
  پریچهر زمانی
  تحلیل پوششی داده های (DEA) مرسوم به تصمیم گیرنده‌ها (DM) کمک می‌کند تا یک گروه همگن از واحدهای تصمیم‌گیرنده‌ی (DMU) کارا و ناکارا را مشخص نمایند. به هرحال، تحلیل پوششی داده‌ها اطلاعات زیادی در مورد واحدهای تصمیم‌گیرنده کارا نمی‌دهد. یکی از موضوعات جالب تحقیق، تفاوت قایل More

  تحلیل پوششی داده های (DEA) مرسوم به تصمیم گیرنده‌ها (DM) کمک می‌کند تا یک گروه همگن از واحدهای تصمیم‌گیرنده‌ی (DMU) کارا و ناکارا را مشخص نمایند. به هرحال، تحلیل پوششی داده‌ها اطلاعات زیادی در مورد واحدهای تصمیم‌گیرنده کارا نمی‌دهد. یکی از موضوعات جالب تحقیق، تفاوت قایل شدن بین واحدهای تصمیم‌گیرنده کارا است. هدف این مقاله رتبه بندی همه‌ی واحدهای تصمیم گیرنده کارا (رأسی و غیر رأسی) مبنی بر تعریف اندیس جدیدی است که از تعاریف اساسی مدل ها بدست آمده است. روش مطرح شده توانایی حذف کاستی های موجود در بعضی از روشهای رتبه بندی را دارد و به همین دلیل سهم جدیدی در مبحث رتبه بندی تحلیل پوششی داده ها را داراست. Manuscript profile
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  119 - شاخص بهره وری مالم کوئیست با استفاده از مدل تحلیل پوششی داده های دو مرحله ای در بیمارستانهای قلب
  علی رضا علینژاد میرپویا میرمظفری
  بیماران قلبی علائم متعددی را نشان می دهند و اشاره به آنها دشوار است. تحلیل پوشش داده ها ((DEA یک درجه کارایی مقایسه ای برای هر واحد تصمیم گیری  (DMU) با چند ورودی و خروجی فراهم می کند. ارزیابی بیمارستان ها یکی از برنامه های کاربردی عمده در DEA است. در این مطالعه، م More

  بیماران قلبی علائم متعددی را نشان می دهند و اشاره به آنها دشوار است. تحلیل پوشش داده ها ((DEA یک درجه کارایی مقایسه ای برای هر واحد تصمیم گیری  (DMU) با چند ورودی و خروجی فراهم می کند. ارزیابی بیمارستان ها یکی از برنامه های کاربردی عمده در DEA است. در این مطالعه، مقایسه مدل جمعی با شاخص بهره وری مالم کوئیست (MPI) ورودی محور و خروجی مورد استفاده قرار گرفته است. MPI برای اندازه گیری رشد بهره وری نسبت به تکنولوژی مرجع محاسبه شده است. در محاسبه رشد MPI دو موضوع اصلی مطرح می شود. چه چیزی به طور کلی به عنوان اثر پیشروی و یا تغییر کارایی فنی (TEC) و اثر "تغییر مرز" یا تغییرات تکنولوژیکی (TC) اشاره می شود. داده ها شامل یک دوره شش ساله از سال 2011 تا 2016 برای 15 بیمارستان قلب محلی است. دو ورودی، یک عامل میانی  و دو خروجی در مدل دو مرحلهای انتخاب شده و این عوامل نشان دهنده عملکرد اصلی بیمارستانها است. تبدیل مدل دو مرحله ای به مدل تک مرحله ای معرفی شده است.این مدل برای اصلاح کارایی یک فرآیند دو مرحله ای وجلوگیری از وابستگی به وزنهای مختلف پیشنهادشده است. در نهایت، نتایج نشان داد که میانگین هندسی MPI در کارایی فنی خالص ورودی محور  در بیمارستان دهم (2.1517) به عنوان بالاترین  عملکرد بیمارستان  با بالاترین میزان  رشد بهره وری معرفی شده است. Manuscript profile
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  120 - ارزیابی علمکرد شعبات بانک با استفاده از روش dea و رگرسیون tobit: مورد مطالعاتی شعبات بانک کشاورزی استان گیلان
  حمیدرضا علیپور غلامرضا محفوظی محسن شفیعیان شیوا رضاییان
  در این مطالعه سعی کردیم تا با استفاده از روش تحلیل پوششی داده ها (DEA) به بررسی میزان کارایی‌های فنی، فنی خالص و مقیاس در 12 شعبه‌ی (شعبات سرپرستی) بانک‌ کشاورزی در استان گیلان در دورة زمانی 2012 تا 2016 بپردازیم. نتایج اولیه حکایت از آن دارد که که در دورة موردمطالعه، س More

  در این مطالعه سعی کردیم تا با استفاده از روش تحلیل پوششی داده ها (DEA) به بررسی میزان کارایی‌های فنی، فنی خالص و مقیاس در 12 شعبه‌ی (شعبات سرپرستی) بانک‌ کشاورزی در استان گیلان در دورة زمانی 2012 تا 2016 بپردازیم. نتایج اولیه حکایت از آن دارد که که در دورة موردمطالعه، سهم عدم‌کارایی مقیاس در عدم‌کارایی فنی کل بیش از عدم‌کارایی فنی خالص بود. نتایج مربوط به بازدهی به مقیاس حاکی از آن است که بازدهی کاهشی نسبت به مقیاس مهمترین شکل عدم‌کارایی مقیاس است. در ادامه رگرسیون مقادیر کارایی فنی کل حاصل از روش DEA ، نسبت به چهار عامل مؤثر بر کارایی بانک (شامل اندازة بانک، سودآوری ، کفایت سرمایه و نقدینگی ) توسط روش Tobit تحلیل شد. چهار متغیر موردبررسی تأثیرات متفاوتی بر کارایی داشتند. اندازة شعب ارتباط غیرمعنی‌دار و منفی با کارایی فنی دارد و بنابراین، تأثیری بر کارایی ندارد. سودآوری مهمترین پارامتر در کارایی شعب بود و بعد از آن، نقدینگی شعب در مقام بعدی قرار داشت. سودآوری و نقدینگی شعب تأثیرات مثبت معنی‌دار بر کارایی دارند. به عبارت دیگر، شعبات بزرگتر و سودآورتر کارایی فنی بالاتری دارند Manuscript profile
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  121 - کاربرد تکنیک های ابر کارایی در اندازه گیری کارایی شعب بانک (مورد مطالعه:بانک ملی استان گیلان )
  میترا صفری منصور صوفی مهدی همایونفر
  در دنیای رقابتی امروز، بسیاری از شرکتهای تولیدی و خدماتی از جمله بانک ها، ناگزیر شده اند به رویکردهای جدید مدیریتی و روش های ارزیابی عملکرد سازمانی رو بیاورند. از جمله این رویکردها، رویکرد تحلیل پوششی داده ها (DEA) است که از سال 1978 در ارزیابی عملکرد سازمان‌ها مورد است More

  در دنیای رقابتی امروز، بسیاری از شرکتهای تولیدی و خدماتی از جمله بانک ها، ناگزیر شده اند به رویکردهای جدید مدیریتی و روش های ارزیابی عملکرد سازمانی رو بیاورند. از جمله این رویکردها، رویکرد تحلیل پوششی داده ها (DEA) است که از سال 1978 در ارزیابی عملکرد سازمان‌ها مورد استفاده قرار گرفته است. هدف این تحقیق، کاربرد تکنیک های ابر کارایی در اندازه گیری کارایی شعب بانک (مورد مطالعه:بانک ملی استان گیلان) می باشد. در این پژوهش از مدل ورودی محور تحلیل پوششی داده ها در فرم تحت بازده به مقیاس ثابت  و مدی ابرکارایی اندرسون – پیرسون (AP) برای اندازه گیری کارایی شعب درجه 1،2و3  بانک ملی استان گیلان در سال 1394 پرداخته شده است به طور خلاصه نتایج نشان داد که میانگین امتیاز کارایی شعب مورد بررسی در سال 1394 ،0.75 می باشد، شعبه ی درجه یک گلسار رشت به عنوان کاراترین مورد بررسی و بندر کیاشهر به دلیل احتساب امتیاز کارایی 0.8 و پاییین تر از میانگین کل شعب به عنوان ناکاراترین شعبه معرفی شد. نتایج نشان داد  که  مهم‌ترین عامل در ضعف مدیریت هزینه‌ی شعب ناکارا مربوط به هزینه تبلیغات و بازاریابی و بیشترین ضعف در برنامه ریزی مربوط به  حوزه ی  آموزش کارکنان شعب ناکارا بوده است. Manuscript profile
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  122 - یک اندازه ورودی محور شعاعی برای بازده به مقیاس تجمعی
  رضا کاظمی متین رزا عزیز مهدی میرجابری
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  123 - تخمین ورودیها و خروجیها در تحلیل پوششی داده های معکوس
  سعید قبادی
  در این مطالعه سوال زیر مد نظر قرار گرفته است: در میان یک دسته از واحد های تصمیم گیرنده، اگر تصمیم گیرنده ملزم به افزایش ورودیها و خروجیهای یک واحد خاص باشد بطوریکه سطح کارایی آن بخواهد حفظ یا بهبود یابد، چگونه ورودی و خروجی این واحد می بابیستی افزایش یابد؟این سوال به عن More

  در این مطالعه سوال زیر مد نظر قرار گرفته است: در میان یک دسته از واحد های تصمیم گیرنده، اگر تصمیم گیرنده ملزم به افزایش ورودیها و خروجیهای یک واحد خاص باشد بطوریکه سطح کارایی آن بخواهد حفظ یا بهبود یابد، چگونه ورودی و خروجی این واحد می بابیستی افزایش یابد؟این سوال به عنوان یک مسئله در تحلیل پوششی داده های معکوس لحاظ شده و روشی برای حل آن معرفی شده است. شرایط لازم و کافی برای تخمین ورودیها و خروجیها بر اساس جوابهای پارتو(ضعیف) از مسائل برنامه ریزی خطی چند هدفی تبیین شده است. با در نظر گرفتن دادههای واقعی (برای انتخاب یک استراتژی مناسب برای گسترش گروه های آموزشی در دانشگاه ) یک کاربرد از تحلیل پوششی دادههای معکوس ارائه گردیده است. علاوه براین، دو مفهوم جدید بهینگی" نیمه پاراتو و نیمه پاراتو ضعیف" برای مسائل برنامه ریزی چند هدفی معرفی شده است. این مفاهیم برای پاسخ به سوال فوق استفاده شده است. Manuscript profile
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  124 - انتخاب تامین کننده در زنجیره تامین پایدار: کاربرد فرایند تحلیل سلسله مراتبی و تحلیل پوششی داده های فازی
  حمیدرضا رضایی محمد طالقانی محسن شفیعیان تارا نیک اندام
  توسعه و مدیریت یک زنجیره تأمین موثر و کارآمد شامل انتخاب تامین کنندگان است. تنها معیارهای اقتصادی، از جمله هزینه و تحویل، در یک فرایند انتخاب تامین کننده مورد توجه قرار گرفت. اما، به دلیل شرایط به سرعت در حال تغییر، آنها برای ارزیابی تامین کنندگان کافی نیستند و مورد نیا More

