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Open Access Article
1 - Presenting a Model for Predicting and Improving Production Quality Using Decision Tree Algorithms and Linear Planning (Case Study: TIBA Wave Generating Companies in Iran)
Nadereh Sadat Rastghalam Roya Roya M.ahari Ahmad Reza Shekarchizadeh Atefeh AmindostToday, most industries and factories in the country use statistical quality control tools to improve product quality, but due to the high volume of data, now there is a need for a more powerful tool that can control statistical quality control processes, given the exten MoreToday, most industries and factories in the country use statistical quality control tools to improve product quality, but due to the high volume of data, now there is a need for a more powerful tool that can control statistical quality control processes, given the extent Data Mining Algorithms and Its Ability to Discover Rules In this research, data mining tools have been used to improve the quality control process and increase it. The method is that first the failure database is formed and after collecting quality control data, the accuracy of predicting the quality of parts is determined using different decision tree algorithms and in the next step using Modeling, Coverage Analysis, Data Each of the rules is evaluated, and finally the workstations are evaluated using the rules that apply to each workstation. Accordingly, in this study, the statistical population of all Tiba surge arresters in 1398. The attributes consist of 9 workstations. Based on the results, the best algorithm in predicting C5 failure is and the most important attributes selected by it are determined as the most important attributes, which are: Cooling quality, hole quality and cutting quality. Also, the evaluation of the rules has been done using the model of cover analysis, data and the most important rules have been extracted. Finally, based on solving the model, the devices that will be in the corrective priority for the current year are: Rowling , Solder and cutting Manuscript profile -
Open Access Article
2 - Ranking indicators of good governance in effective organizations (Case Study: branches of Refah bank in Qazvin Province)
Seyede Atefeh Yeganegi Seyyed Mehdi Alvani Gholamreza memarzadehGood governance is an emerging issue that has gained much attention in scientific and international societies during two recent decades. Some indices have been proposed for realization of good governance. Obviously, these indices differ regarding their weight and import MoreGood governance is an emerging issue that has gained much attention in scientific and international societies during two recent decades. Some indices have been proposed for realization of good governance. Obviously, these indices differ regarding their weight and importance for achieving ideal governance. The main question of the present study is to find out the importance and priority of each index in obtaining efficiency of units and organizations. Through a field survey, it was tried in the present research to study the indices of good governance in depth, to identify the efficient units using data envelopment analysis (DEA), and finally to prioritize the indices based on analytical hierarchy process (AHP). Statistical population includes the employees (n=41) of efficient branches of Refah Bank in Qazvin province The results obtained in this study indicated that out of six indices proposed for good governance, accountability has the highest priority; followed by rule of law and valuism. Manuscript profile -
Open Access Article
3 - Determining returns to scales the left and right in a two-stage green supply chain using network data envelopment analysis
Rohollah Sharafeddin Amir Gholam Abri Mohammad FallahIn the present age, evaluating and then improving the performance of production systems and supply chains as a whole is the only possible way to compete in the global business market. Data Envelopment Analysis (DEA) is a non-parametric method for measuring the relative MoreIn the present age, evaluating and then improving the performance of production systems and supply chains as a whole is the only possible way to compete in the global business market. Data Envelopment Analysis (DEA) is a non-parametric method for measuring the relative efficiency of production systems and decision-making units with multiple homogeneous inputs and outputs as a mathematical programming method. Determining the type of return to scale (RTS) helps managers make more accurate predictions about the expansion or limitation of the decision-making unit (DMU). Due to the importance of RTS in relation to management decisions, various methods have been proposed by DEA researchers to introduce and determine its type. Research in RTS evaluation has led to a more general classification of RTS types, with the titles Left return to scale (L-RTS) and Right return to scale (R-RTS). This research studies the two-stage production process and introduces an approach to estimating the type of efficiency on the right and left scales of DMUs. In this paper, the application of the DEA network model to calculate the relative efficiency and return to scale of cement companies listed on the stock exchange has been studied. The data used in the model is related to the production process of 42 cement companies in 2020. Manuscript profile -
Open Access Article
4 - Efficient location by using data envelopment analysis
M. Mirbloky M. JolaeiSo far, many types of location models have been developed to find optimal spatial patterns according to different spatial metrics such as cost, coverage and availability. The initial focus of these models is on the location availability of service providers and demand e MoreSo far, many types of location models have been developed to find optimal spatial patterns according to different spatial metrics such as cost, coverage and availability. The initial focus of these models is on the location availability of service providers and demand estimates, and some of these models are within the framework of multi-objective programming models. After the advent of science of data envelopment analysis, some researchers have considered the efficiency of selected facilities as one of the target functions in locational issues and provide solutions. In this paper, we present a multi-objective programming model by integrating a joint weights estimation model and location model. The resulting model, unlike the former models, is characterized by a single run of efficiently selected centers from several potential centers. The proposed model is investigated by a numerical example, and the results show the contradiction between location and performance functions Manuscript profile -
Open Access Article
5 - Evaluating and Prioritizing of cement plant pollutant gases based on FDH and CRA models
fatemeh dadkhah Mohammad Reza Mozaffari Javad geramiControl and reduction in environmental pollutants are of a great importance in all countries. In this paper, pollutant gases in the cement industry are analyzed and then prioritized for purposes of control and filtration based on DEA models. Two new radial and non-radia MoreControl and reduction in environmental pollutants are of a great importance in all countries. In this paper, pollutant gases in the cement industry are analyzed and then prioritized for purposes of control and filtration based on DEA models. Two new radial and non-radial DEA models are proposed to prioritize reduction in total costs and in the effects of pollutant gases. Then, another non-radial model is provided for prioritizing reduction in costs and in the effects of pollutant gases. This prioritization is carried out using free disposal hull (FDH) and central resource allocation (CRA) models considering the types of disease caused by the pollutant gases and the medical treatment costs incurred. Finally, the results of the prioritization of Fars cement industry pollutant gases by all three proposed models are compared with those given by Technique for Order of Preference by Similarity to an Ideal Solution (TOPSIS) method and by FDH models. Manuscript profile -
Open Access Article
6 - Fixed Costs Allocation using Cross-Efficiency Evaluation and Game Theory
Mostafa Davtalab-olyaie Fatemeh Ghandi Farideh Davtalab-OlyaieIn many applications, there are some fixed costs for constructing the common platform of an organization which must be shared by all decision making units (DMUs). It is important how one should allocate such costs among all competing DMUs. Data envelopment analysis (DEA MoreIn many applications, there are some fixed costs for constructing the common platform of an organization which must be shared by all decision making units (DMUs). It is important how one should allocate such costs among all competing DMUs. Data envelopment analysis (DEA), which is a useful tool to evaluate the relative efficiency of DMUs, has been successfully used in allocating fixed costs among DMUs. Two main approaches have been proposed to allocate fixed costs that are based on maintaining or improving the relative efficiency of DMUs. In fixed costs allocation, one however needs to take into account both competitive and cooperative aspects among all DMUs. Therefore, it seems more reasonable to apply a peer-evaluation method in evaluating the efficiency of DMUs. To this end, we use cross-efficiency evaluation in DEA to allocate fixed costs between DMUs. Using cross-efficiency method and some concepts of game theory, we propose a new fixed costs allocation approach to share costs between DMUs such that the vector of cross-efficiency scores of DMUs after allocation is Pareto. We use a real application to more illustrate the proposed method and compare it with some of the existing methods. Manuscript profile -
Open Access Article
7 - A new approach based on data envelopment analysis with double frontiers for ranking the discovered rules from data mining
Hossein AziziData envelopment analysis (DEA) is a relatively new data oriented approach to evaluate performance of a set of peer entities called decision-making units (DMUs) that convert multiple inputs into multiple outputs. Within a relative limited period, DEA has been converted MoreData envelopment analysis (DEA) is a relatively new data oriented approach to evaluate performance of a set of peer entities called decision-making units (DMUs) that convert multiple inputs into multiple outputs. Within a relative limited period, DEA has been converted into a strong quantitative and analytical tool to measure and evaluate performance. In an article written by Toloo et al. (2009), they proposed a new DEA model to find the most efficient association rule in data mining. Considering several criteria, they created an algorithm for ranking association rules using this model. In the present article, we show that their model only selects an optimistic efficient association rule randomly and it is completely dependent on solution or software, which is used for solving problems. In addition, it shows that their proposed algorithm can only rank optimistic efficient rules randomly and it is not able to rank optimistic non-efficient DMUs. We mention other disadvantages and propose a new approach “DEA with double frontiers” to create a complete ranking of association rules. A numerical example will explain some contents of the paper. Manuscript profile -
Open Access Article
8 - A DEA model for resource allocation with weight restrictions : An application of resource allocation in IAU (Mashhad Branch) Libraries
Hamed Zhiani Rezaiتاکنون مدلهای زیادی برای ارزیابی کارایی و تخصیص بهینهی منابع با استفاده از مدلهای تحلیل پوششی دادهها معرفی شدهاند. در این مقاله یک مدل وزن های مشترک که با استفاده از برنامه ریزی آرمانی خطی شده است ارائه خواهد شد. همچنین برای یافتن جوابهایی نزدیک به نظر مدیران از ک Moreتاکنون مدلهای زیادی برای ارزیابی کارایی و تخصیص بهینهی منابع با استفاده از مدلهای تحلیل پوششی دادهها معرفی شدهاند. در این مقاله یک مدل وزن های مشترک که با استفاده از برنامه ریزی آرمانی خطی شده است ارائه خواهد شد. همچنین برای یافتن جوابهایی نزدیک به نظر مدیران از کنترل وزن استفاده شده است. در زمینهی تخصیص منابع مثالهای عملی زیادی وجود ندارند. در این مقاله کتابخانههای دانشگاه آزاد اسلامی مشهد مورد ارزیابی قرار گرفته و منابع جدیدی به آنها تخصیص خواهد یافت. منابعی که باید تخصیص یابند، مربوط به ورودی نامطلوب هستند. مدل ارائه شده علاوه بر در نظر گرفتن این موضوع، قادر است شرایط ویژهی مورد نظر مدیران (مانند حداقل و حداکثر منابعی که باید تخصیص یابند و استاندارد کتابخانهای به همراه کنترل وزن اعمال شده از جانب آنها) را اعمال کند. در نهایت بهترین تخصیصها با توجه به شرایط گوناگون بدست آمده و با یکدیگر مقایسه شدهاند. Manuscript profile -
Open Access Article
9 - Estimation of cost efficiency for firms in different technologies using data envelopment analysis