  توسعه و مدیریت یک زنجیره تأمین موثر و کارآمد شامل انتخاب تامین کنندگان است. تنها معیارهای اقتصادی، از جمله هزینه و تحویل، در یک فرایند انتخاب تامین کننده مورد توجه قرار گرفت. اما، به دلیل شرایط به سرعت در حال تغییر، آنها برای ارزیابی تامین کنندگان کافی نیستند و مورد نیاز است دیدگاه های مختلف در نظر گرفته شوند. هدف مقاله حاضر ارائه روش ترکیبی بر مبنای تجزیه و تحلیل پوششی داده های فازی برای انتخاب تامین کنندگان پایدار است. در ابتدا، معیارهای انتخاب تامین کنندگان پایدار از ادبیات مربوطه حاصل می شود. سپس سلسله مراتب معیارها و تعاملات ترجیحی آنها با فرآیند تحلیل سلسله مراتبی مشخص می شود. در نهایت، عملکرد تامین کنندگان با استفاده از تجزیه و تحلیل پوشش داده های فازی ارزیابی می شود. مدل DEA ارائه شده از مفهوم واحدهای تصمیم گیری ایده آل و غیر ایده آل  (DMU) در ارزیابی کارایی متقاطع الهام گرفته شده است. با توجه به این مفهوم، DMU کارآمد است اگر آن نزدیک به عملکرد DMU ایده آل  و به دور از عملکرد DMU ضد ایده آل است. Manuscript profile
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  125 - یک مدل شبکه عصبی بازگشتی برای حل مدل CCR در تحلیل پوششی داده ها
  معصومه عباسی عباس قماشی
  در این مقاله ما یک شبکه عصبی برای حل مدل CCR در تحلیل پوششی داده ها (DEA) معرفی می کنیم. مدل شبکه عصبی پیشنهادی از یک مسئله مینیمم سازی نامقید حاصل می شود. از دیدگاه تئوری، نشان داده می شود که شبکه عصبی پیشنهادی به مفهوم لیاپانف پایدار و همگرای عمومی به جواب بهینه مدل C More

  در این مقاله ما یک شبکه عصبی برای حل مدل CCR در تحلیل پوششی داده ها (DEA) معرفی می کنیم. مدل شبکه عصبی پیشنهادی از یک مسئله مینیمم سازی نامقید حاصل می شود. از دیدگاه تئوری، نشان داده می شود که شبکه عصبی پیشنهادی به مفهوم لیاپانف پایدار و همگرای عمومی به جواب بهینه مدل CCR می باشد. مدل پیشنهادی ساختار تک لایه دارد. با یک مثال عددی موثر بودن مدل پیشنهادی برای حل مدل CCR در DEA نشان داده می شود. Manuscript profile
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  126 - ادغام واحدهای تصمیم گیرنده بر پایه مفهوم تحلیل پوششی داد های معکوس
  الهه زین الدین سعید قبادی
  در این مقاله، ما یک روش جدید برای پاسخ سوال زیر بر اساس برنامه ریزی ریاضی چند هدفی ارائه می نماییم: اگر در میان یک مجموعه از واحد های تصمیم گیرنده زیر مجموعه ایی از آنها ملزم به ادغام و تشکیل یک واحد جدید با ورودی (خروجی) خاص و سطح کارایی از پیش مشخص شده ایی باشند آنگاه More

  در این مقاله، ما یک روش جدید برای پاسخ سوال زیر بر اساس برنامه ریزی ریاضی چند هدفی ارائه می نماییم: اگر در میان یک مجموعه از واحد های تصمیم گیرنده زیر مجموعه ایی از آنها ملزم به ادغام و تشکیل یک واحد جدید با ورودی (خروجی) خاص و سطح کارایی از پیش مشخص شده ایی باشند آنگاه میزان خروجی ( ورودی) این واحد ادغامی به چه میزانی بایستی باشد. این سوال بر اساس مفهوم تحلیل پوششی داده های معکوس پاسخ داده شده است. شرایط کافی برای تخمین ورودی (خروجی) از واحد ادغامی بوسیله برنامه ریزی چند هدفی تاسیس شده است. یک مثال عددی با داده های واقعی برای گویایی اهداف این مقاله آورده شده است. Manuscript profile
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  127 - تجزیه و تحلیل شیوع بیماری COVID-19 در کشورهای اروپایی
  هادی شیرویه زاد جاوید جوزدانی مزدک خدادادی کریموند
  بیماری همه گیر COVID-19 بسیاری از مردم جهان را تحت تأثیر قرار داده است. اروپا به عنوان یکی از جدی ترین قاره ها، چندین ماه است که با ویروس کرونای جدید دست و پنجه نرم می کند. بدیهی است، مدیریت پاسخ به شیوع بیماری نقش اساسی در تأثیر بیماری دارد. بنابراین، در این مقاله از ش More

  بیماری همه گیر COVID-19 بسیاری از مردم جهان را تحت تأثیر قرار داده است. اروپا به عنوان یکی از جدی ترین قاره ها، چندین ماه است که با ویروس کرونای جدید دست و پنجه نرم می کند. بدیهی است، مدیریت پاسخ به شیوع بیماری نقش اساسی در تأثیر بیماری دارد. بنابراین، در این مقاله از شاخص بهره‌وری Malmquist برای ارزیابی عملکرد کشورهای کشورهای اروپایی به شدت درگیر با بیماری براساس میانگین نرخ شیوع استفاده شده است. این نتایج کشورها را رده بندی می کند و بینش آینده را نشان می دهد. Manuscript profile
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  128 - مروری بر الگوریتم های فراابتکاری و تحلیل پوششی داده ها
  Mohsen Vaez-ghasemi Zohreh Moghaddas Hamid Askari Feloora Valizadeh
  امروزه بسیاری از فعالیتها از کسب و کار گرفته تا طراحیهای مهندسی، مسیریابی در اینترنت و حتی مسیریابی کامیونهای حمل مواد غذایی و غیره نیازمند برنامه ریزی و بهینه سازی هستند. تعداد زیادی از این مسائل راه حل قطعی نداشته و یا به راحتی قابل حل نیستند و برای حلشان الگوریتمهایی More

  امروزه بسیاری از فعالیتها از کسب و کار گرفته تا طراحیهای مهندسی، مسیریابی در اینترنت و حتی مسیریابی کامیونهای حمل مواد غذایی و غیره نیازمند برنامه ریزی و بهینه سازی هستند. تعداد زیادی از این مسائل راه حل قطعی نداشته و یا به راحتی قابل حل نیستند و برای حلشان الگوریتمهایی با الهام از طبیعت و بر مبنای هوش ذرات، سیستمهای زیستی، فیزیکی، شیمیایی وحتی جوامع انسانی توسعه داده میشوند که نامگذاری بسیاری از آنها نیز بر اساس منبع الهام گیری اولیه است؛ یک الگوریتم بهینه سازی فراابتکاری یک روش ابتکاری است که میتواند باتغییرهایی کم برای مسائل مخلتف بهینه سازی به کاررود الگوریتم های فراابتکاری بطور قابل ملاحظه ای توانایی یافتن جوابهای با کیفیت بالا را برای مسائل بهینه سازی سخت افزایش میدهد . در این مقاله به بررسی و مرور کاربرد انواع الگوریتم های فراابتکاری و تحلیل پوششی داده ها در مسائل بهینه سازی موجود در مجموعه مقالات منتشر شده در چند سال گذشته پرداخته شده است. آنچه که در این مقاله آمده است توضیحاتی درباره کاربرد انواع الگوریتم های فراابتکاری در تحلیل پوششی داده ها ،بیان کاربرد و حوزه فعالیتشان و همپوشانی و استفاده تلفیقی از این دو روش قدرتمند برای دستیابی به جواب بهینه است Manuscript profile
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  129 - ارزیابی کارایی مالی در یک شبکه با تحلیل پوششی داده ها
  Zohreh Moghaddas
  ارزیابی کارایی مالی در یک سیستم شبکه با توجه به محصولات متوسط، امروزه اهمیت زیادی برای مدیران دارد. در فرایند انجام تجزیه و تحلیل کسب و کار، هر مرحله از یک شبکه اهمیت خاصی دارد.در این مقاله، با کمک تجزیه و تحلیل پوشش داده (DEA)، عملکرد یک شبکه با بازخورد مورد توجه قرار More

  ارزیابی کارایی مالی در یک سیستم شبکه با توجه به محصولات متوسط، امروزه اهمیت زیادی برای مدیران دارد. در فرایند انجام تجزیه و تحلیل کسب و کار، هر مرحله از یک شبکه اهمیت خاصی دارد.در این مقاله، با کمک تجزیه و تحلیل پوشش داده (DEA)، عملکرد یک شبکه با بازخورد مورد توجه قرار می گیرد. در این ارزیابی، بهره وری مالی برای شبکه ای با ورودی ها، خروجی ها، واسطه ها مورد ارزیابی قرار می گیرد. به عنوان مثال، استفاده از داده ها از شرکت های پتروشیمی به منظور ارزیابی و تجزیه و تحلیل کارایی در یک زنجیره عرضه در نظر گرفته می شود. Manuscript profile
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  130 - چگونه می توان شاخص های کارت امتیازی متوازن را در یک مدل تلفیقی DEA-BSC هدف گذاری کرد
  محمد فلاح اسماعیل نجفی
  اندازه گیری عملکرد همیشه یکی از مهمترین وظایف مدیران است ، بنابراین مدیریت دانش دانش سنجش است و اگر بتوانیم چیزی را اندازه بگیریم ، بدون شک می توانیم آن را کنترل کنیم ، و بنابراین نمی توانیم آن را مدیریت کنیم. در این مقاله ، با توجه به شاخص بهره‌وری Malmquist ، از یک شا More

  اندازه گیری عملکرد همیشه یکی از مهمترین وظایف مدیران است ، بنابراین مدیریت دانش دانش سنجش است و اگر بتوانیم چیزی را اندازه بگیریم ، بدون شک می توانیم آن را کنترل کنیم ، و بنابراین نمی توانیم آن را مدیریت کنیم. در این مقاله ، با توجه به شاخص بهره‌وری Malmquist ، از یک شاخص برای تعیین پیشرفت و رگرسیون یک واحد استفاده شده است. این شاخص توسط تغییرات مرزی حاصل از ورودی واحدها و تغییرات کارایی آنها تعریف می شود ، که ما آن را شاخص بهره وری Malmquist می نامیم. بعد از محاسبه تغییرات مالموکیست ، ما توانستیم برای دوره بعدی میزان افزایش یا کاهش شاخص ها را مشخص کنیم. Manuscript profile
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  131 - ارزیابی کارایی ایستگاه های حمل و نقل ریلی با استفاده از رویکرد DEA
  Davoud Haghighi رضا بابازاده
  نقش ایستگاه های حمل و نقل ریلی به عنوان نقاطی که در آن می توان فرآیندهای ترافیکی را با هم ادغام و از هم جدا کرد از اهمیت ویژه ای برخوردار است. فعالیتهای متعددی مانند تشکیل قطار ، کاهش و تعویض ، بررسیهای فنی نیز در این نقاط انجام می شود. با توجه به اهمیت بسیار زیاد استفا More

  نقش ایستگاه های حمل و نقل ریلی به عنوان نقاطی که در آن می توان فرآیندهای ترافیکی را با هم ادغام و از هم جدا کرد از اهمیت ویژه ای برخوردار است. فعالیتهای متعددی مانند تشکیل قطار ، کاهش و تعویض ، بررسیهای فنی نیز در این نقاط انجام می شود. با توجه به اهمیت بسیار زیاد استفاده بهینه از زیرساخت های راه آهن و تسهیلات موجودی انبار ، مطالعات کارآیی در این زمینه بیش از هر زمان دیگر یک وظیفه اصلی تلقی می شود. بنابراین ، ما یک روش مبتنی بر تجزیه و تحلیل پوشش داده ها را برای حل این مسئله پیاده سازی می کنیم. از روش پیشنهادی در این تحقیق می توان برای اندازه گیری کارایی ایستگاه های حمل و نقل ریلی و رتبه بندی آنها با استفاده از روش های DEA و Anderson & Peterson استفاده کرد. این روش می تواند برای تجزیه و تحلیل "کارایی فنی" ایستگاه های حمل و نقل ریلی برای مدیریت ایستگاه های قطار با توجه به ظرفیت ایستگاه فعلی استفاده شود. ما این مدل را در یک مطالعه موردی از 12 ایستگاه قطار پرتردد در راه آهن اصفهان برای اندازه گیری و رتبه بندی کارایی آنها و ارزیابی تأثیر نوع ترافیک بر نتایج با استفاده از رگرسیون قوی استفاده کردیم. Manuscript profile
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  132 - ارزیابی کارایی واحدهای تصمیم گیری در حضور فاکتورهای منفی و نامطلوب
  مهناز مقبولی مهدی عینی فرهاد طاهر
  تحلیل پوششی داده ها (DEA) یک تکنیک برای ارزیابی واحدهای تصمیم گیری(DMUs) با چندین ورودی و خروجی است. اما یکی از نقص‌های مدل‌های کلاسیک DEAاین است که در همه‌ی آن‌ها فرض نامنفی و مطلوب بودن برای فاکتورها در نظر گرفته می شود، در حالی که در مسائل واقعی ورودی‌ها و خروجی‌های More

  تحلیل پوششی داده ها (DEA) یک تکنیک برای ارزیابی واحدهای تصمیم گیری(DMUs) با چندین ورودی و خروجی است. اما یکی از نقص‌های مدل‌های کلاسیک DEAاین است که در همه‌ی آن‌ها فرض نامنفی و مطلوب بودن برای فاکتورها در نظر گرفته می شود، در حالی که در مسائل واقعی ورودی‌ها و خروجی‌های منفی و نامطلوب نیز وجود دارد. لذا مدل‌های استاندارد DEA، اندازه ی کارایی DMUs را به درستی منعکس نمی کنند. در این مقاله با ارائه مدلی کارایی واحدها در حضور فاکتورهای منفی و نامطلوب مورد ارزیابی قرار می گیرد که با یک مثال کاربردی روش پیشنهادی مورد بحث و بررسی قرار می‌گیرد. Manuscript profile
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  133 - پیاده‌سازی DEA فازی درون مدل PEM جهت ارزیابی عملکرد سازمان‌های پروژه‌محور: یک مطالعۀ موردی
  اویس ترابی محمّدمیلاد احمدی روح‌الله تولایی
  سازمان های پروژه محور در صنایع بالادستی سهم زیادی از منابع ملی را در اختیار دارند و نقش مهمی در توسعه یک کشور ایفا می کنند. ارزیابی عملکرد سازمان های پروژه محور می تواند به مدیران کمک کند تا از ورودی ها به طور موثر استفاده کنند و راه خود را برای دستیابی به اهداف هموار ک More

  سازمان های پروژه محور در صنایع بالادستی سهم زیادی از منابع ملی را در اختیار دارند و نقش مهمی در توسعه یک کشور ایفا می کنند. ارزیابی عملکرد سازمان های پروژه محور می تواند به مدیران کمک کند تا از ورودی ها به طور موثر استفاده کنند و راه خود را برای دستیابی به اهداف هموار کنند. برای ارزیابی عملکرد سازمان های پروژه محور، شاخص های کمی و کیفی زیادی وجود دارد. محاسبه کارایی از طریق تحلیل پوششی داده ها (DEA) یک شاخص رایج برای ارزیابی عملکرد در چنین شرکت هایی است. در مدل سنتی DEA داده‌های واضح مورد نیاز است در حالی که در دنیای واقعی، بیشتر داده‌ها نادقیق و نامطمئن هستند. یکی از دلایل اصلی عدم قطعیت مربوط به اطلاعات غیر کمی، ناقص و دست نیافتنی است که باعث ادغام منطق فازی و مجموعه های فازی در مدل های مختلف مانند DEA می شود.ایدۀ اصلی پژوهش حاضر ترکیب رویکردهای کمی و کیفی در ارزیابی عملکرد برای بهره‌گیری از هر دو و دستیابی به نتایج دقیق‌تر است. از این رو، در این مقاله، یک مدل ترکیبی مبتنی بر تحلیل پوششی داده های فازی (FDEA) و مدل تعالی پروژه (PEM) برای ارزیابی عملکرد در سازمان های پروژه محور پیشنهاد شده است. ابتدا ارزیابی عملکرد توسط مدل PEM داده های فازی انجام می شود. سپس پیاده سازی فازی DEA در مدل PEM انجام می شود که در آن ورودی ها و خروجی های مدل FDEA معیارهای مدل PEM هستند. مدل هیبریدی پیشنهادی برای ارزیابی 30 شرکت پتروشیمی در ایران استفاده شده است. مقایسه نتایج هر دو مدل نشان‌دهنده ضریب همبستگی تقریباً 90/0 در سطح معنی‌داری 01/0 است که نشان‌دهنده همبستگی مناسب بین دو مدل است. Manuscript profile
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  134 - یک مقدار شپلی برپایه انتروپی برای رتبه بندی در تحلیل پوششی داده ها
  رضا فلاح نژاد ساناز اسدی رحمتی کیوان مرادی پور
  در تحلیل پوششی داده های معمولی، واحدهای تصمیم گیرنده (DMU) به دو دسته کارا و ناکارا تقسیم می شوند، اما امتیاز همه واحدهای کارا برابر با یک است و هیچ تمایزی بین آنها وجود ندارد. بنابراین روش های رتبه بندی متعددی برای افزایش قدرت تمایز پیشنهاد شده است. این مقاله یک چارچوب More

  در تحلیل پوششی داده های معمولی، واحدهای تصمیم گیرنده (DMU) به دو دسته کارا و ناکارا تقسیم می شوند، اما امتیاز همه واحدهای کارا برابر با یک است و هیچ تمایزی بین آنها وجود ندارد. بنابراین روش های رتبه بندی متعددی برای افزایش قدرت تمایز پیشنهاد شده است. این مقاله یک چارچوب یکپارچه از بازی های همکارانه و آنتروپی را برای رتبه بندی واحدهای کارا با در نظر گرفتن واحدهای کارا به عنوان بازیکنان در یک بازی همکارانه پیشنهاد می کند، زیر مجموعه ای از این بازیکنان به عنوان ائتلاف S تعریف می شود. مجموع کارایی DMUهای ناکارا با توجه به مجموعه امکان تولید شامل DMUهای ناکارا و اعضای کارای عضو ائتلاف S به عنوان تابع مشخصه ائتلاف S تعریف می شود که برای تعیین تاثیر حاشیه ای DMUهای کارا استفاده می شود. سپس، یک مقدار شپلی جدید، حاصل از تجمیع وزن دار شده تاثیرات حاشیه ای DMUهای کارا با آنتروپی شانون برای رتبه بندی DMUهای کارآمد استفاده می شود. برای اولین بار، از آنتروپی برای ایجاد یک مقدار شپلی برای محاسبه رتبه واحدهای کارا استفاده می کنیم. دو مثال برای نشان دادن کاربرد مدل پیشنهادی ارائه شده است Manuscript profile
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  135 - تخصیص مرکزی منابع با امکان کاهش فعالیت ها برای ارزیابی سیستم های تولید دومرحله ای با ورودی های اشتراکی
  Amir Yadollahi رضا کاظمی متین Farhad Hosseinzadeh Lotfi
  This paper proposes a centralized network data envelopment analysis model that combines the centralized data envelopment analysis model with possibility of downsizing and two-stage network data envelopment analysis. In the proposed model, this paper also considers the s More