Mohsen Hekmatnia Alireza Amirteimoori Sohrab Kordrostami Mohsen Vaez-GhasemiData envelopment analysis (DEA) is a method for evaluating the relative efficiency of a set of firms in a production process. Estimation of cost efficiency is one of the branches of performance evaluation. Cost efficiency evaluates the ability of producing current outpu MoreData envelopment analysis (DEA) is a method for evaluating the relative efficiency of a set of firms in a production process. Estimation of cost efficiency is one of the branches of performance evaluation. Cost efficiency evaluates the ability of producing current output with minimum available cost. Now let's assume that there are several groups of firms that operate separately and have different technologies, but are centrally managed, or in other words, their source of raw materials is shared, but each of these groups has different costs for these resources. Traditional DEA models do not offer any suggestions for calculating the cost efficiency in such situations where firms are grouped into different technological groups and the input's costs are different. In this paper, using the concepts of cost efficiency and meta-frontier and using the rational relation between cost efficiency and technical efficiency, a method is proposed to calculate the cost efficiency of firms in different technological conditions. There is also a way to use the transfer of units to improve their performance. The method presented in this study is used in a numerical example and a real case application and their results are explained. Manuscript profile -
Open Access Article
10 - Evaluation of Students' Performance before and after Parent Involvement in Math Educaton with DEA
S. E. Haghi M. Rostamy-Malkhalifeh M. H. Behzadi A. ShahvaraniThis paper describes two proposed strategies for involving families in mathematics education and forming a mathematical association for parents with the aim of involving parents in their children's mathematics education, implemented at one of the Tehran schools, describ MoreThis paper describes two proposed strategies for involving families in mathematics education and forming a mathematical association for parents with the aim of involving parents in their children's mathematics education, implemented at one of the Tehran schools, describing the outcomes and performance of students before and after school. They were analyzed using Data Envelopment Analysis (DEA).Data Envelopment Analysis (DEA) is a linear programming method whose main purpose is to compare and evaluate the efficiency of a number of similar decision-making units, to compare and analyze them with different amounts of inputs and outputs.In this research, inputs on various aspects of cultural, social, and economic conditions (such as family income, physical and mental health of family members, parents' occupation, etc.) of families of sixth grade elementary school boy students in TALAYEDARAN school, district 4 of Tehran, and outputs The success of the math test is the interest of the students in these math activities in math lessons and ethical discipline Manuscript profile -
Open Access Article
11 - Ranking Decision Making units in Data Envelopment Analysis based on cooperative games
sanaz asadi rahmati Reza FallahnejadEvaluation of decision-making units is very importantin economic and management systems. Data envelopment analysis is one of the scientific and practical techniques for evaluating decision making units. In the conventional models of data envelopment analysis, the units MoreEvaluation of decision-making units is very importantin economic and management systems. Data envelopment analysis is one of the scientific and practical techniques for evaluating decision making units. In the conventional models of data envelopment analysis, the units are divided into efficient and inefficient categories, where the efficiency of each efficient unit is one and there is no distinction between efficient units.This study intends to propose a new way of ranking efficient units based on the concepts of cooperative game. The proposed method is that efficient units are considered as players of a cooperative game. A subset of these players is defined as the coalitionS.Then the sum of the efficiency of the inefficient units according to the production possibility set that is created by the inefficient units and the members of the coalitionS is defined as the characteristic function of S, which is used to determine the marginal effect of the efficient units in the various coalitions. Finally, the Shapley value is used to determine the cooperative game solution and rank the efficient units.In the same way that it is able to rank non-extreme units, inefficient units are also effective in ranking, alsois feasiblein any circumstances of return to scale. Manuscript profile -
Open Access Article
12 - Providing a model for evaluate the efficiency of supply chain based on information flow using fuzzy network data envelopment analysis
tahmineh Noohi tehrani maryam shoar saber saati mohtadiRapid development toward globalization, a competitive market, significant technological advances, and high customer expectations have encouraged companies to reduce costs and increase their competitive advantage. One of the things that can help companies achieve a compe MoreRapid development toward globalization, a competitive market, significant technological advances, and high customer expectations have encouraged companies to reduce costs and increase their competitive advantage. One of the things that can help companies achieve a competitive advantage is supply chain management. Information acts as an intermediary between all activities and operations within the supply chain. The innovation of this research can be shown in two aspects of application and modeling. In terms of application, with a review of the literature and investigating the application of multi-stage and network data development analysis in the supply chain, it was revealed that so far, the efficiency of financial and physical flows in the literature has been evaluated more and the indicators are mostly related to two financial and physical flows in the supply chain, therefore there is more research opportunity to evaluate the efficiency of information flow within the supply chain. Measuring the efficiency of information flow should be an integral part of supply chain management. Therefore, this research aimed to present a model to evaluate the efficiency of information flow in the supply chain. In terms of mathematical modeling, research innovation is considering the model of the network and reversible relationship in the supply chain. With a review of the literature, the indicators are investigated to evaluate the efficiency of information flow in the supply chain, and the validity of indicators is examined by the fuzzy Delphi method. Then the decision making unit and inputs and outputs of the model are introduced. In this research, the fuzzy network data envelopment analysis is used. In order to implement the models, we used the GAMS software. Manuscript profile -
Open Access Article
13 - Determining the Russell Technical Efficiency of measure in the Presence of Flexible Factors based on slack variables
Majid Sedighi Hassan Kiyadeh Saber Saati Mohtadi Sohrab KordrostamiThe role of some factors is not completely clear as an input or an output in many real applications of Data Envelopment Analysis (DEA). In other words, some Decision Making Units (DMUs) can use a factor as an input while it may play an output role in other DMUs. This ty MoreThe role of some factors is not completely clear as an input or an output in many real applications of Data Envelopment Analysis (DEA). In other words, some Decision Making Units (DMUs) can use a factor as an input while it may play an output role in other DMUs. This type of factors is called flexible factors. In this paper, a model is proposed to develop models of flexible factors type in the DEA model. This model, at the same time, minimizes the inputs contraction factor and maximizes the outputs expansion factor in the Russell efficiency measure, in presence of flexible factors. The proposed measure in objective function is linear. In the other words, the relation between the factors is suggested as an additive function. In fact, the proposed model, in contrast the Russell measure is not nonlinear. By an illustrated example, the proposed model is compared with the existing models. Manuscript profile -
Open Access Article
14 - Designing a mathematical model for measuring credit risk by credit rating using data coverage analysis model
farid heidarifar farhad hanifi gholamreza zomorodianAn efficient banking system is the most effective means for economic development, and the most important task of banks is to allocate resources in the form of banking facilities, and the design and establishment of the credit rating model has an effective role in increa MoreAn efficient banking system is the most effective means for economic development, and the most important task of banks is to allocate resources in the form of banking facilities, and the design and establishment of the credit rating model has an effective role in increasing the efficiency of banks in equipping resources. In the current research, the design and explanation of the credit rating model was done using the data envelopment analysis model. Statistical sample related to the information of legal clients admitted to the stock exchange and receiving facilities from Tejarat Bank during the years 2018 to 2019; expressed In this context, 30 explanatory variables including financial and non-financial variables were examined. Among the available variables, finally, using the factor analysis technique and Delphi method, the variables affecting credit risk were selected and entered into the data coverage analysis model, and the efficiency scores of law firms were obtained using them. The results of the comparison of two data coverage analysis models indicate that the validity of the financial model is 0.072 more than the combined model. In the financial approach, 7 companies were efficient and in the combined approach, 12 companies were recognized as efficient. Manuscript profile -
Open Access Article
15 - Measuring the cost efficiency in NDEA
Shahruz Fathi Ajirlu Alireza Amirteimoori Sohrab KordrostamiData Envelopment Analysis (DEA) is a relatively new data oriented approach for evaluating the performance of a set of peer entities called Decision-Making Units (DMUs) which convert multiple inputs into multiple outputs. In a relatively short period of time DEA has grow MoreData Envelopment Analysis (DEA) is a relatively new data oriented approach for evaluating the performance of a set of peer entities called Decision-Making Units (DMUs) which convert multiple inputs into multiple outputs. In a relatively short period of time DEA has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. DEA has been successfully applied to a host of different types of entities engaged in a wide variety of activities in many contexts worldwide. The issue of measuring the cost efficiency in manufacturing and economic systems is one of the most important issues in the world. In the real world, there are manufacturing and economic systems that are composed of independent units. One of the ways to measure the cost efficiency for economic and production systems is the DEA technique. This paper presents two network DEA models to measure the cost efficiency of a network model with identical processing components taking into account the individual processing functions in the network structure. In this paper, we examine the cost efficieny model of Färe et al., and through modifying the model of Färe et al., a model has been developed to measure the cost efficiency in economic and manufacturing networks. Manuscript profile -
Open Access Article
16 - Evaluating and classifying the insurers risk in the insurance industry using data envelopment analysis
Seyyedeh Nasim Shobeiri Mohsen Rostamy- Malkhalifeh Hashem Nikoomaram Mohammadreza Miri LavasaniOne of the most important factors for the economic development of countries is the insurance industry.A closer look at the economies of Developed Countries shows that the insurance industry has a significant contribution in the economic development of these countries. T MoreOne of the most important factors for the economic development of countries is the insurance industry.A closer look at the economies of Developed Countries shows that the insurance industry has a significant contribution in the economic development of these countries. The insurance industry needs to accept the risk in order to carry out any insurance activity. In the other word, the insurance companies create tranquillity in the society by accepting the risk. On the other hand, the insurance companies need to access to the powerful risk analysis tools in order to manage the potential risks. Data envelopment analysis (DEA) is one of the most important techniques to identify the risk resources. Hence, data envelopment analysis is widely used in the insurance industry. This study uses the dataset of the car insurance policies of Saman Insurance Company during the years 2018-2019. First, we identify the effective indicators and examine the properties of these indicators to classify them into input and output groups. Finally, we use data envelopment analysis to propose a model for predictionthe risk of insurers (in terms of existence of damage risk or absence of damage risk). This model can be used in the future policies of the insurance company. For example, the insurance companies can use the results of data envelopment analysis to adjust the premiums received from different insurers and increase the satisfaction for insurers and their profitability by creating a rating system based on the insurers 'risk. Manuscript profile -