  This paper proposes a centralized network data envelopment analysis model that combines the centralized data envelopment analysis model with possibility of downsizing and two-stage network data envelopment analysis. In the proposed model, this paper also considers the situation in which shared inputs are jointly consumed in each stage. We also assume some outputs can be produced by the first and second stages by using separate inputs. The proposed model is illustrated in an empirical example of twenty sale representatives in two provinces of Golestan and Mazandaran. The results provide valuable information for the centralized decision-maker on how to reallocate resources among the units. Manuscript profile
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  136 - عوامل تاثیرگزار بر انحرافات کارایی در مدلهای تحلیل پوششی دادهای مبتنی بر وزن مشترک
  سعید شاه قبادی
  روشهای مختلفی برای تولید مجموعه ای مشترک از وزنها در تحلیل پوششی داده ها بر اساس اندازه گیری فاصله نرم P وجود دارد. انحراف نمره کارایی حاصل از اوزان مشترک، از نمره کارایی هدف ممکن است مربوط به مدل و پارامتر p باشد. در این مطالعه ، در صورت ایجاد نمره کارایی با کمترین انح More

  روشهای مختلفی برای تولید مجموعه ای مشترک از وزنها در تحلیل پوششی داده ها بر اساس اندازه گیری فاصله نرم P وجود دارد. انحراف نمره کارایی حاصل از اوزان مشترک، از نمره کارایی هدف ممکن است مربوط به مدل و پارامتر p باشد. در این مطالعه ، در صورت ایجاد نمره کارایی با کمترین انحراف توسط وزن مشترک ، سعی می شودفاکتور های تاثیرگزار در مورد انتخاب p ، مدل و مجموعه داده ها تععین شود.همچنین با تجزیه و تحلیل نتیجه مدل های موجود ، دو مدل خطی بهبود یافته معرفی شده است.نتایج مدلهای پیشنهادی دارای انحرافات کارایی فردی و کلی کمتری نسبت به مدلهای قبلی است که این نتایج با مثالهای عددی و تجزیه و تحلیل شبیه سازی تأیید شده است. Manuscript profile
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  137 - مدل های DEA بدون ورودی یا خروجی صریح: شعاعی و غیر شعاعی
  Zohreh Moghaddas
  بسیاری از برنامه ها و مطالعات نگرانی ها در مورد مطالعه مدل DEA بدون ورودی یا خروجی صریح برای ارزیابی عملکرد واحد های تصمیم گیری (DMUs) است. بر اساس آنچه در ادبیات DEA در این مقاله ارائه شده است، ادعا شده است که در رویکرد ذکر شده، فرض تخمین زده شده به درستی مطرح نشده است More

  بسیاری از برنامه ها و مطالعات نگرانی ها در مورد مطالعه مدل DEA بدون ورودی یا خروجی صریح برای ارزیابی عملکرد واحد های تصمیم گیری (DMUs) است. بر اساس آنچه در ادبیات DEA در این مقاله ارائه شده است، ادعا شده است که در رویکرد ذکر شده، فرض تخمین زده شده به درستی مطرح نشده است. بنابراین یک رویکرد مدرن ارائه شده است و برای وضوح، کاربرد مدل های DEA بدون ورودی و خروجی ارائه شده است. Manuscript profile
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  138 - ارزیابی کارایی مدل جمعی کراندار در سیستم های تولید دومرحله ای با داده های منفی
  حمیدرضا بابائی اصیل رضا کاظمی متین محسن خون سیاوش زهره مقدس
  تحلیل پوششی داده ها (DEA) روشی برای اندازگیری کارایی واحدهای تصمیم گیری (DMU) ها است. در مدل‌های تحلیل پوششی داده های سنتی به اختلافات احتمالی بین دو مرحله ناشی از اقدامات میانی اشاره نمی کنند. به همین جهتاین مدل ها برای بررسی کارایی فرآیندهای دو مرحله ای که همه خروجی ه More

  تحلیل پوششی داده ها (DEA) روشی برای اندازگیری کارایی واحدهای تصمیم گیری (DMU) ها است. در مدل‌های تحلیل پوششی داده های سنتی به اختلافات احتمالی بین دو مرحله ناشی از اقدامات میانی اشاره نمی کنند. به همین جهتاین مدل ها برای بررسی کارایی فرآیندهای دو مرحله ای که همه خروجی های مرحله اول اقدامات میانی هستند که ورودی های مرحله دوم را تشکیل می دهند، گسترش یافته است. در دنیای واقعی داده های مربوط به سیستم های تولید دومرحله ای میتوانند مقادیر منفی نیز داشته باشند. با توجه به اهمیت ارزیابی واحدهای تصمیم گیرنده ی دو مرحله ای، در این مقاله ارزیابی این سیستم های تولید با فرض وجود داده های منفی مورد توجه قرار گرفته اند. همچنین در این مقاله رویکرد جدیدی از ارزیابی کارایی توسط مدل جمعی کراندار دومرحله ای با استفاده از داده های منفی ارائه شده است. درادامه با استفاده از مثال عددی وکاربردی به ارزیابی کارایی و رتبه بندی 36 شرکت هواپیمایی پرداخته می شود. Manuscript profile
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  139 - تحلیل کارایی زیست محیطی و نسبت‌های حاشیه‌ای با حضور عوامل نامطلوب : رویکردی مبتنی بر تحلیل پوششی داده‌ها
  منصور صوفی فاطمه بزرگی گردویشه مهدی همایون فر علیرضا امیرتیموری
  همواره تعادل بین مقررات زیست محیطی و مباحث اقتصادی به یکی از مسائل اصلی هر جامعه ای تبدیل شده است. زیرا باافزایش صنعتی شدن کشورها،آلایندگی های زیست محیطی نیز افزایش یافته است. زیرا همراه در فرایند تولید علاوه بر خروجی‌های مطلوب، خروجی‌های نامطلوب نیز تولید می‌شوند و تاث More

  همواره تعادل بین مقررات زیست محیطی و مباحث اقتصادی به یکی از مسائل اصلی هر جامعه ای تبدیل شده است. زیرا باافزایش صنعتی شدن کشورها،آلایندگی های زیست محیطی نیز افزایش یافته است. زیرا همراه در فرایند تولید علاوه بر خروجی‌های مطلوب، خروجی‌های نامطلوب نیز تولید می‌شوند و تاثیر زیادی برکارایی سازمان ها و آلودگی زیست محیطی دارند از سوی دیگر با بررسی میزان تأثیر این خروجی‌ها بر ورودی‌ها و خروجی‌های مطلوب می‌توان به اطلاعات مهمی برای تعیین استراتژی‌ها و رهنمودهایی جهت تصمیم‌گیری دست‌یافت. هدف این پژوهش محاسبۀکارایی و نسبت‌های حاشیه‌ای سیستم های زیست محیطی با درنظرگرفتن عوامل نامطلوب می‌باشد. پژوهش حاضر در دو فاز انجام‌گرفته است. در فاز اول مناطق با استفاده از مدل توسعه‌یافتة تحلیل پوششی داده‌ها به دو گروه کارا و ناکارا طبقه‌بندی شدند. سپس در مرحلة دوم، نسبت‌های حاشیه‌ای خروجی‌های نامطلوب بر ورودی‌ها و خروجی‌های مطلوب در مناطق کارا محاسبه گردید. نتایج نشان داد که تغییر در میزان خروجی‌های نامطلوب تأثیر قابل‌توجهی بر دیگر متغیرها دارد. Manuscript profile
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  140 - ارتقاء واحدهای ناکارا (با داده های منفی) در جهت وزن های مشترک در تحلیل پوششی داده ها
  حسین عباسیان
  هدف اصلی این مقاله، ارتقا و بهبود واحد های ناکارا به وسیله ی وزنهای مشترک به دست آمده از همه ی واحدهای مورد مطالعه می باشد. در واقع وزن های مشترک ورودیها و خروجیهایی که شامل داده های منفی است را به وسیله حل یک مدل برنامه ریزی خطی به دست می آوریم و بردار وزن ها را به عنو More

  هدف اصلی این مقاله، ارتقا و بهبود واحد های ناکارا به وسیله ی وزنهای مشترک به دست آمده از همه ی واحدهای مورد مطالعه می باشد. در واقع وزن های مشترک ورودیها و خروجیهایی که شامل داده های منفی است را به وسیله حل یک مدل برنامه ریزی خطی به دست می آوریم و بردار وزن ها را به عنوان جهتی در نظر می گیریم که واحدهای ناکارا در آن مسیر ارتقا می یابند. روش شناسی این تحقیق به این صورت است که، مدل شعاعی نیمه ماهیتی را مد نظر قرار دهیم و می خواهیم از دوال این مدل برای یافتن وزنهای مشترک ورودیها و خروجیهایی که برخی از آنها منفی هستند، استفاده کنیم. برای این منظور یک مسأله چندهدفه ی تولید وزنهای مشترک ارائه می دهیم و برنامه ریزی آرمانی را برای حل آن بکار می بریم که این منجر به تولید یک مسأله ی غیرخطی می شود که برای این مسأله ی خاص، توسط یک روش خطی سازی، آنرا به یک مسأله ی برنامه ریزی خطی تبدیل می کنیم. چون شرط لازم و کافی برای کرانداری مدل شعاعی نیمه ماهیتی در ماهیت ورودی (خروجی) این است که یک ورودی (خروجی) با حداقل یک مقدار مثبت موجود باشد، پس ما این شرط را در اینجا رعایت می کنیم. سرانجام روشمان را با ذکر یک مثال، بیشتر توضیح می دهیم و نکته قابل توجه در روش ارتقا دادن در تحقیق حاضر این است که داده ای منفی به صورت داده ای منفی ارتقا و بهبود می یابد. Manuscript profile
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  141 - اندازه های کارایی متقاظع نامغلوب در تحلیل پوششی داده ها با رویکرد اهداف ثانویه
  سعید شاه قبادی عباس قماشی فرهاد مرادی
  تحلیل پوششی داده ها (DEA) یک روش برنامه ریزی ناپارامتریک برای ارزیابی کارایی نسبی مجموعه ای از واحدهای تصمیم گیری متجانس (DMUs) با ورودی های متعدد و خروجی های متعدد است. روش کارایی متقاطع DEA روشی شناخته شده است که برای ارزیابی و رتبه بندی مجموعه ای از واحدهای تصمیم گیر More