Open Access Article
17 - Provide a mathematical model for selecting suppliers in the supply chain based on profit efficiency calculations
H. Saleh F. Hosseinzadeh Lotfi M. Rostmay-Malkhalifeh M. ShafieeOne of the most important issues in managers' decisions is supplier selection and supply chain evaluation. Therefore, several studies have been conducted on supplier selection and evaluation by data envelopment analysis. But studies so far have focused on selecting supp MoreOne of the most important issues in managers' decisions is supplier selection and supply chain evaluation. Therefore, several studies have been conducted on supplier selection and evaluation by data envelopment analysis. But studies so far have focused on selecting suppliers and evaluating them. And there is no way to determine the number of suppliers in a supply chain. Therefore, in this article, we first express the concept of profit efficiency for supply chains and using the proposed model in this paper, the number and type of suppliers in a supply chain are determined simultaneously. Finally, 10 "supply chains" in the food industry were examined and the profit efficiency of each of them was calculated using the proposed model in this article, and then the number and type of suppliers in each chain were determined. Manuscript profile -
Open Access Article
18 - رویکرد معادلسازی دورهای با دادههای بازهای در ارزیابی کارایی پویا شبکههای چند مرحله-ای
Alireza Ebrahimi Baqa Farhad Hossein Zadeh Lotfi Alireza Amir Timuri Mohsen Rostami malKhalifeدر این مقاله ارزیابی کارایی دینامیکی واحدهایی با ساختارشبکهای چندمرحلهای تحت دادههای بازهای برای مدلهای تحلیل پوششی شبکهای(NDEA) انجام میشود. هدف این مطالعه مدلسازی با ایده معادلسازی دورهای به منظور ارزیابی میزان کارایی پویا زیرساختارها و شبکه نهایی، با داد Moreدر این مقاله ارزیابی کارایی دینامیکی واحدهایی با ساختارشبکهای چندمرحلهای تحت دادههای بازهای برای مدلهای تحلیل پوششی شبکهای(NDEA) انجام میشود. هدف این مطالعه مدلسازی با ایده معادلسازی دورهای به منظور ارزیابی میزان کارایی پویا زیرساختارها و شبکه نهایی، با دادههای بازهای در دورههای زمانی معین میباشد. مدل پیشنهادی این پژوهش، یک مدل غیرشعاعی با تکنولوژی تعریف شده و بر اساس الگوی واحد کارای قوی در قالب یک شبکه تبدیلی مجازی است که قابلیت ارزیابی چندین زیر فرایند را دارد. همچنین این مدل تعامل و ارتباط بین زیر فرایندها و کل شبکه را در هر مرحله و هر دوره به صورت تام در نظر میگیرد و بر اساس دادههای بازهای، کارایی شبکه نهایی (شبکه کل) و زیرفرایندها را دریک بازه، محاسبه می-نماید. این مدل مناسبات و تنظیمات بین زیر فرایندها را در یک ساختار شبکهای چند مرحلهای پویا، برای کارا شدن فراهم می-نماید. همچنین با یک مثال کاربردی بر مبنای ایده این پژوهش و مدلهای استنتاجی آن، کارایی دینامیکی در یک دوره چهار ساله در واحدهای تولیدی با دادههای بازهای وکراندار مورد ارزیابی و سنجش قرار گرفته است. Manuscript profile -
Open Access Article
19 - Designing a Dynamic two-stage data envelopment analysis model to calculate partial and periodic efficiency
Reza Soleymani-DamanehThe measurement of organizational efficiency has always been discussed by various researchers. Data envelopment analysis, taking the inputs and outputs of the decision-making units into account, makes it possible to calculate the relative efficiency for each unit. Many MoreThe measurement of organizational efficiency has always been discussed by various researchers. Data envelopment analysis, taking the inputs and outputs of the decision-making units into account, makes it possible to calculate the relative efficiency for each unit. Many organizations have a two-stage structure, and their performance in successive periods depends on each other. In evaluating such a structure, partial and periodic efficiency must be calculated. Early models and network and dynamic models are not able to calculate this performance alone. Models of existing dynamic networks are also unable to provide a projection for inefficient units or solve all challenges. In this study, by defining the PPS, an input-oriented dynamic two-stage DEA was developed. In this model, the optimal value of the intermediate and carryover variables is determined by the next stage and period, and the stages and periods become efficient backward from the last stage of the last period. In addition to the total structure, the model makes efficient all stages and periods and only becomes an efficient unit if it is efficient in all stages and periods. It was also proved that the projection of the unit to be evaluated is partial, periodic, and total efficient. How to use the model to calculate efficiency was expressed by a practical three periodical example. Manuscript profile -
Open Access Article
20 - An enhanced Russell model to measure aggregate efficiency of multi-period production systems
Mohammad Najari Alamouti Mohsen Khounsiavash Reza Kazimi Matin Zohreh MoghaddasPerformance evaluation of the production systems by considering data related to different time periods is one of the most important issues of production theory. In this paper, a new method for measuring the aggregative efficiency of multi-period production systems using MorePerformance evaluation of the production systems by considering data related to different time periods is one of the most important issues of production theory. In this paper, a new method for measuring the aggregative efficiency of multi-period production systems using the data envelopment analysis (DEA) technique is proposed. The provided approach could be considered as extension of the radial methods in the literature. An extended Russell based model is presented for the first time to measure aggregative efficiency with respect to the time intervals of the production stages. One of the useful features of the proposed model is that the inefficiency of the existing aggregative approach is detected in one step without need to account for the second stage of optimizing slack variables. Some properties and advantages of the new model is discussed. Finally, to illustrate the applicability of the new approach, two practical examples are investigated and analyzed. The results show the good performance of the proposed method. Manuscript profile -
Open Access Article
21 - Resource Allocation in Data Envelopment Analysis on Fuzzy inputs and outputs
Esmat Noroozi Hamid SHarafiAbstract: Data envelopment analysis technique is used to evaluate the relative efficiency of a set of decision-making units that have been studied in different fields. One of the important issues in data envelopment analysis is sensitivity analysis. Many articles have b MoreAbstract: Data envelopment analysis technique is used to evaluate the relative efficiency of a set of decision-making units that have been studied in different fields. One of the important issues in data envelopment analysis is sensitivity analysis. Many articles have been presented in this field by researchers, sometimes managers are concentrating on issues that would be critical to allocate a fixed cost to decision-making units. Since in real problems the primary data are not precise but interval, ordinal, and qualitative therefore this study have been discussed this issue and present a model for assigning a fuzzy fixed cost to decision-making units. Moreover, the inputs and outputs of all units are assumed to be fuzzy and the allocation of new costs should be such that the highest number of inefficient units become efficient. At the end, this model has been utilized in two numerical examples and the results have been presented. Manuscript profile -
Open Access Article
22 - Measuring Inefficiency Slacks of Network Systems in the presence of Shared Resources
Hossein Azizi Shahruz Fathi AjirluPerformance evaluation is one of the important tasks of management in order to better understand the ‎past successes of a manufacturing unit and plan for its future development. The goal is to determine ‎whether the unit can be expected to increase its output wi MorePerformance evaluation is one of the important tasks of management in order to better understand the ‎past successes of a manufacturing unit and plan for its future development. The goal is to determine ‎whether the unit can be expected to increase its output with current input, or while maintaining the ‎current production output, how much savings in input can be made merely by increasing efficiency. A ‎system is usually composed of multiple parts, each with a specific function. When we are interested in ‎the performance of the system as a whole unit, where only inputs coming into the system and outputs ‎going out of the system are considered, it is called whole unit or black box analysis, because how ‎inputs are converted into outputs through intermediate products is not considered. The whole unit ‎analysis provides a general idea of the performance of a unit. However, since the system usually ‎consists of several interrelated parts, ignoring the functions of constituent parts may cause misleading ‎results. To properly evaluate the performance of a system, this article proposes a set of additive ‎models. The proposed models measure the inefficiency slacks of a system from both optimistic and ‎pessimistic views. Therefore, an overall performance evaluation for each system is obtained. An ‎example of the banking industry in Iran is offered to explain how to calculate the inefficiency slacks ‎of the system and processes.‎ Manuscript profile -
Open Access Article
23 - Cost Efficiency of Closed–Loop Supply Chain in the Presence of Dual-Role and Undesirable Factors
M. Jahani Sayyad Noveiri S. Kordrostami A.R. AmirteimooriSupply chain management is essential for the success of firms and customer satisfaction. In addition, a suitable performance evaluation system is vital to the effective management of the supply chain. Due to the importance of cost management in the supply chain, an appr MoreSupply chain management is essential for the success of firms and customer satisfaction. In addition, a suitable performance evaluation system is vital to the effective management of the supply chain. Due to the importance of cost management in the supply chain, an approach based on Data Envelopment Analysis (DEA) is proposed in the current study for evaluating the cost efficiency of closed-loop supply chains while dual-role factors and undesirable outputs exist. DEA is a beneficial mathematical programming method for evaluating and analyzing the relative efficiency of decision maker units with multiple inputs and outputs. Indeed, in this study, the cost efficiency scores of supply chains with three components, supplier, manufacturer and repair and recycling, as well as forward and reverse flows are measured using DEA technique. The assumption of weak disposability on undesirable outputs is considered. Also, a case study is provided to illustrate and to analyze the proposed method. The results show a correct identification of the role of the factors and the incorporation of the undesirable and reversible factors in supply chain systems play the important role in the correct calculation of the cost efficiency in each of components and whole supply chain. Moreover, in the introduced method, the overall cost efficiency can be represented as the weighted sum of the cost efficiency of components. Manuscript profile -
Open Access Article
24 - Weighted Optimal Path in Graph with Multiple Indexes
M. Nikjoo F. Rezai BalfThis paper represents a technique for finding optimal paths with multiple indexes in a graph. Up to the present time, all optimal paths have been determined upon one index, say, distance for which an evaluation method exists. In this paper firstly we define multiple ind MoreThis paper represents a technique for finding optimal paths with multiple indexes in a graph. Up to the present time, all optimal paths have been determined upon one index, say, distance for which an evaluation method exists. In this paper firstly we define multiple indexes for each edge in such a way that anyone can treat the factor for assigning an optimal path. Here, we use Data Envelopment Analysis (DEA) technique for designing a model that can identify optimal paths with multiple indexes, and separate them from the other paths. Manuscript profile -
Open Access Article
25 - Measuring robust overall profit efficiency with uncertainty in input and output price vectors
M.A. Raayatpanah N. AghayiaThe classic overall profit needs precise information of inputs, outputs, inputs and outputs price vectors. In real word, all data are not certain. Therefore, in this case, stochastic and fuzzy methods use for measuring overall profit efficiency. These methods require mo MoreThe classic overall profit needs precise information of inputs, outputs, inputs and outputs price vectors. In real word, all data are not certain. Therefore, in this case, stochastic and fuzzy methods use for measuring overall profit efficiency. These methods require more information about the data such as probability distribution function or data membership function, which in some cases may not have sufficient information to estimate them, and only we have knowledge about the parameters so that they change in a convex space that is closed and bounded. Therefore, in this paper, we consider a budget uncertainty model in the robust optimization problem that able to adjust the conservative degree. The robust model by the input and output price vectors is proposed to compute overall profit efficiency measure. To illustrate the application of the proposed method, a numerical example is presented and the results show that the robust overall efficiency of the decision making units is higher than the optimistic model. Manuscript profile -
Open Access Article
26 - Bank branches efficiency assessment using dynamic data envelopment analysis approach to SBM
M. ShafieeA new approach or model to the dynamic DEA, referred to as the adjusted dynamic DEA, is proposed in this study. Adjusted dynamic DEA optimizes the production activity of DMUs by introducing adjustment variables to modify the interconnecting activities between consecutiv MoreA new approach or model to the dynamic DEA, referred to as the adjusted dynamic DEA, is proposed in this study. Adjusted dynamic DEA optimizes the production activity of DMUs by introducing adjustment variables to modify the interconnecting activities between consecutive terms, solving conflicts that arise between terms and between management and shareholders. The non-oriented SBM model is used as a base model and is extended to the adjusted dynamic framework, where adjustment variables are introduced. In order to examine the applicability of the proposed method, the model is applied to evaluate the efficiency of ten branches of ten branches of an Iranian bank during three consecutive terms. The adjusted dynamic SBM model under variable return to scale (VRS) is solved and reference units for each inefficient DMU are identified. In addition, the slacks and adjustment variables are analyzed and further suggestions about the efficient conditions to the management are provided. Manuscript profile -
Open Access Article
27 - Ranking Efficient DMUs in Two-stage Network DEA with Common Weights method
M. Ahadzadeh namin E. KhamsehTwo stages DEA models are used in many fields of management and industry. One of the concepts that has attracted the attention of researchers in the theory of production is the concept of ranking the units with a two-stage network. A unit ranking can provide useful info MoreTwo stages DEA models are used in many fields of management and industry. One of the concepts that has attracted the attention of researchers in the theory of production is the concept of ranking the units with a two-stage network. A unit ranking can provide useful information to decision makers (DMUs) about optimal decision making activities. This concept defines the superiority of a unit in terms of efficiency and effectiveness on other units. The calculation of the efficiency of the units in the two-stage DEA network was performed, and the efficiency of the two-stage unit could be a suitable criterion for ranking one unit. But the main problem is the time when some efficient units all rank as one. So far, there is no linear model for solving this problem.The purpose of this research is to provide a model for ranking of effecient units using the common weight method in a two-stage DEA network. Manuscript profile -
Open Access Article
28 - Modified Goal Programming Approach for Improving the Discrimination Power and Weights Dispersion
Sahand Daneshvar Nazila Shahi Fariba NajafzadehData envelopment analysis (DEA) is a technique based on linear programming (LP) to measure the relative efficiency of homogeneous units by considering inputs and outputs. The lack of discrimination among efficient decision making units (DMUs) and unrealistic input-outpu MoreData envelopment analysis (DEA) is a technique based on linear programming (LP) to measure the relative efficiency of homogeneous units by considering inputs and outputs. The lack of discrimination among efficient decision making units (DMUs) and unrealistic input-outputs weights have been known as the drawback of DEA. In this paper the new scheme based on a goal programming data envelopment analysis (GPDEA) are developed to moderate the homogeneity and reasonability of weights distribution by using of facet analysis On GPDEA (GPDEA-CCR and GPDEA-BCC) models. These modifications are done by considering the lower bounds for each individual inputs and outputs weights in standard CCR model and an upper bound just for free variable of standard BCC model. In the both of the cases the mentioned modification preserved the inputs and outputs weights from zero value. The modified GPDEA models also improve the discrimination power of DEA. The advantages of each modified GPDEA-CCR and GPDEA-BCC models are shown by some examples. Manuscript profile -
Open Access Article
29 - Ranking of decision making units based on cross efficiency by undesirable outputs and uncertainity
N. AghayiCross efficiency is one of the useful methods for ranking of decision making units (DMUs) in data envelopment analysis (DEA). Since the optimal solutions of inputs and outputs weights are not unique so the selection of them are not simple and the ranks of DMUs can be ch MoreCross efficiency is one of the useful methods for ranking of decision making units (DMUs) in data envelopment analysis (DEA). Since the optimal solutions of inputs and outputs weights are not unique so the selection of them are not simple and the ranks of DMUs can be changed by the difference weights. Thus, in this paper, we introduce a method for ranking of DMUs which does not have a unique problem. In the real life, the outputs can be shown as desirable and undesirable outputs. So it is important to provide models for the ranking of DMUs in present of desirable and undesirable outputs. The classic DEA models deals with certain data. But, in the real word, all data are not necessarily certain. For solve of this problem, we present a new method that compute the ranks of all DMUs by uncertain data and calculate the lower and upper bounds for the ranks of DMUs. Finally, the results of a simple example are given. Manuscript profile -
Open Access Article
30 - Uniquely classifying flexible measures by a CWS model
m. korzedin m. mirboloukiData Envelopment Analysis (DEA) deals with evaluating a set of decision-making units (DMUs) based on nonparametric mathematical approaches. In classical DEA models, the given set of factors of DMUs is divided into two categories, inputs and outputs, while in some practi MoreData Envelopment Analysis (DEA) deals with evaluating a set of decision-making units (DMUs) based on nonparametric mathematical approaches. In classical DEA models, the given set of factors of DMUs is divided into two categories, inputs and outputs, while in some practical problems there are some measures whose membership to these categories is unclear. It means these factors treat different input or output roll for various DMUs. This kind of factors is known as a flexible measure. The proposed models for this purpose are DMU-oriented in which each DMU evaluate its efficiency and classify flexible measures for all other DMUs regards to its benefit. This classification may not be optimal for every DMUs. In this paper, we present a model based on a common set of weights (CSW). The advantage of the proposed model is to classify flexible measures uniquely for all DMUs. At the end of paper, the proposed model is applied in an example of wind power farms. Manuscript profile -
Open Access Article
31 - Utilizing Monte Carlo Method for Ranking Extreme Efficient Units in Data Envelopment Analysis
Gh-R .Jahanshahloo M. Zahedi-SereshtData envelopment analysis (DEA) is a mathematical programming method for calculatingefficiency of decision making units (DMU). In calculating the efficiency score of unitsthrough DEA we may come up with some efficient units. But the question is among theseefficient unit MoreData envelopment analysis (DEA) is a mathematical programming method for calculatingefficiency of decision making units (DMU). In calculating the efficiency score of unitsthrough DEA we may come up with some efficient units. But the question is among theseefficient units which of them is better. As we know, it is possible to rank inefficient unitsthrough efficiency score; however, for ranking efficient units it is not helpful and othermethods should be developed in these regards. To obviate this problem there have been somany attempts in the literature which have their pros and cons. Cross-efficiency method wasfirst introduced by Sexon et al. for ranking efficient units. The major problem of this methodis alternative optimal solutions in each model which must be solved for each DMU. Anotherproblem of this method is dependency of obtained solutions on the solution obtained by otherunits. Another method which has widely been used is super efficiency, presented byAnderson and Petersen. There are several flaws in their suggested method. Infeasibility,instability, dependency of the model on the input and output orientation and non-zero slackvariables are the weaknesses of this method which may occur in specific problems. Thisarticle is an attempt to present a method which does not have the aforementioned problemsand can be utilized to calculate the rank of extreme efficient units through using the Hit orMiss Monte Carlo method. At the end of the article some examples are made in order to showthe efficiency of the presented method. Manuscript profile -
Open Access Article
32 - A DEA approach for investigating the effect of computerized maintenance management system on staff productivity: A case Study
M. Soltani A. Hadi-VenchehAccording to the growing trend of IT-based systems, implementation of computerized maintenance management system (CMMS) in Iran’s power industry can dramatically help in optimized management of maintenance activities, and thereby, reducing equipment failures, incr MoreAccording to the growing trend of IT-based systems, implementation of computerized maintenance management system (CMMS) in Iran’s power industry can dramatically help in optimized management of maintenance activities, and thereby, reducing equipment failures, increasing reliability, increasing product stability and, above all, increasing efficiency and productivity of the employees of this industry. The aim of this article was to examine the impact of computerizing the maintenance and repair process on efficiency of the staff of Isfahan south power plant, measure the efficiency of staff, identification of efficient and inefficient staff, rating of efficient staff, and finally, to investigate and compare the effect of factors influencing their efficiency to increase the organization productivity with job satisfaction approach. To do this, after identifying factors contributing to job satisfaction of employees through questionnaires distributed among 40 employees associated with CMMS, a DEA including four job satisfaction inputs and outputs was defined. With solving the model by CCR method, the efficient and inefficient employees were determined. The results of sensitivity analysis on model inputs determined the effect of each input on the output in accordance with the following ranking:1. Workplace safety and ergonomics2. Computerizing maintenance management system (CMMS)3. Training4. Job natureThe results indicated that the CMMS has the second ranking among other influential factors. Finally, the efficient personnel were ranked by Anderson Peterson method Manuscript profile -
Open Access Article
33 - Bankruptcy Assessment with the Interval Programming and Games Theory
A. Batamiz M. AllahdadiSome of the parameters in issues of the reality world are uncertainty. One of the uncertain problems with the qualitative parameters is economic problems such as bankruptcy problem. In this case, there is a probability of dealing with imprecise concepts including the in MoreSome of the parameters in issues of the reality world are uncertainty. One of the uncertain problems with the qualitative parameters is economic problems such as bankruptcy problem. In this case, there is a probability of dealing with imprecise concepts including the intervals regarding the official’s viewpoint, organizations’ managers. Accordingly, this article uses the concepts of data envelopment analysis (DEA) game theory’ applications that it is appeared in all areas of studies, and combining it with uncertainty models like intervals, assess bankruptcy and specify the pessimistic and optimistic interval for bankruptcy assessment that hep us to assess uncertain concepts in economics and in the problems that we have certain, converting to interval programming a, is studied problems simply. Manuscript profile -