  تحلیل پوششی داده ها (DEA) یک روش برنامه ریزی ناپارامتریک برای ارزیابی کارایی نسبی مجموعه ای از واحدهای تصمیم گیری متجانس (DMUs) با ورودی های متعدد و خروجی های متعدد است. روش کارایی متقاطع DEA روشی شناخته شده است که برای ارزیابی و رتبه بندی مجموعه ای از واحدهای تصمیم گیری متجانس استفاده می شود. هر زمان که یک DMU قصد ارزیابی سایر DMU ها را داشته باشد، با مشکل وزن های بهینه غیر یکتای مدل های DEA مواجه می شود. زیرا وزن‌های مختلف امتیازات متقاطع متفاوتی را به ما می‌دهند و این باعث سردرگمی تصمیم‌گیرنده در تصمیم‌گیری نهایی می‌شود. اشکال اصلی این روش، مجموعه راه حل بهینه چندگانه است. هدف اصلی این مطالعه پیشنهاد رویکردی برای حل این مشکل برای ایجاد امتیازهای کارایی متقاطع DEA غیر غالب است. ما یک مدل هدف ثانویه برنامه ریزی خطی را برای انتخاب مجموعه ای از وزن های بهینه برای هر DMU پیشنهاد می کنیم. روش پیشنهادی ما نه تنها ساده تر از روش های دیگر ارائه شده با همین هدف است، بلکه کارایی بیشتری دارد. مثال های عددی برای نشان دادن این موضوع در پایان آورده شده است. Manuscript profile
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  142 - ارزیابی عملکرد در تحلیل پوششی داده های شبکه ای پویا با خروجی های نامطلوب
  محمد نجاری الموتی رضا کاظمی متین محسن خون سیاوش زهره مقدس
  در این مقاله، یک مدل جدید تحلیل پوششی داده های شبکه ای پویا با خروجی های نامطلوب ارائه می گردد. ابتدا، ما از یک رویکرد اصول موضوعه ای در DEA با خروجی نامطلوب استفاده نموده و یک مدل شبکه ای با خروجی های نامطلوب ارائه می نماییم. سپس، رویکرد پیشنهادی را گسترش داده و یک مدل More

  در این مقاله، یک مدل جدید تحلیل پوششی داده های شبکه ای پویا با خروجی های نامطلوب ارائه می گردد. ابتدا، ما از یک رویکرد اصول موضوعه ای در DEA با خروجی نامطلوب استفاده نموده و یک مدل شبکه ای با خروجی های نامطلوب ارائه می نماییم. سپس، رویکرد پیشنهادی را گسترش داده و یک مدل با ساختار شبکه ی پویا با خروجی نامطلوب و ورودی ثابت ارائه می نماییم. پس از آن، از این مدل برای ارزیابی عملکرد بیمارستان‌ها در یک مطالعه تجربی برای برآورد کارایی شبکه پویا استفاده می گردد. Manuscript profile
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  143 - ارزیابی کارایی ارزشی هر واحد نسبت به ابرصفحه ی مماس در تحلیل پوششی داده ها (واحدهای شامل داده های منفی با مقیاس فاصله ای)
  حسین عباسیان سید علی کاظمی پور
  در تحلیل پوششی داده ها، کارایی ارزشی یک مفهوم کارایی است که برای محاسبه ی آن، از اولویت های تصمیم گیرنده استفاده می کند. در این مقاله، داده های با مقیاس فاصله ای به صورت تفاضل دو داده مختلف از ورودیها و خروجیها با مقیاس نسبتی می باشند و یکی از نوآوریهای این پژوهش این اس More

  در تحلیل پوششی داده ها، کارایی ارزشی یک مفهوم کارایی است که برای محاسبه ی آن، از اولویت های تصمیم گیرنده استفاده می کند. در این مقاله، داده های با مقیاس فاصله ای به صورت تفاضل دو داده مختلف از ورودیها و خروجیها با مقیاس نسبتی می باشند و یکی از نوآوریهای این پژوهش این است که کارایی ارزشی واحدهایی که شامل داده هایی منفی با مقیاس فاصله ای هستند را محاسبه می کنیم. در کارایی ارزشی واقعی، از منحنی بی تفاوتی تابع ارزشی استفاده می شود که این تابع نامعلوم است و نوآوری دیگر این پژوهش در این است که این منحنی را با ابرصفحه ی مماس در نقطه ای با بیشترین ترجیحات تقریب می زنیم و با پیشنهاد تصمیم گیرنده، یکی از واحدهای کارای تکنیکی را به عنوان نقطه ای با بیشترین ترجیحات در نظر می گیریم. برای یافتن این ابرصفحه مماس، از مساله ی ثانویه ی مدل های شعاعی استفاده می کنیم که دارای بازده به مقیاس متغیر هستند. در نهایت، فاصله ی هر واحد تصمیم گیرنده تا ابرصفحه ی مماس، مقدار کارایی ارزشی آن واحد را نشان می دهد. در مثال عددی ارائه شده، نتایج به دست آمده بسیار نزدیک نتایج مدل های هالم و همکارانش می باشد و این روش می تواند تقریب مناسبی برای کارایی ارزشی ارائه دهد. Manuscript profile
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  144 - کارایی بنگاه‌های اقتصادی در حضور فاکتورهای نامطلوب و منفی با داده‌های بازه‌ای
  MAHNAZ MAGHBOULI مهدی عینی فرهاد طاهر FATEMEH GHOMANJANI
  تحلیل پوششی داده‎‌‌ها روشی برای سنجش عملکرد گروهی از واحدهای تصمیم‌گیری است، که ورودی‌های همگن متعدد را برای تولید خروجی‌های متعدد همگن استفاده می‌کنند. تاکنون مدل‌های فراوانی از تحلیل پوششی داده‌ها با داده‌های بازه‌ای و ورودی و خروجی خاص ارائه شده است. ورودی و خروج More

  تحلیل پوششی داده‎‌‌ها روشی برای سنجش عملکرد گروهی از واحدهای تصمیم‌گیری است، که ورودی‌های همگن متعدد را برای تولید خروجی‌های متعدد همگن استفاده می‌کنند. تاکنون مدل‌های فراوانی از تحلیل پوششی داده‌ها با داده‌های بازه‌ای و ورودی و خروجی خاص ارائه شده است. ورودی و خروجی‌های هر واحد تصمیم‌ گیری در مدل‌های تحلیل پوششی داده‌ها از اهمیت ویژه‌ای برخوردار است. در تحلیل پوششی داده‌ها فرض اصلی بر مثبت بودن داده‌ها می‌باشد، این در حالی است که در دنیای واقعی و در فرآیند تولید، ممکن است داده‌های منفی و حتی نامطلوب وجود داشته باشد. وجود این نوع از داده‌ها با تعاریف کلاسیک تحلیل پوششی داده‌ها سازگاری ندارد. با توجه به اهمیت توجه به این نوع از داده‌ها در این مقاله با ارائه مدلی جدید کارایی واحدهای تصمیم گیری که همزمان دارای ورودی و خروجی منفی، مطلوب و نامطلوب است به صورت داده‌های بازه‌ای پیشنهاد شده است. هدف از این تحقیق ارائه مدل جدید و ارزیابی عملکرد واحدهای تصمیم گیری با داده‌های مذکور است. برای توضیح بیشتر، به عنوان مثال کاربردی از داده‌های بانک خصوصی کشور ایران استفاده شده است Manuscript profile
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  145 - ارزیابی کارایی معاونت های دانشگاه آزاد اسلامی واحد تهران جنوب با رویکرد ترکیبی کارت امتیازی متوازن و تحلیل پوششی داده ها
  کیامرث هفشجانی الهام حسامی
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  146 - Evaluation of Equity in Health with the Aim of Achieving Citizens' Equal Access to Health Care Centers (Case Study: Ardebil City)
  F. Barandak
  Equality in distribution of health facilities is one of the main indicators for increasing the availability of the general health index to the society. So, equitable access to health services for all people in a community leads to promoting the health and equal opportun More

  Equality in distribution of health facilities is one of the main indicators for increasing the availability of the general health index to the society. So, equitable access to health services for all people in a community leads to promoting the health and equal opportunities in the society. The aim of this study is the evaluation of equity in health by assessing people's access to health centers using the Geographic Information System (GIS) and data envelopment analysis (DEA) in Ardebil (with Descriptive and analytical Methods). DEA is one of the useful tools in understanding decision-making milieu, with the primary information processing. Thus, with taking advantage of the GIS the spatial index was provided. Hence, the access quality of the ARDEBIL citizen's to health centers by using of the spatial indicators in the structure of CCR-O model was evaluated. According to the results, the average efficiency of the urban core is the 0.45. Among the urban cores of Ardebil, only three urban cores have the perfect efficiency (Including a range of Shohada Square, Sharyati and 15 Khordad, and Shahriyar neighborhoods, Azadegan and the Garapache garden and the area around Shorabil). In Division of the efficiency to 3 categories in format of Quite efficient (1 = μ), acceptable (0.7≤μ) and unacceptable (0.7≥μ), areas in about 1,000 hectares with a 30 thousand residents of South-Central corridor position with over 6.5 km have the perfect and acceptable efficiency; of the total area of 6031 hectares and 421069 spectators of urban cores. Manuscript profile
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  147 - ارائه تکنیکی جدید برای ارزیابی کارایی مزارع کشاورزی با کاربرد ترکیبی تحلیل پنجرهایی دادهها و شاخص مالم کوئیست مطالعه موردی: مزارع جو شهرستان خاش
  علی سردارشهرکی ندا علی احمدی
  بخش کشاورزی به عنوان منبع اصلی در آمد اکثر کشورهای جهان در مجموعه فعالیت­های اقتصادی از اهمیتی کلیدی برخوردار است. ارتقاء بهره‌وری و کارایی یکی از اساسی‌ترین اهداف در دستیابی به رشد و شکوفایی اقتصادی به‌شمار می‌آید. مساله افزایش بهره‌وری از اصلی‌ترین دغدغه‌هایی است More