Open Access Article
34 - Supplier Selection in Supply Chain Management by Data Envelopment Analysis
Z. Moghaddas M. Vaez-Ghasemi B. Rahnama ParchekoaleiNowadays, managing a supply chain is turned to be one of the fundamentals of business process. In doing so, investigating and analyzing each and every of the processes and selecting the best of each process is an important challenge for strategic managers. In this paper MoreNowadays, managing a supply chain is turned to be one of the fundamentals of business process. In doing so, investigating and analyzing each and every of the processes and selecting the best of each process is an important challenge for strategic managers. In this paper Data Envelopment Analysis (DEA) technique is used and a model is provided for selecting the best suppliers with flexible inputs and outputs. Here, suppliers according to the different requirements of the next stage can be flexible for providing the already forecasting alterations. As an instance, transporting one of the flexible outputs can be considered which can be sent from the earth, sea, or the air. This has the direct effect on the selection of the best suppliers and according to this selection the new chain will be selected in accordance to the requirements of the whole chain. In this paper, according to DEA models and the binary algorithm, a new model will be presented for suppliers. Manuscript profile -
Open Access Article
35 - Total and Partial efficiency indexes in data envelopment analysis
S. Kordrostami A.R AmirteimooriIntroduction: Data envelopment analysis (DEA) is a data-oriented method for measuring and benchmarking the relative efficiency of peer decision making units (DMUs) with multiple inputs and multiple outputs. DEA was initiated in 1978 when Charnes, Cooper and Rhodes (CCR) MoreIntroduction: Data envelopment analysis (DEA) is a data-oriented method for measuring and benchmarking the relative efficiency of peer decision making units (DMUs) with multiple inputs and multiple outputs. DEA was initiated in 1978 when Charnes, Cooper and Rhodes (CCR) demonstrated how to change a fractional linear measure of efficiency into a linear programming format. This non-parametric approach solves an LP formulation per DMU to obtain an aggregate efficiency score to each DMU. A new variety of efficiency as partial efficiency has been faced in this paper. Aim: The current paper studies the problem of partial efficiency in DEA. By using a DEA model, the paper determines a sharing matrix of inputs to optimize the aggregate efficiency of DMU under consideration. Material and methods: Toward this end, we have used the well-known non-parametric technique DEA. Results: In this paper, we introduced a DEA model to (i) maximize the aggregate efficiency score and (ii) to determine the partial efficiency of each output. Conclusion: Traditional DEA models give an overall efficiency score to each operational unit based on the observed inputs and outputs. In the current study, new efficiency indexes are introduced. These partial indexes are referred to as partial efficiency of outputs. The paper gives the best resource allocation to maximize the aggregate efficiency of DMUs. Manuscript profile -
Open Access Article
36 - Finding the most efficient decision making unit in data envelopment Analysis
J. VakiliAlthough discriminating between all efficient decision making units (DMUs) with identical efficiency is a very important subject in data envelopment analysis (DEA), it may not be an easy task, particularly when the decision maker wants to select one and only one efficie MoreAlthough discriminating between all efficient decision making units (DMUs) with identical efficiency is a very important subject in data envelopment analysis (DEA), it may not be an easy task, particularly when the decision maker wants to select one and only one efficient DMU among all. There are some papers that have proposed methods for finding an efficient DMU as the most efficient one but have some difficulties when used in practice. This paper points out the difficulties of the methods presented in two articles [Amin, G. R., (2009). Comments on finding the most efficient DMUs in DEA: An improved integrated model. Computers and Industrial Engineering 56, 1701-1702; Toloo, M., Nalchigar, S., (2009). A new integrated DEA model for finding most BCC-efficient DMU. Applied Mathematical Modelling, 33, 597-604]. In fact, in the present paper, it is proved by some examples that although some methods have principally been proposed in order to determine a single efficient DMU as the most efficient one, they may be unable to detect these DMUs. Manuscript profile -
Open Access Article
37 - Probability-possibility DEA model with Fuzzy random data in presence of skew-Normal distribution
B. Mehrasa M. H. BehzadiData envelopment analysis (DEA) is a mathematical method to evaluate the performance of decision-making units (DMU). In the performance evaluation of an organization based on the classical theory of DEA, input and output data are assumed to be deterministic, while in th MoreData envelopment analysis (DEA) is a mathematical method to evaluate the performance of decision-making units (DMU). In the performance evaluation of an organization based on the classical theory of DEA, input and output data are assumed to be deterministic, while in the real world, the observed values of the inputs and outputs data are mainly fuzzy and random. A normal distribution is a continuous distribution which is extremely important in statistics because of its behavior.It is assumed in most cases that fuzzy random data are normally distributed, while such an assumption may not hold in practice. Therefore, using the normal distribution leads to erroneous conclusions. In the present study, we investigated DEA fuzzy random model under condition of probability -possibility, in the presence of a skew-normal distribution.In other words, this method embraced the previous methods in a specific state. Finally, a set of numerical example is presented to demonstrate the efficacy of procedure and algorithm. Manuscript profile -
Open Access Article
38 - The proposed cost and profit models in presence of flexible measures
F. Matroud Gh. TohidiIn conventional DEA, measures are classified as either input or output. However, in some real cases there are variables whose status is not known as input or output before assessment. These variable are known as flexible measures. One of the most important economic dim MoreIn conventional DEA, measures are classified as either input or output. However, in some real cases there are variables whose status is not known as input or output before assessment. These variable are known as flexible measures. One of the most important economic dimensions for ensuring the success of a company is the efficiency with which it uses its resources. Therefore, centering on Assessment costs and profit of financial institutions is an important issue. Aware of the importance of this subject, we propose the cost and profit efficiency model in presence of flexible measures due to the many application of these variables in real world. The proposed models determine the status of each flexible measure as an input or output statue and simultaneously maximize profit/minimize cost in profit/cost model. In order to evaluate the capability model the proposed model are applied to a real-life data set of 50 U.S. banks. Manuscript profile -
Open Access Article
39 - Two-stage network DEA-R based on value efficiency
M.R. MozaffariIt is essential for most organizations and financial institutes to be able to evaluate their decision-making units (DMUs), when there is only a ratio of inputs to outputs (or vice versa) available. In this paper, we will propose our two-stage DEA-R models, which are a c MoreIt is essential for most organizations and financial institutes to be able to evaluate their decision-making units (DMUs), when there is only a ratio of inputs to outputs (or vice versa) available. In this paper, we will propose our two-stage DEA-R models, which are a combination of data envelopment analysis and ratio data, based on value efficiency. Integrating value efficiency into data envelopment analysis would lead to identification of units with the highest productivity, from the manager’s perspective. Considering the managers’ opinions in DEA models in order to measure value efficiency would be an interactive method of DMU evaluation. generally, this study will suggest some two-stage DEA-R models, introducing the most productive units from the managers’ viewpoints. In the end, the obtained value efficiency will be our criterion for evaluation of DMUs in two-stage networks with ratio data. Manuscript profile -
Open Access Article
40 - Efficiency and Effectiveness with interval indices in stochastic environments
S. kazem nadi M. Rostamy malkhalifeNon-parametric DEA is a technique on the basic of mathematical programming to determine the efficiency of homological decision making units. DEA models changes in demand cause changes in variations in output levels and also will cause changes in a firm’s inefficie MoreNon-parametric DEA is a technique on the basic of mathematical programming to determine the efficiency of homological decision making units. DEA models changes in demand cause changes in variations in output levels and also will cause changes in a firm’s inefficiency. Often a firm can adjust input influencing on the output level. Models designed with technique on DEA that considers changes in demand and with a short-run capacity planning method quantifies the effectiveness of a firm’s production system under demand uncertainty. The DEA is assumed that accurate data input, output and demand. In some cases data observed with a difference or mistake, so the uncertainties involved in achieving predetermined goals. To measure the effectiveness of the techniques DEA data is important in the evaluation of uncertainty. Data input, output and demand can be interval and probable and order, ect. This paper focuse uncertain data that it is interval and models will be propone for calculation effectiveness and the effect of uncertain demand with interval data. Manuscript profile -
Open Access Article
41 - finding the defining hyperplanes of production possibility set with variable returns to scale using the linear independent vectors
N. Rafati-‎Maleki M. Rostamy-MalkhalifehThe Production Possibility Set (PPS) is defined as the set of all inputs and outputs of a system in which inputs can produce outputs‎. ‎In Data Envelopment Analysis (DEA)‎, ‎it is highly important to identify the defining hyperplanes and especially the s MoreThe Production Possibility Set (PPS) is defined as the set of all inputs and outputs of a system in which inputs can produce outputs‎. ‎In Data Envelopment Analysis (DEA)‎, ‎it is highly important to identify the defining hyperplanes and especially the strong defining hyperplanes of the empirical PPS‎. ‎Although DEA models can determine the efficiency of a Decision Making Unit (DMU)‎, ‎but they cannot present efficient frontiers of PPS completely‎. ‎The notion of defining hyperplanes is crucial to marginal discussions‎, ‎marginal rates‎, ‎marginal rates of substitution‎, ‎sensitivity analysis‎, ‎returns to scale‎, ‎and in particular‎, ‎the efficiency analysis of DMUs‎. ‎In this paper‎, ‎we propose a new method to determine all strong efficient(Pareto-efficient) DMUs and strong defining hyperplanes of the PPS with variable returns to scale which strong efficient DMUs are located on them‎. ‎Furthermore‎, ‎we apply the proposed method to find the normal vectors or gradient of the strong defining hyperplanes of the PPS including strong efficient DMUs‎. ‎Consequently‎, ‎the equations of these hyperplanes are determined‎. ‎To illustrate the ability of the proposed method‎, ‎some numerical examples are finally provided‎. ‎Our method can be easily implemented using existing packages for operation research‎, ‎such as GAMS. Manuscript profile -
Open Access Article
42 - The Calculation of the output price vectorby applying reverse linear programming: The novel approach in DEA
S. Sadri M. Rostamy-MalkhalifehIn the today’s world wherein every routine is based on economic factors, there is no doubt that theoretical sciences are driven by their capabilities and affordances in terms of economy. As a mathematical tool, data envelopment analysis (DEA) is provided to econom MoreIn the today’s world wherein every routine is based on economic factors, there is no doubt that theoretical sciences are driven by their capabilities and affordances in terms of economy. As a mathematical tool, data envelopment analysis (DEA) is provided to economics, so that one can investigate associated costs, prices and revenues of economic units. Data Envelopment Analysis (DEA) is a linear programming technique used for measuring the relative efficiency of decision making units based on input and output data. One of the applications of this technique is calculation of revenue efficiency. Methods of revenue efficiency calculation in DEA are generally presented for obtaining maximum revenue from output selling, these methods are not sufficiently efficient for evaluation of all system including network systems due to ignoring the internal structure of units and their middle products. Therefore, in this article, in addition to introduction of inverse linear programming in DEA and its application in calculating revenue efficiency, a new method is presented which considers the network structure of units, the ability to determine the optimal price and appropriate costs for efficiency of the unit. The proposed numerical examples demonstrated the superiority of the proposed methods over the traditional data envelopment analyses. Manuscript profile -
Open Access Article
43 - Determining Left and right Returns to Scale (RTS) and RTS sustainability by using linear programming problems based on simultaneous changes in inputs and outputs
M. Omidi M. Rostamy-Malkhalifeh A. Payan F. Hosseinzadeh LotfiDetermining the type of returns to scale (RTS) and identifying stability region for RTS of evaluating unit are appropriate abilities for forecasting the future the unit when its size is changed. This paper aims to introduce RTS sustainability of frontier decision making MoreDetermining the type of returns to scale (RTS) and identifying stability region for RTS of evaluating unit are appropriate abilities for forecasting the future the unit when its size is changed. This paper aims to introduce RTS sustainability of frontier decision making units (DMUs) in data envelopment analysis (DEA). Based on the importance of RTS in relation to decisions of managers, different methods have been proposed to define RTS and determine the type RTS. Research on RTS led to a more general categorize for the type of RTS, named left RTS (L-RTS) and right RTS (R-RTS). All of the methods in evaluating L-RTS and R-RTS have presented parametric programming problems which are non-linear programs, naturally. In tis situation, researchers are facing the challenge to determine the value of parameters. In order to survey this limitation, the present paper suggests linear programming problems. Moreover, the proposed models with minor changes are appropriate tools for determining the RTS sustainability for evaluating unit. Manuscript profile -
Open Access Article
44 - A new approach based on alpha cuts for solving data envelopment analysis model with fuzzy stochastic inputs and outputs
S. H. Nasseri O. gholami M. Fallah JelodardData Envelopment Analysis (DEA) is a widely used technique for measuring the relative efficiencies of homogenous Decision Making Units (DMUs) with multiple inputs and multiple outputs. These factors may be evaluated in fuzzy or stochastic environment. Hence, the classic MoreData Envelopment Analysis (DEA) is a widely used technique for measuring the relative efficiencies of homogenous Decision Making Units (DMUs) with multiple inputs and multiple outputs. These factors may be evaluated in fuzzy or stochastic environment. Hence, the classic structures of DEA model may be changed where in two fold fuzzy stochastic environment. For instances, linearity, feasibility and normal domain of efficiency scores (input orientation) between zero and one are some of these properties. In this paper, a new approach based on alpha cuts is proposed for evaluating decision making units with fuzzy stochastics inputs and outputs. The proposed approach modifies these weaknesses to solve DEA models with fuzzy stochastic parameters. A numerical example is given to illustrate the features and the applicability of the proposed model. Manuscript profile -
Open Access Article
45 - Stochastic DEA with Using of Skew-Normal Distribution in Error Structure
A. Nazari M-H .BehzadiThe stochastic data envelopment analysis (SDEA) was developed considering the value ofinputs and outputs as random variables. Therefore, statistical distributions play an importantrole in this regard. The skew-normal (SN) distribution is a family of probability densityf MoreThe stochastic data envelopment analysis (SDEA) was developed considering the value ofinputs and outputs as random variables. Therefore, statistical distributions play an importantrole in this regard. The skew-normal (SN) distribution is a family of probability densityfunctions that is frequently used in practical situations. In this paper, we assume that the inputand output variables are skew-normally distributed. With introducing asymmetric errorstructure for random variables of SN distribution, a stochastic BCC model is provided. Theproposed model includes BCC model assuming a normal distribution of data as well. Finally,the proposed model is used in a numerical example Manuscript profile -
Open Access Article
46 - Comparing the Efficiency of Dmus with Normal and Skew-Normal Distribution using Data Envelopment Analysis
A. Nazari M. H. BehzadiData envelopment analysis (DEA) is a nonparametric approach to evaluate theefficiency of decision making units (DMU) using mathematical programmingtechniques. Almost, all of the previous researches in stochastic DEA have been usedthe stochastic data when the inputs an MoreData envelopment analysis (DEA) is a nonparametric approach to evaluate theefficiency of decision making units (DMU) using mathematical programmingtechniques. Almost, all of the previous researches in stochastic DEA have been usedthe stochastic data when the inputs and outputs are normally distributed. But, thisassumption may not be true in practice. Therefore, using a normal distribution willbe lead to wrong results. The skew-normal (SN) distribution is one of the importantdistribution in statistics. The SN distribution is an asymmetric distribution which hassimilar properties to a normal distribution and it can be extended to the normaldistributions. In the present study, a stochastic BCC model was proposed formeasuring the stochastic efficiency of DMUs with inputs and outputs having Skew-Normal (SN) distribution. Moreover, it is shown that this model encompasses theBCC model assuming the normality of data as well. The proposed model inmeasuring the efficiency of a bank's 25 branches is used. Manuscript profile -
Open Access Article
47 - SBM extended model with nonlinear value data in data envelopment analysis with axiomatic approach
M. Vaez-Ghasemi، Z. MoghaddasOne of the important goals of banks as important economic enterprises of any country is to increase economic efficiency. One of the important goals of banks as important economic enterprises of any country is to increase economic efficiency. The classical approach to da MoreOne of the important goals of banks as important economic enterprises of any country is to increase economic efficiency. One of the important goals of banks as important economic enterprises of any country is to increase economic efficiency. The classical approach to data envelopment analysis models takes into account the linear valuation function for all indicators. But linear valuation in many examples of the world around us does not represent the non-linear nature of the indexes. Therefore, in this paper, we have introduced the principles of the model based on slack variables, some of which have nonlinear values. In a practical example of a bank, we reviewed the efficiency of ten branches of one of the country's banks in 1395 with a new approach. One of the important goals of banks as important economic enterprises of any country is to increase economic efficiency. One of the important goals of banks as important economic enterprises of any country is to increase economic efficiency. Manuscript profile -
Open Access Article
48 - Robust efficiency in data envelopment analysis with VRS technology
Saeid Shahghobadi Farhad MoradiOne of the fundamental problems in the classic DEA is lack of ability to distinguish unit's performance scores that is considered as a disadvantage. Recently, Parkan et al. [9] tried to address this problem. They proposed to assess each unit both optimistic and pessimi MoreOne of the fundamental problems in the classic DEA is lack of ability to distinguish unit's performance scores that is considered as a disadvantage. Recently, Parkan et al. [9] tried to address this problem. They proposed to assess each unit both optimistic and pessimistic views are taken into account. In contrast to traditional evaluation, one index is considered for each unit based on the lowest measured performance that is called robust efficiency. In this way, a new technology was made on the assumption of constant returns to scale. In this paper, the production technology with variable returns to scale assumptions made and the corresponding models are formulated as linear programming. Finally, it is shown that, the models based on the robust efficiency has more discriminatory power of the classic DEA. Manuscript profile -
Open Access Article
49 - A Heuristic Method on Extended Two-Stage Network Structures
R. Ahmadzadeh S. Kordrostami A.r. AmirteimooriData Envelopment Analysis (DEA) as a non–parametric method is used to measure relative performance of organizational units. The aim of this paper is to develop a new model to evaluate the efficiency of a general two-stage network structures proposed by Li et al. ( MoreData Envelopment Analysis (DEA) as a non–parametric method is used to measure relative performance of organizational units. The aim of this paper is to develop a new model to evaluate the efficiency of a general two-stage network structures proposed by Li et al. (2012) for measuring the performance of Decision Making Units (DMUs). In addition, this paper expands the work of Li et al. (2012) and improves the heuristic search procedure to estimate the optimal solutions of non-linear centralized models. In order to evaluate the proposed model of this study, it has been applied to a case of regional Research and Development (R&D) system related to 30 provincial level regions in China. The experimental results compared with method developed by Li et al. (2012) show that the proposed method is efficient and has much lower computational complexity. Manuscript profile -
Open Access Article
50 - Performance analysis in production processes in the presence of fixed-sum outputs
A. R. Amirteimoori S. Masroori S. KordrostamiPerformance measurement in the presence of fixed-sum outputs in data envelopment analysis (DEA) is an interesting and most frequently studied subject in the field of operations research. Different definitions of relative efficiency in the presence of fixed-sum outputs h MorePerformance measurement in the presence of fixed-sum outputs in data envelopment analysis (DEA) is an interesting and most frequently studied subject in the field of operations research. Different definitions of relative efficiency in the presence of fixed-sum outputs have been proposed in the literature of data envelopment analysis and in all of the existing definitions a common equilibrium efficient frontier is given. We will show that determining a single equilibrium efficient frontier may leads to a large trade-off between the decision making units and this may be impossible in real cases. In this paper, we propose a context-based data envelopment analysis approach to evaluate the relative performance of the decision making units when fixed-sum outputs are exist in production process. The approach proposed in this paper uses the context based data envelopment analysis to determine an efficiency score to each DMU. To illustrate the real applicability of the proposed approach, a real case on 21 OCED countries is given. Manuscript profile -
Open Access Article
51 - Designing a decision support system to predict the success of research centers with discriminatory analysis DEA
T. Alahveranlo محسن . Vaez ghasemi سیدمصطفی . TaheryResearch centers have an important place in promoting science and technology nationwide. On the other hand, given the limitations in allocating the funds and the facilities needed to establish these centers, it is important to decide on the selection of priority centers MoreResearch centers have an important place in promoting science and technology nationwide. On the other hand, given the limitations in allocating the funds and the facilities needed to establish these centers, it is important to decide on the selection of priority centers. In this decision - making process, several factors, such as requirements, priorities and strategies, capabilities, and balanced and sustainable development, should be considered. The total of the above items will make decision-making on ranking and selecting proposed projects a complex, time - consuming and costly resource. To this end, designing and developing a decision support tool is considered. In this research, a DSS is designed and evaluated to evaluate the design of research centers for Islamic Azad University units. This decision - making system, based on information from research centers and indicators gathered by experts, as well as the history of successful and failed research centers, is better explored with the discriminatory analysis and data envelopment analysis, and ultimately prediction that is it possible that the research center of the applicant be successful. Manuscript profile -