  بخش کشاورزی به عنوان منبع اصلی در آمد اکثر کشورهای جهان در مجموعه فعالیت­های اقتصادی از اهمیتی کلیدی برخوردار است. ارتقاء بهره‌وری و کارایی یکی از اساسی‌ترین اهداف در دستیابی به رشد و شکوفایی اقتصادی به‌شمار می‌آید. مساله افزایش بهره‌وری از اصلی‌ترین دغدغه‌هایی است که هر بنگاه اقتصادی تولید کننده کالا و خدمات با آن مواجه بوده و ضروری است به‌هنگام برنامه‌ریزی برای توسعه هر بخشی جوانب مختلف آن در نظر گرفته شود. تحقیق حاضر با هدف تحلیل تغییرات بهره‌وری عوامل تولید و اندازه­گیری کارایی فنی و همچنین بهره­وری زارعین شهرستان خاش با استفاده از تکنیک تحلیل پوششی پنجره­ای داده­ها است. بدین منظور وضعیت کارایی فنی، و بهره­وری زارعین طی دوره 95-1392 بررسی شد. با توجه به نتایج بدست آمده میانگین کارایی فنی بهره­برداران شهرستان خاش، 99/0می­باشد که نسبتاً بالا است که نشان­دهنده کارا بودن بهره­بردارن جو­کار می­باشد. همچنین با توجه به مقادیر شاخص بهره­وری مالم­کوئیست نشان می­دهد که میانگین تغییرات بهره وری کل برای شهرستان با مقدار 95/1 در طی دوره مذکور است. یکی از تأثیر­گذار­ترین عامل در تغییرات بهره­وری کل در کشاورزی، تغییرات تکنولوژی بوده است. پیشنهاد می­شود که برای افزایش کارایی و بهره­وری محصول جو در منطقه از فناوری جدید استفاده شود. Manuscript profile
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  148 - بررسی کارایی فنی نخلستان ها با استفاده از تحلیل پوششی داده ها
  زینب لطیفی حسین شعبانعلی فمی
  استان خوزستان و بویژه شهرستان کارون در این استان، یکی از قطب­های اصلی تولید خرما درکشور ایران می­باشد. نظر به محدودیت عوامل تولید خرما در این شهرستان، لازم است مدیریت بهینه­ای بر تولید این محصول و به­کارگیری نهاده­های تولید صورت گیرد. هدف اصلی تحقیق More

  استان خوزستان و بویژه شهرستان کارون در این استان، یکی از قطب­های اصلی تولید خرما درکشور ایران می­باشد. نظر به محدودیت عوامل تولید خرما در این شهرستان، لازم است مدیریت بهینه­ای بر تولید این محصول و به­کارگیری نهاده­های تولید صورت گیرد. هدف اصلی تحقیق حاضر، محاسبه کارایی فنی مدیریت نخلکاران همه شهرستان کارون و هم­چنین به تفکیک شهرهای این شهرستان، مشتمل بر چهار شهر، با استفاده از روش ناپارامتری تحلیل پوششی داده­ها می­باشد. 200 نخلکار از کل منطقه، از هر شهر50 نخلکار، با بازه مطالعه بین فروردین 1396 تا زمستان 1396 تعیین گردید. نتایج تحقیق نشان داد که شهر ربیع و شیرین شهر به ترتیب کاراترین و ناکارآمدترین مدیریت نخلکاران را دارا هستند. برای شهر ربیع، میانگین کارایی با مقیاس ثابت 100 درصد، کارایی با مقیاس متغیر با رویکرد حداقل کردن نهاده و حداکثر کردن ستاده، 100 و100 درصد و برای شیرین شهر، میانگین کارایی با مقیاس ثابت 56/97  درصد ، کارایی با مقیاس متغیر با رویکرد حداقل کردن نهاده و حداکثر کردن ستاده به ترتیب برابر 69/98 و 04/98 درصد به دست آمده است. در شهرستان کارون، میانگین کارایی با مقیاس ثابت 62/96 درصد، کارایی با مقیاس متغیر با رویکرد حداقل کردن نهاده و حداکثر کردن ستاده به ترتیب برابر 66/98 و 57/97 درصد به دست آمد. در این منطقه، با افزایش آگاهی و مهارت نخلکاران و آموزش آن­ها در زمینه استفاده بهینه از نهاده­ها، می­توان کارایی نخلکاران را افزایش داد. Manuscript profile
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  149 - مقایسه سیستم های تولید جلبک بر اساس مصرف انرژی و تحلیل اقتصادی: کاربرد تحلیل پوششی داده ها
  ناصر کاظمی محمد غلامی پرشکوهی احمد محمدی داود محمد زمانی
  هدف این مقاله بررسی کارایی مصرف انرژی و تحلیل اقتصادی در سیستم های مختلف تولید ریزجلبک (روش فضای باز و گلخانه) با استفاده از روش تحلیل پوششی داده ها (DEA) است. داده های جمع آوری شده از آزمایشگاه دانشگاه آزاد اسلامی واحد اراک محلی برای انجام آزمایشات تولید ریزجلبک در سیس More

  هدف این مقاله بررسی کارایی مصرف انرژی و تحلیل اقتصادی در سیستم های مختلف تولید ریزجلبک (روش فضای باز و گلخانه) با استفاده از روش تحلیل پوششی داده ها (DEA) است. داده های جمع آوری شده از آزمایشگاه دانشگاه آزاد اسلامی واحد اراک محلی برای انجام آزمایشات تولید ریزجلبک در سیستم های مختلف بود. تعداد نمونه ها در هر سیستم تولید ریزجلبک برابر 20 عدد برآورد شد. نتایج انرژی نشان داد که میانگین کل انرژی ورودی به ترتیب 40/15920 و 60/17691 مگاژول در کیلوگرم در فضای باز و گلخانه بود. همچنین نسبت انرژی برای فضای باز و شرایط گلخانه به ترتیب 0.89 و 0.80 و شاخص بهره وری انرژی 0.06 و 0.02 کیلوگرم بر مگاژول برآورد شد. بر اساس تحلیل اقتصادی، بازده خالص روش فضای باز و گلخانه به ترتیب 204376.59 و 269276.06 دلار در کیلوگرم بود. بهره وری اقتصادی روش های کشت فضای باز و گلخانه ای به ترتیب 0.17 و 0.16 کیلوگرم بر دلار تعیین شد. نتیجه DEA نشان داد که کل مصرف بهینه انرژی در روش فضای باز 93/14476 مگاژول در کیلوگرم بود. با تبدیل کشت ناکارآمد به کارآمد، حدود 16355.21 مگاژول در کیلوگرم در روش گلخانه ای (7.55 درصد) نسبت به شرایط کشت فعلی صرفه جویی شد. طبق بررسی های انجام شده مشخص شد که کشت در فضای باز نسبت به کشت گلخانه ای انرژی کمتری مصرف می کند و مقرون به صرفه تر است. در نتیجه، ترویج کشت ریزجلبک در فضای باز به کشت گلخانه ای ارجحیت دارد. Manuscript profile
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  150 - ارزیابی کارایی فنی نخلستان های خرما با استفاده از رهیافت تحلیل پوششی داده های بوت استرپ (مطالعه موردی منطقه رودخانه بر ایران)
  غلامرضا زمانیان مصطفی خواجه حسنی
  منطقه رودخانه­بر با حدود 111 هزار اصله نخل کریته، یکی از مهم­ترین مناطق تولیدکننده محصول خرما در شهرستان رودان محسوب شده و درآمد مردم این منطقه تقریباً بطور مستقیم و یا غیر مستقیم از تولید این محصول تأمین می­گردد. در نتیجه کارایی تولید این محصول برای باغدارا More

  منطقه رودخانه­بر با حدود 111 هزار اصله نخل کریته، یکی از مهم­ترین مناطق تولیدکننده محصول خرما در شهرستان رودان محسوب شده و درآمد مردم این منطقه تقریباً بطور مستقیم و یا غیر مستقیم از تولید این محصول تأمین می­گردد. در نتیجه کارایی تولید این محصول برای باغداران این منطقه از اهمیت ویژه­ای برخوردار است. به همین دلیل این مطالعه با استفاده از تحلیل پوششی داده­های نهاده محور بوت‌استرپ و با نمونه گیری از 50 نخلستان تولیدکننده خرمای کریته منطقه رودخانه­بر در سال 1392، به ارزیابی کارایی فنی نخلستان­های این منطقه می­پردازد. نتایج بدست آمده بیانگر آن است که 64 درصد تولیدکنندگان خرمای این منطقه با کارایی کمتر از 50 درصد فعالیت نموده و تنها 14 درصد از نخلستان­ها به صورت کارآمد فعالیت می­نمایند. با توجه به نتایج بدست آمده پیشنهاد می­شود با حمایت جهاد کشاورزی منطقه از فعالیت­های ترویجی، مراکزی جهت تشکیل کلاس­های آموزشی برای باغداران این منطقه دایر شود؛ تا در این مراکز علاوه بر آموزش، فرصتی برای اشتراک گذاری تجربیات باغداران موفق و خبره در جهت تخصیص مناسب­تر نهاده­ها در فعالیت­های سایر باغدارن بوجود آید.  Manuscript profile
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  151 - Analysis of the legislative and supervisory performance of different periods of the Islamic Parliament using two-stage data envelopment analysis
  Ahmad Ghanbarian Boroojeni kambiz Shahroodi Alireza Amirteimoori mehrdad Goodarzvand Chegini
  Recognizing the significance of decisions and decision-making by the Islamic Parliament and their impact on human societies, it is crucial to evaluate the efficiency of different parliamentary terms, identify strengths and weaknesses, and determine influential factors f More

  Recognizing the significance of decisions and decision-making by the Islamic Parliament and their impact on human societies, it is crucial to evaluate the efficiency of different parliamentary terms, identify strengths and weaknesses, and determine influential factors for enhancing future performance. The reformation of the decision-making process is essential as it will result in sound decisions and elevate the political and economic conditions of the country. Thus, the objective of this research is to propose a two-stage data envelopment analysis (DEA) model to evaluate the performance of various periods of the Islamic Parliament (from the third to the tenth period) in terms of legislation and supervision. In the proposed approach, each term of the Islamic Parliament is considered a two-stage decision-making unit (DMU), with legislation as the first stage and supervision as the second stage. The results suggest that, generally, 50% of the periods are efficient, while the remaining 50% are inefficient. Specifically, Periods C, D, G, and H are identified as efficient periods across both dimensions. However, Period B, in terms of overall performance and the supervision dimension, and Period A, within the legislative dimension, are pinpointed as the most inefficient periods. Additionally, an analysis of the average efficiency scores in legislation and supervision underscores that, overall, the Islamic Parliament has demonstrated superior performance in legislation compared to supervision during various periods. This disparity in performance between the supervisory and legislative aspects has led to higher inefficiencies among the periods characterized as inefficient. Manuscript profile
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  152 - Provide a Method to Evaluate Business Agility in Manufacturing Firms. Using Data Envelopment Analysis Stage TechniqueCase study: The automobile Trading Companies
  علی Ramezani امیر Rahimi Ghazikalayeh مهدی Amirafshari
  This research as provide a method to evaluate business agility in maunfacturing firms.using data envelopment analysis stage technique"was performed.the first,the theoretical foundations of research were studied.data sets,at this stage collected,provide the opportunity f More