Open Access Article
52 - A Model for Project Selecting with Limited Resources in Data Envelopment Analysis with Input and Output Fuzzy
M. A. jahantighiIn Evaluating Performance, Selecting a Subset from a Set of Solutions with Limited Resources is Essential. If There Is More Than One Input and Output, the Data Rnvelopment Analysis Optimization Models Are Evaluated and Performance Measurement Based on the Weighted Outpu MoreIn Evaluating Performance, Selecting a Subset from a Set of Solutions with Limited Resources is Essential. If There Is More Than One Input and Output, the Data Rnvelopment Analysis Optimization Models Are Evaluated and Performance Measurement Based on the Weighted Output Is Divided Weighted Input. In This Research, Two Models of Optimization with Limited Resources Present from Data Envelopment Analysis Models. Each Project Produces a Set of Outputs Using Different Input Sources. In This Method, a Subset of Projects Is Selected that Can be Applies to the Resource Constraints as a Composite Project. These Composite Projects Are Defined and Evaluated by Available Projects and with Production Technology in Data Envelopment Analysis. In Fact, Evaluation and Selection Are Combined in the New Model, which is Done by Inserting a Data Envelopment Analysis Model into a Binary-Hybrid Linear Programming. The Second Model, Involves Choosing a Set of the Best or Most Preferred Places for New Facilities. Again, the Second Proposed Model Also Relates to Choices with Limited Resources. Manuscript profile -
Open Access Article
53 - کارایی هزینههای عمومی و خصوصی سلامت با استفاده از روش تحلیل پوششی دادهها
مریم فتاحی سجاد برخورداری -
Open Access Article
54 - Enhancing the Efficiency of the Technological Innovation Capabilities and Competitiveness of Pharmaceutical Companies by Applying Technology Intelligence Using data Envelopment Analysis
Ali Bonyadi Naeini Mahnaz Ahadzadeh Namin Ali AminiIntroduction: As strategic companies with a competitive nature, pharmaceutical companies have a significant contribution to the country's competitive advantage. Thus, competitiveness has become a challenging and important issue in such companies today. In complex compet MoreIntroduction: As strategic companies with a competitive nature, pharmaceutical companies have a significant contribution to the country's competitive advantage. Thus, competitiveness has become a challenging and important issue in such companies today. In complex competitive environments, just organizations who strengthen their technological innovation capabilities can continue to compete. Technological innovation capabilities utilize the new data and information in the field of technology and needs technology intelligence itself. So, in this research we want to assess the effects of technology intelligence on the efficiency of technological innovation capabilities and competitiveness of pharmaceutical companies. Methods: In terms of objectives, this research is practical and descriptive-analytical, and field and library method is used for data gathering. This research's data is extracted from 55 active companies in the pharmaceutical industry and with the help of network data envelopment analysis (DEA) analyzed and efficiency to companies, with and without technology intelligence assessment. Results:In this research it was found that utilizing technology intelligence has a positive effect on the efficiency of technological innovation capabilities and competitiveness of these companies and has often increased their efficiency. This study showed that the use of technology intelligence, only 54/34 percent of the companies under investigation received full performance score. Conclusion: The approach of this study was to investigate the role of technology intelligence that was studied and compared. The results show that this role was significant and effective role of technology intelligence on the efficiency of technological innovation capabilities and competitiveness to prove. Manuscript profile -
Open Access Article
55 - The Effect of Health System Transformation Plan on The Efficiency of Selected Hospitals in Ahvaz
parastou amirifar aniseh nikravan Leila NazarimaneshIntroduction: There is no doubt that determining the efficiency of hospitals is one of the key steps that must be taken. Therefore, performance appraisal can help health plan executives to better understand its strengths and weaknesses. The purpose of this study is to e MoreIntroduction: There is no doubt that determining the efficiency of hospitals is one of the key steps that must be taken. Therefore, performance appraisal can help health plan executives to better understand its strengths and weaknesses. The purpose of this study is to evaluate the effect of health system transformation plan on the efficiency of selected hospitals in Ahvaz in the period 2012 to 2017. Methods: Data related to seven hospitals implementing the project and one control hospital in 2012, 2013, 2016 and 2017 were collected. The efficiency of hospitals was calculated using data envelopment analysis technique using CCR method and WinDeap2 v 2.1 software. Independent t-test and Poisson using Stata v 15.1 software were used for inferential analysis. Results: The highest efficiency of hospitals were related to 2017 with average 0.987 and the efficiency of two hospitals in 2016 and 2017 was 1 and the other two hospitals have experienced an upward trend during these two years. Efficiency, number of hospital admissions, number of outpatient admissions and number of surgeries before the transformation plan were significantly different from after, but this difference was not true for the number of active beds, number of physicians and number of nurses. Conclusion: Totally the efficiency of hospitals implementing transformation plan has been experienced an upward trend. considering the health system transformation plan in 2014, the improvement of the efficiency, the number of outpatient admissions, the number of hospital admissions and the number of surgeries was probably due to the transformation plan. Manuscript profile -
Open Access Article
56 - Assessment of Technical Efficiency of Comprehensive Health Services Centers of Hamadan by Data Envelopment Analysis (DEA) in 2019
mohamad yousefi nayer Ali Akbar Fazaeli Ydolah Hamidi Jalaleddin AmiriIntroduction:Urban health centers are one of the most important centers for providing primary health services. According to the wide range of health centers and the number of services provided by these centers, a significant portion of the community health system resour MoreIntroduction:Urban health centers are one of the most important centers for providing primary health services. According to the wide range of health centers and the number of services provided by these centers, a significant portion of the community health system resources are allocated to these centers; therefore, the determination and continuous monitoring of the effectiveness of these centers can play a significant role in improving the efficiency of health resources and preventing waste of resources. The purpose of this study Assessment of Technical Efficiency of Comprehensive Health Services Centers of Hamadan by Data Envelopment Analysis (DEA) in 2019. Methods: This descriptive-analytic study evaluates the effectiveness of Hamedan comprehensive health centers services using the data envelopment analysis method. Inputs include: number of physicians and number of employees (midwife, specialist in the fight against diseases.). Outputs include: number of examinations by physician, midwifery services, vaccinations, injections and dressings. Results: In 2018 the average technical efficiency of the comprehensive health services centers was 0.751, the mean management efficiency was 0.85 and the mean efficiency of the scale was 0.88. Of the total centers of comprehensive health services surveyed, 6 centers have technical capacity of 1 and 13 centers with a technical efficiency of less than 1. Conclusion: In centers with efficiency less than 1, there were initial and optimal values of the same and different inputs. Therefore, it is suggested that these centers reduce their inputs as much as possible so that they can achieve maximum efficiency. Manuscript profile -
Open Access Article
57 - طراحی مدل ترکیبی کارت امتیاز متوازن و تحلیل پوششی دادهها مطالعه موردی: ارزیابی کارائی نسبی شرکتهای دارویی عضو بورس اوراق بهادار
محمدعلی افشار کاظمی عباس طلوعی اشلقی لیلی قلم سیاه -
Open Access Article
58 - Designing and explaining the ranking model and credit rating transfer using data envelopment analysis model and Markov chain
farid heidarifard farhad hanifi gholamreza zomorodianIn ‏this ‏study, ‏using ‏factor ‏analysis ‏technique ‏and ‏Delphi ‏method, ‏the ‏variables ‏affecting ‏credit ‏risk ‏were ‏selected ‏and ‏entered ‏into ‏the ‏data ‏envelopment ‏a MoreIn ‏this ‏study, ‏using ‏factor ‏analysis ‏technique ‏and ‏Delphi ‏method, ‏the ‏variables ‏affecting ‏credit ‏risk ‏were ‏selected ‏and ‏entered ‏into ‏the ‏data ‏envelopment ‏analysis ‏model, ‏and ‏the ‏efficiency ‏scores ‏of ‏Tejarat ‏Bank ‏legal ‏and ‏credit ‏companies ‏listed ‏on ‏the ‏stock ‏exchange ‏were ‏obtained ‏using ‏them. ‏Then ‏the ‏ranking ‏is ‏done ‏by ‏the ‏model ‏of ‏Fitch ‏Institute ‏and ‏using ‏the ‏results, ‏the ‏transfer ‏of ‏customers ‏in ‏different ‏groups ‏is ‏predicted ‏using ‏the ‏Markov ‏chain ‏process. ‏The ‏results ‏of ‏data ‏envelopment ‏analysis ‏indicate ‏that ‏7 ‏companies ‏were ‏identified ‏as ‏efficient ‏in ‏the ‏financial ‏approach ‏and ‏12 ‏companies ‏in ‏the ‏combined ‏approach. ‏The ‏results ‏of ‏the ‏Markov ‏chain ‏show ‏that ‏the ‏average ‏probability ‏of ‏stopping ‏at ‏the ‏current ‏rank ‏in ‏1400 ‏in ‏the ‏financial ‏condition ‏is ‏46% ‏and ‏in ‏the ‏combined ‏mode ‏is ‏53% ‏and ‏the ‏average ‏probability ‏of ‏improvement ‏of ‏the ‏companies ‏is ‏23% ‏and ‏the ‏average ‏probability ‏of ‏the ‏decline ‏is ‏20%. ‏Turns.. Manuscript profile -
Open Access Article
59 - The Impact of Corporate Governance’s Mechanisms on the Relationship of Managerial Ability and Created Shareholders Value
Younes Badavar Nahandi Nesa HeshmatSince the application and development of corporate governance mechanisms will lead to the development of financial markets and encouragement of investment by assuring investors, the correct implementation of these mechanisms give rise to decrease conflicts of interests MoreSince the application and development of corporate governance mechanisms will lead to the development of financial markets and encouragement of investment by assuring investors, the correct implementation of these mechanisms give rise to decrease conflicts of interests between managers and owners and provide incentives for managers to increase the value of the company and achieve the goals of stockholders. Therefore, the goal of this study is to investigate the impact of mechanisms’ of corporate governance on the relationship between managerial ability and created shareholders value. The sample of this study contains of 124 firms for the period 2007-2016. To test the research hypotheses it has been used a multi-variable regression model. The research results show that managerial ability is positively associated with firm value and corporate governance mechanisms intensify this positive relationship. Indeed, in the firms with high rank of corporate governance the more managerial ability will cause to increase shareholders value. Manuscript profile -
Open Access Article
60 - Optimization of Energy Consumption and Greenhouse Gas Emissions from Orange Production Using Data Envelopment Analysis and Genetic Algorithms (Case Study: Dezful Province)