  This research as provide a method to evaluate business agility in maunfacturing firms.using data envelopment analysis stage technique"was performed.the first,the theoretical foundations of research were studied.data sets,at this stage collected,provide the opportunity for researchers explain a concept model.then,using interviews with experts were identified indicators to measure the model variables.In the second stage,designed survey questionnaire.  The results showed agility capacities of organizations are less affected by environmental factors,and these factors most are affected enables agility.and environmental drives are affected organizational agility capacities through instruments enabling agility.and organizational capacities are affected for forming results agility. Finally,using final model and data envelopment analysis stage technique,organizational agility is evaluated.   Manuscript profile
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  153 - Automakers Clustering based on Economic Production Function using Data Envelopment Analysis
  S. Rezaei Gh.R. Amin M.Gh. Ariyanezhad
  DEA-based clustering approach reveals the input–output relationships hidden in the data items of input and output. DEA-based clustering approach employs the piece-wise production functions derived from the DEA method to cluster the car companies. Estimate produ More

  DEA-based clustering approach reveals the input–output relationships hidden in the data items of input and output. DEA-based clustering approach employs the piece-wise production functions derived from the DEA method to cluster the car companies. Estimate production function for each car company by input-output data is the benefit of this method. Thus, each car company (like Saipa) not only knows the cluster that it belongs to, but also checks the production function type that it confronts. It is important for managerial decision-making in different fields where decision-makers are interested in knowing the changes required in combining input resources. Manuscript profile
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  154 - Estimating the Efficiency of Banks by DEA Approach and Investigating its Relationship with Financial Ratios
  Fatemeh Mesgarpour Amiri Naser Yadollah zadeh Tabari
  The evaluation of performance of banks due to its crucial role in most economic activities
  and health maintenance of financial markets and economic conditions has always been considered On the other hand, because of the responsibility of DEA models - especially in d More

  The evaluation of performance of banks due to its crucial role in most economic activities
  and health maintenance of financial markets and economic conditions has always been considered On the other hand, because of the responsibility of DEA models - especially in detecting and determining the efficiency of banks has led to the use of the above-mentioned models is extensive. The goal of this article is to offer DEA for evaluating the performance of banks. Efficient and inefficient banks have been identified and finally, for the inefficient banking units the reference model has been introduced. In addition, the relationship between financial ratios and efficiency has been studied. The results show that 9 of the 20 units were efficient and the rest were inefficient. 8 financial ratios are presented: capital adequacy ratio, profitability ratios, management ratio and the asset quality ratio had the most direct relationship with performance. Manuscript profile
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  155 - Analysis of Gilan by the production and productivity of rice processing industry DEA
  SH Kavosi مصطفی Ebrahim por azbari مهدی KHayati
  High rates of wastes in rice Conversion Industries at Gilan Province Resulting huge losses to the economy of the farmers and reveals low productivity of factors are used in processing paddy to white rice. so Any change in efficient and effective use of inputs Depends on More

  High rates of wastes in rice Conversion Industries at Gilan Province Resulting huge losses to the economy of the farmers and reveals low productivity of factors are used in processing paddy to white rice. so Any change in efficient and effective use of inputs Depends on measuring total production system productivity and to identify factors affecting it. The main goal of this research is measurement of productivity and evaluate of factors affecting on it in Gilan province rice conversion industries. a survey was conducted and the required data were collected by questionnarie 130 samples determined through stratified sampling method. We have used Production Function to measure productivity and evaluate of factors affecting and for ranking of factories Data Envelopment Analysis method have been used. results showed that length of paddy on the surface of dryer machine, Technology gap and gap between actual and potential production have negative effect and factors such as capital intensive, using native varieties, education of factory manager and ratio of paddy purchased by factory to total consumed paddy have positive effect on TFP Manuscript profile
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  156 - A Comparative Analysis of Efficiency between Firms Power Production in Iran,
  Ebrahim Abassi Shamin Ebrahim
  The efficiency and productivity measuring models have changed a lot in past decade, and strong body of theories and software's have been developed. In this article, first we review microeconomic theories about efficiency and then explain two major efficiency measuring m More

  The efficiency and productivity measuring models have changed a lot in past decade, and strong body of theories and software's have been developed. In this article, first we review microeconomic theories about efficiency and then explain two major efficiency measuring models include data envelopment analysis (DEA) and SFA.Recent arguments about efficiency criteria start with studies of Coopman and Farrell in 1951. He argues that the issue of economic efficiency measuring in an industry is important from two aspects: one, economy theories and two, for purpose of economic policy making. Economic planning applications in particular industries, have a significant effect on expecting more outcomes without allocating more incomes and resources (efficiency definition). Manuscript profile
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  157 - بررسی کارایی بانک های دولتی و خصوصی بر اساس شاخص‌های بانکداری الکترونیک با استفاده از روش تحلیل پوششی داده ها ((DEA
  منیژه هادی نژاد رافیک نظریان فریدون پیری
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  158 - Bank branches performance evaluation with DEA and cooperative game theory approach
  Mahdieh Akhbari Marzieh Mozafari Zahra Abodollahi
  Classical data envelopment analysis models calculate the performance of decision-making units based on a common performance boundary and make no distinction between efficient units. In this study, the method of super-efficiency and cross-efficiency is used to rank the e More

  Classical data envelopment analysis models calculate the performance of decision-making units based on a common performance boundary and make no distinction between efficient units. In this study, the method of super-efficiency and cross-efficiency is used to rank the efficient branches of banks before the cooperation phase. Then, in the cooperation phase, each efficient branch is considered as a player and the subdivisions of the efficient branches are considered as a coalition, and the problem is examined using the method of cooperative game theory and Shaply value. In this study, the efficiency change variable shows the impact of each efficient branch in different alliances. From the total variable of efficiency change of efficient branches in each coalition, a characteristic function called profit from the coalition is introduced. The value of this characteristic function is determined for all possible alliances and Shaply value is introduced as the solution of this cooperative game and the ranking of efficient branches is presented in terms of cooperation. The resulting model is implemented on a case study and the ranks of efficient branches are compared in the super efficiency method and cross-efficiency (before cooperation) and Shaply value method (after cooperation). Manuscript profile
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  159 - روش ترکیبیBSC و VFB-DEAدر محیط فازی جهت طراحی مدلی برای ارزیابی عملکرد بیمارستان ها
  علیرضا علی نژاد جواد خلیلی
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  160 - ارزیابی عملکرد، رتبه بندی و ارائه مسیر توسعه با استفاده از رویکرد تحلیل پوششی داده ها(DEA) (مورد مطالعه : شرکت های هواپیمایی مسافربری ایرانی)
  نصرت اله شادنوش احسان معینی
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  161 - ارزیابی کارایی سود در زنجیره تامین سه مرحله ای با خروجی های برگشت داده شده با تکنیک تحلیل پوششی داده ها
  زهره مقدس شادان صدیق بهزادی محسن واعظ محمد علوی ششتمد
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  162 - ارزیابی عملکرد سبد اوراق بهادار – مدل علمی میانگین – واریانس – چولگی در مقایسه با مدل علمی میانگین – واریانس
  علی روحی محمد محققی ریاضی
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  163 - بررسی کارائی شرکت های پذیرفته شده در بورس اوراق بهادار تهران با استفاده از روش تحلیل پوششی داده ها و ارتباط آن با بازده سهام
  آزیتا جهانشاد زهرا پورزمانی فاطمه اژدری
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  164 - Evaluation of Bank Branches with Financial Indicators Using Data Envelopment Analysis
  somayeh Razipour-GhalehJough ّFarhad Hosseinzadeh Lotfi Mohsen Rostamy-Maslkhalifeh Hamid Sharafi
  Banks play an important role in the economic development of any country as the main part of the financial system. Calculating efficiency and finding the strengths and weaknesses of branches has a significant impact on increasing the efficiency of banks. Data envelopment More

  Banks play an important role in the economic development of any country as the main part of the financial system. Calculating efficiency and finding the strengths and weaknesses of branches has a significant impact on increasing the efficiency of banks. Data envelopment analysis is one of the performance evaluation techniques that is able to introduce benchmarks for inefficient decision-making units in addition to estimating relative efficiency. In this paper, using a data envelopment analysis, a model for evaluating efficiency, studying sensitivity analysis of 18 branches of one of the commercial banks of Iran with financial ratios is presented. For this purpose, a model is proposed for output estimating with ratio data. By changing the input values the output values can be estimated. The amount of changes required in the outputs to maintain the efficiency as well as maintaining the rank is possible by using the proposed model with ratio data. Manuscript profile
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  165 - A new Method for Sustainable Portfolio Selection with DEA, TOPSIS and MIP in Stock exchange
  Soghra Rezaei Mohsen Vaez-Ghasemi
  In today's highly competitive world, the condition of survival and participation in the field of activity, functioning and efficient and effective, is not achieved except through continuous planning, monitoring, control and evaluation. In this regard, we tried to presen More

  In today's highly competitive world, the condition of survival and participation in the field of activity, functioning and efficient and effective, is not achieved except through continuous planning, monitoring, control and evaluation. In this regard, we tried to present a mathematical hybrid model for selecting and planning an optimal composition of the shares according to the goals and priorities, in order to obtain the highest compatibility between the final selection and the initial ranking of each share. The proposed model consists of three steps and several steps, the SBM method of data envelopment analysis (DEA) (for initial stock revisions, multi-factor decision-making (TOPSIS)) in uncertainty conditions, for the assessment and ranking of shares in two individual steps and categorized and integer linear programming (IP) for choosing the best stock portfolio with increased scores according to the organization's priorities and constraints. Collect information from reputable sites of five industries active automotive, pharmacy, petrochemical, cement and food industries to the best stock portfolio for investment, due to the impact of algorithms and methods. Manuscript profile
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  166 - Evaluating the efficiency score of investment holdings by considering undesirable variable using FDH model: An approach of Data Envelopment Analysis
  alireza ziaei shirkolaei mohammad ebrahim mohammad pourzarandi mehrzad minoee
  Data envelopment analysis is a non-parametric method for measuring the performance score of a set of units under evaluation. Recently, the application of data envelopment analysis models in networked or multi-stage structures has been considered by researchers. This pap More

  Data envelopment analysis is a non-parametric method for measuring the performance score of a set of units under evaluation. Recently, the application of data envelopment analysis models in networked or multi-stage structures has been considered by researchers. This paper seeks to reinforce the first steps taken to develop DEA network models based on asynchronous technology. To this end, it provides a way to consider undesirable outputs in an asynchronous technology. The models presented in this paper, while calculating the overall performance score in a network system, are able to calculate the performance of each step separately in the presence of undesirable factors without any additional calculation and provide it to the system administrators. Also, to show the accuracy of the proposed model compared to the basic CCR model, we conclude the computational accuracy of the model due to the identification of a number of less efficient units than the CCR model. According to the results, despite the fact that some units are considered as efficient, but due to inefficiency in some stages are considered inefficient and only the National Industrial Holding is considered as the only efficient unit due to the fact that it is efficient in both stages. Manuscript profile
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  167 - Financial performance measurement of the top 50 companies on the stock exchange using non-radial models of data envelopment analysis
  Saeid Rezaeilava Mirfeyz Fallah Masoud Sanei Shokofeh Banihashemi
  The purpose of this study is to select the optimal stock portfolio using data envelopment analysis and to carry out the project of stock exchange information about the top 50 active companies in the summer of 1398 and trace the analysis of the same data in the spring of More

  The purpose of this study is to select the optimal stock portfolio using data envelopment analysis and to carry out the project of stock exchange information about the top 50 active companies in the summer of 1398 and trace the analysis of the same data in the spring of 1398. To calculate the relative efficiency and progress of companies, a developed data envelopment analysis (SORM) model has been used, where inputs can be changed only at a limited and specified distance, and with the same assumption, the output can be limited to a limited distance. The negative data can be analyzed and the final model facilitates the efficiency and optimization of stock portfolio selection according to the information extracted from the community under discussion. The results of this analysis show that 13 companies achieved a performance equal to 1, which indicates the highest level of efficiency, and Bank Saderat, including 1.32 Fanavaran Petrochemical Company, with the figure of 1.15, has been classified as having the highest progress and growth rate, respectively, on the first and second floors of productivity.Keywords: negative data, data envelopment analysis, ranking indicators, super performance, progress and regression. Manuscript profile
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  168 - Evaluating the Performance of Financial Institutions using a Data Envelopment Analysis model in a FDH networks (Case Study: Saman Bank)
  Hadise Vahedi-Anvar Narges Norouzi
  Today, measuring efficiency is one of the most important methods of performance evaluation in any organization. The outputs obtained in all inputs represent the efficiency. Due to the comprehensiveness of the banking sector, it can be introduced as one of the main areas More

  Today, measuring efficiency is one of the most important methods of performance evaluation in any organization. The outputs obtained in all inputs represent the efficiency. Due to the comprehensiveness of the banking sector, it can be introduced as one of the main areas of economic development. In this paper, a data envelopment analysis (DEA) model in a Free Disposal Hull (FDH) network is presented considering the undesirable output for handling the status of the financial deposits in Saman Bank branches. Since the basic models calculate efficiency by considering the overall output and input and ignoring the internal relationships in the banking process flow system; therefore, by considering this issue, in this paper, we present a DEA model that calculates the efficiency score of the branches with the high accuracy. Then the proposed model is compared to the basic CCR model. Finally, the cross-performance method is used to rank the units of the branches. Manuscript profile
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  169 - Providing an Optimal Financing Model of Entrepreneurship Through Acquisition (ETA) Perspective of Entrepreneurs and Investors Using Data Envelopment Analysis (DEA)
  Maryam Amiri Mohsen Rostamy-Maslkhalifeh Afsaneh Zamani Moghadam
  In the past, attempts have been made to conceptualize all purchases based on the LBO model and through the lens of agency theory. This view of the past has severely limited the ability of financial engineers to create models and tools for entrepreneurship motivation. ET More

  In the past, attempts have been made to conceptualize all purchases based on the LBO model and through the lens of agency theory. This view of the past has severely limited the ability of financial engineers to create models and tools for entrepreneurship motivation. ETA is a window to revitalize businesses by acquiring small businesses with entrepreneurial capacity instead of starting a start-up business.In this study, according to behavioral, financial, economic, social, and legal indicators, the efficiency degree of entrepreneurship through acquisition models using the non-parametric method of data envelopment analysis based on output-oriented BCC and CCR models from the entrepreneurs and investors' perspectives in the Iranian market. We have demonstrated a comprehensive ranking of the models based on the Anderson and Peterson (A&P) model finally.The results show that based on the output-oriented BCC and CCR models, the crowdfunding model from the perspective of entrepreneurs, and the incubator model from the perspective of inefficient investors. According to Anderson and Peterson model, the optimal model from the point of view of investors is the sponsor model and from the entrepreneurs' view, the self-fund model was considered with the highest efficiency and compliance according to the indicators Manuscript profile
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  170 - پیش بینی درماندگی مالی شرکت های پذیرفته شده در بورس اوراق بهادار تهران با استفاده از شبکه بیزی ساده و مقایسه آن با تحلیل پوششی داده ها
  علی اسماعیل زاده مقری هاجر شاکری
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  171 - Analysis of Common Weighting Method in Data Envelopment Analysis Based on Customer Satisfaction of Companies Active in Tehran Stock Exchange
  Zahra Bodaghi Mahnaz Ahadzadeh Namin Shadi Shahverdiani
  The traditional data envelopment analysis model allows the decision maker unit (DMU) to use the most favorable weights to evaluate the efficiency. This type of evaluation with the most flexibility can prevent the full ranking of DMUs and the evaluation results for DMUs More

  The traditional data envelopment analysis model allows the decision maker unit (DMU) to use the most favorable weights to evaluate the efficiency. This type of evaluation with the most flexibility can prevent the full ranking of DMUs and the evaluation results for DMUs are unacceptable. To solve this problem in data envelopment analysis, a common weight approach based on the concept of the degree of satisfaction of a DMU has been introduced. Also, to solve a common weight model, which is a nonlinear model, an algorithm is presented that can be modeled step by step. In this paper, we will evaluate the performance of companies active in Tehran Stock Exchange using a common weight model for 24 companies active in Tehran Stock Exchange. The weighted average performance of Tehran Stock Exchange companies for the years 1394 and 1395. The results show that this method will rank companies without any interference during these two years. Manuscript profile
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  172 - تعیین ساختار بهینه سرمایه با استفاده از شاخص های سنجش عملکرد مبتنی برارزش به کمک تحلیل پوششی داده ها (DEA)
  سیدعلی‌اکبر حسینی یوسف نجفی
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  173 - استفاده از تکنیک تحلیل پوششی داده ها برای سنجش کارایی شرکت های تولیدی پذیرفته شده در بورس اوراق بهادار تهران با استفاده از مدل مبتنی بر گزارشگری مالی
  زهره حاجیها مونا قیلاوی
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  174 - Performance Evaluation Model for Hospitals Using BSC and Fuzzy VFB-DEA
  alireza alinezhad Javad Khalili
  Improving efficiency is one of the most important indicators to evaluate the Organization performance and the most basic and the first step to improve efficiency is measure and evaluate it. So far, little researches has been conducted on the hospitals performance evalua More

  Improving efficiency is one of the most important indicators to evaluate the Organization performance and the most basic and the first step to improve efficiency is measure and evaluate it. So far, little researches has been conducted on the hospitals performance evaluation using the combined of balanced scorecard (BSC) and data envelopment analysis (DEA). But in the researches has found by the researcher; 1. Simple performance of units has calculated using DEA classic models, which have two limitations: a) self-evaluation; and b) a lack of recognition between efficient DMUs; The new VFB-DEA cross efficiency model used in this research eliminates these limitations and makes the evaluation results more reasonable. 2. Conditions of uncertainty are not considered if some performance indicators require human judgment, to overcome this problem, the development of the VFB-DEA cross efficiency   model in fuzzy environment is done by the researchers. This research attempts by using fuzzy data envelopment analysis (FDEA) and BSC to evaluate the public hospitals performance in Mashhad during 2014. In this regard, the indicators used to evaluate the performance of health care in situations in past studies and with health experts, three indicators of Staff satisfaction, capita Education and the cost of medicine and supplies, and three indicators of patient satisfaction and the average length of stay and percentage of bed occupancy, in four perspectives of the balanced scorecards elected as input indicators and output indicators. Then, using a new model VFB-DEA in fuzzy environment, mentioned units were evaluated. The results show in the VFB-DEA model thehospital2is ranked first and the hospital 1 and 6 are the most inefficient hospitals. Given the uncertainty and determination of input and output indicators based on a balanced scorecard, the proposed model is more accurate than the past models and enables managers to make better and more accurate decisions to improve the efficiency of organizations. Manuscript profile
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  175 - Measuring the Efficiency and Productivity of Commercial Banks in Iran by using a Hybrid Model of Fuzzy TOPSIS, DEA and MPI
  ali fazelyazdi mahmod moienaldin
  Given the very essential role of banks in Iran, their improper operations might generate a critical environment. The present study seeks to examine the efficiency and productivity of Iran commercial banks for a period from 2007 to 2011 by using Fuzzy TOPSIS, DEA and Mal More

  Given the very essential role of banks in Iran, their improper operations might generate a critical environment. The present study seeks to examine the efficiency and productivity of Iran commercial banks for a period from 2007 to 2011 by using Fuzzy TOPSIS, DEA and Malmquist index. For implementing this model, the significance of the inputs (total assets, equity, total costs and total debts) and outputs (total revenue, E-banking, granted loans and receiveables and currency trades) are calculated by using Fuzzy TOPSIS method to be used in DEA and Malmquist index. The findings reveal that the total assets (among inputs) and granted loans and receivables (among outputs) have the highest significance. The results of banks’ efficiency document that Mehr-e-Iranian, Sina, Sarmayeh, Pasargad, Karafarin, Maskan, Toseh-e-Saderat and Eghtesad-e-Novin have the best operation. The findings related to productivity also indicate that the average productivity rate of the banks are negative over the years from 2007 to 2011; except for Melli, Mellat, Sanat Madan, Saderat, Sepah, Tejarat, Keshavarzi, Parsian, Karafarin and Post Bank (the average productivity rate of these banks are more than one). Manuscript profile