fatemeh sabzalipour hossein bagherpourBackground and Objective: Saving on inputs, preservation of fossil fuels and decreasing air pollution are the advantages to using energy efficiently. The purpose of this study was to optimize energy inputs and greenhouse gas emissions of o MoreBackground and Objective: Saving on inputs, preservation of fossil fuels and decreasing air pollution are the advantages to using energy efficiently. The purpose of this study was to optimize energy inputs and greenhouse gas emissions of orange product in Dezful County, with two methods of data envelopment analysis and multi-objective genetic algorithm optimization techniques.Material and Methodology: Data from 60 farmers were randomly collected through face-to-face interviews and a questionnaire during the year 2016 and using two methods of data envelopment analysis and multi-objective genetic algorithm were analyzed.Findings: Regarding the results of data envelopment analysis technique based on fixed and variable return scale models and input-axis measurement, technical efficiency, net technical efficiency and scale efficiency were calculated to be 0.95, 0.98 and 97%. The results of optimization of energy consumption and greenhouse gas emissions by using data envelopment analysis showed that about 4.36% of orange energy has storage potential, that chemical fertilizers and diesel fuel have the highest amount of stored energy of all stored energy. Data envelopment analysis can reduce 34.38 kg of carbon dioxide per hectare from greenhouse gas emissions in orange crops. The results of the genetic algorithm showed that if all inputs were completely optimized, it could reduce the energy consumption of orange production in the study area by 26.1%. Also, the energy input for ideal orange production system could be 32810.6 MJ per ha.Discussion and Conclusion: According to the results of this study, it is recommended to use of new machines and encourage farmers to conduct soil tests before using of fertilizer. Manuscript profile -
Open Access Article
61 - Evaluating the Effect of Cost of Environmental Pollution on Efficiency (Case study: China's economic zones)
fatemeh Mehregan Soheyla SeyedboyerBackground and Objective: The purpose of this study is to evaluate the environmental impacts on the value of efficiency. Industries and companies making environmental pollution, bring costs to the community, which in the most cases are not taken into account for measuri MoreBackground and Objective: The purpose of this study is to evaluate the environmental impacts on the value of efficiency. Industries and companies making environmental pollution, bring costs to the community, which in the most cases are not taken into account for measuring efficiency. This study has attempted to find a proper model for evaluating efficiency using the two-stage data envelopment analysis, considering the costs of environmental pollution. Cost loss resulted from applying environmental constraints on undesirable outputs, are also discussed and calculated. Method: An analytical-descriptive method is utilized in this study. Two-stage data envelopment analysis has been used here to measure efficiency. At first, environmental constraints have been made up with respect to the problem and then added to the model. The proposed mathematical models are solved using the GAMS software and the values of efficiency are obtained. Findings: Results show that the model with environmental regulations has a lower efficiency value compared to the model without environmental regulation, indicating that applying environmental regulations on undesirable outputs, leads to losing some of desirable outputs and consequently some cost. The study involves 20 economic zones of China whose efficiency and cost loss are calculated. Discussion and Conclusion: The results show that in Guizhou and Guangdong regions, the efficiency is the same in both cases, indicating that these areas are on the edge of efficiency. The cost loss in these areas is zero. However, in areas such as Shaanxi and Liaoning, the difference is greater, indicating that for a long period of time, the economic development of these areas has been dependent on constant consumption of resources, which has caused reduced environmental quality. Manuscript profile -
Open Access Article
62 - The new hybrid SELKA method for evaluation, ranking and selection of green suppliers in the supply chain
Elham Shadkam Fatemeh AdinehBackground and Objective: With the increasing number of environmental problems, it is very important to pay attention to environmental standards in the supply chain and has led to the creation of a green supply chain that causes the least damage to the environment. Eval MoreBackground and Objective: With the increasing number of environmental problems, it is very important to pay attention to environmental standards in the supply chain and has led to the creation of a green supply chain that causes the least damage to the environment. Evaluating, ranking and selecting a green supplier in the supply chain is important in order to reduce costs and achieve more profit and thus increase the efficiency and performance of the supply chain. The purpose of this article is to evaluate and select the best green suppliers of wind farm equipment using SELKA proposed approach and to prioritize suppliers according to economic and environmental criteria in the supply chain using this method. Material and Methodology: In this paper, a hybrid approach called SELKA method is presented, which is a combination of data envelopment analysis methods and hierarchical analysis process, and the crossover matrix of efficiency is used instead of the matrix of weights. Findings: The most important advantage of the proposed approach is to simultaneously consider the efficiency of suppliers and evaluate them according to the existing criteria, which is not considered in any of the decision-making methods, and thus leads to a more accurate and efficient evaluation of suppliers. Discussion and Conclusion: In order to validate SELKA's proposed method, the issue of evaluation and selection of green suppliers in wind power plants is discussed and the results are compared with similar methods. The results show the superiority of the proposed method of the article in the ranking of suppliers and selects more efficient suppliers. Manuscript profile -
Open Access Article
63 - Sustainability assessment of urban geomorphology for planning and urban development management (Case Study: Yazd)
Amanehalsadat Pouriyeh Nematallah Khorasani Farhad Hosseinzadeh Lotfi Parvin FarshchiAbstract Background and Objective: Natural feature have a decisive effect on locating, growth, and physical development of cities. Natural phenomena sometimes act as positive factors and sometimes as negative and deterrent factors. The main objective of this study is to MoreAbstract Background and Objective: Natural feature have a decisive effect on locating, growth, and physical development of cities. Natural phenomena sometimes act as positive factors and sometimes as negative and deterrent factors. The main objective of this study is to identify the geo-morphological features of Yazd city using the data envelopment analysis (DEA) model in order to determine the sustainability of the city. Method: To achieve these goals, the geo-morphological indicators affecting the growth of Yazd including elevation, slope, aspect, geology, morphology, and pedology (land units) over a 30-year period from 1984 to 2013 were identified. Then, using questionnaire, the importance of indicators in development of the city was specified. Moreover, the DEA model was designed to examine the efficiency of development of Yazd. Efficiency of the units was calculated by GAMS software. The most efficient units involved in development of Yazd were recognized using Anderson and Peterson model. Findings: According to the DEA model during the study period (1984-2013), development of about 16% of Yazd was found to be quite efficient. In other words, during the study period, the years 1985, 1986, 2005, 2009, and 2013 have always had 100% efficiency. The most efficient unit in Yazd, based on the geomorphology indicator, was observed in 1986. Since then, with the development of city mainly in southwest direction the efficiency has been declining. Conclusion: The results show that indicators of slope, piedmont plain sediments, urban areas are playing an important role in the development of Yazd city. Manuscript profile -
Open Access Article
64 - Analysis of bankruptcy of companies listed in Stock Exchange by using of two methods of Discriminant Analysis and DEA–Additive analysis
Asghar Moshabbaki Hossein Mombeyni Alireza BakhshizadehBankruptcy is a challenge that, many companies are faced with. Therefore the analysis of bankruptcy is too important, especially for investors. Accordingly, the present study aims to use of two techniques of DEA–Additive analysis and Discriminant analysis in order MoreBankruptcy is a challenge that, many companies are faced with. Therefore the analysis of bankruptcy is too important, especially for investors. Accordingly, the present study aims to use of two techniques of DEA–Additive analysis and Discriminant analysis in order to analysis and assessment of bankruptcy of the companies which are listed on Tehran Stock Exchange. The study is descriptive- application and to assess the models of bankruptcy analysis, 110 companies listed on the stock exchange have been considered as statistical population and the DEA-Additive model and Discriminant Analysis model are used to bankruptcy analysis. The study showed that the Discriminant Analysis model was 50% accurate in predicting the bankrupt companies and 72% accurate in predicting the successful companies while the DEA-Additive model was 64% accurate in predicting the bankrupt companies and 87% accurate in predicting the successful companies, so in total the DEA-Additive model is more accurate than the Discriminant Analysis model in the bankruptcy analysis, and therefore it is preferred. Manuscript profile -
Open Access Article
65 - تکنیک های اندازه گیری کارایی در حضور تولیدات نامطلوب
S. Masrouri AR. Amirteimoori S. Kordrostamiاندازه گیری کارایی در حضور خروجی های نامطلوب موضوع مهمی است که توجه محققان بسیاری را به خود جلب کرده است. مقالات متعددی در خصوص خروجی های نامطلوب در روند تولید وجود دارد که می توان آنها را به دو گروه تقسیم کرد. در گروه اول در روند مدل سازی خروجی های نامطلوب مانند ورودی Moreاندازه گیری کارایی در حضور خروجی های نامطلوب موضوع مهمی است که توجه محققان بسیاری را به خود جلب کرده است. مقالات متعددی در خصوص خروجی های نامطلوب در روند تولید وجود دارد که می توان آنها را به دو گروه تقسیم کرد. در گروه اول در روند مدل سازی خروجی های نامطلوب مانند ورودی ها در نظر گرفته می شوند در حالی که گروه دوم خروجی های نامطلوب را مانند خروجی ها در مدل در نظر می گیرند. در این مقاله رویکردهای متفاوت از این دوگروه برای دستیابی به یک رویکرد درست تحلیل می شود. با توجه به مثال های عددی ارائه شده، تکنولوژیی درست و کامل است که در آن از اصل دسترسی پذیری ضعیف استفاده شده است. Manuscript profile -
Open Access Article
66 - پیش بینی الگو برای واحدهای تصمیم گیرنده در تحلیل پوششی داده ها
مرتضی شفیعی فرهاد حسین زاده لطفی هیلدا صالحاگرچه تحلیل پوششی داده­ها یک ابراز قدرتمند برای ارزیابی عملکرد واحدهای تحت ارزیابی می­باشد ولی این تکنیک دارای محدودیت­هایی نیز می­باشد. به عنوان نمونه یکی از محدودیت­های این روش، ارزیابی عملکرد سیستم براساس ورودی و خروجی­های قدیم است بنابر Moreاگرچه تحلیل پوششی داده­ها یک ابراز قدرتمند برای ارزیابی عملکرد واحدهای تحت ارزیابی می­باشد ولی این تکنیک دارای محدودیت­هایی نیز می­باشد. به عنوان نمونه یکی از محدودیت­های این روش، ارزیابی عملکرد سیستم براساس ورودی و خروجی­های قدیم است بنابراین نتایج ارزیابی به­دست آمده از مدل­های کلاسیک DEA، برای پیش بینی تغییرات کارایی واحدها در آینده و در نتیجه ارایه الگوی مناسب برای رسیدن به یک واحد کارا، کاربردی نمی­باشد . بنابراین هدف این مقاله پیشنهاد یک روش جدید به منظور پیش بینی کارایی سیستم براساس ورودی و خروجی شبیه سازی شده با استفاده از سیستم پویا و تکنیک­های شبیه سازی است. زیرا با پیش بینی کارایی واحد تحت ارزیابی، مدیران در یک سیستم می­توانند برنامه ریزی دقیق­تری برای آینده داشته باشند. برای این منظور با استفاده از یک حلقه بازخورد، ورودی­ها و خروجی­ها در واحدهای تصمیم گیرنده در آینده مورد پیش بینی قرار گرفت سپس با استفاده از مدل CCR و ورودی­ها و خروجی­های پیش­بینی، شده به پیش بینی کارایی واحد تحت ارزیابی پرداختیم. Manuscript profile -
Open Access Article
67 - ارائه یک مدل هدفگذاری مبتنی بر کارایی در ساختارهای سِری K مرحلهای
M. Homayounfar AR. Amirteimoori M. Goudarzvand- Cheginiتحلیل پوششی داده­ها به عنوان یک رویکرد اثربخش در ارزیابی کارایی نسبی واحدهای تصمیم­گیرنده، اخیراً در ارائه برنامه­های تولید در قالب تخصیص منابع و هدف­گذاری در بسیاری از سیستم­های تولیدی و عملیاتی مورد استفاده قرار گرفته است. اغلب این سیستم­ها دار Moreتحلیل پوششی داده­ها به عنوان یک رویکرد اثربخش در ارزیابی کارایی نسبی واحدهای تصمیم­گیرنده، اخیراً در ارائه برنامه­های تولید در قالب تخصیص منابع و هدف­گذاری در بسیاری از سیستم­های تولیدی و عملیاتی مورد استفاده قرار گرفته است. اغلب این سیستم­ها دارای ساختار شبکه­ای هستند که در آنها خروجی­های یک مرحله خاص، شاخص­های واسطه­ای هستند که ورودی­های مرحله بعد را تشکیل می­دهند. این مقاله یک مدل برنامه­ریزی خطی چند هدفه مبتنی بر تحلیل پوششی داده­های K مرحله­ای را که خروجی­های نامطلوب را مورد توجه قرار می­دهد، برای هدف­گذاری در ساختارهای شبکه­ای سری ارائه می­دهد. از آنجاییکه مدل پیشنهادی در هنگام ارائه ترکیب ورودی­ها / خروجی­ها، اندازه واحدهای تحت ارزیابی را مورد توجه قرار می­دهد، برنامه جدید شدنی بودن نتایج را تضمین می­کند. یک مثال واقعی از یک سیستم تولیدی برای نشان دادن کاربرد مدل پیشنهاد شده، استفاده شده است. نتایج نشان می­دهند که بر اساس برنامه جدید، همه امتیازات کارایی بهبود یافته­اند. Manuscript profile -
Open Access Article
68 - یک روش عملی با رویکرد وزنهای مشترک برای رتبهبندی واحدهای تصمیم گیرنده در تحلیل پوششی دادهها
محمدجواد رضائیانی علی اصغر فروغیچند روش برای یافتن وزنهای مشترک در تاریخچه تحلیل پوششی دادهها وجود دارد. اما بیشتر آنها بر اساس مدلهای پیچیده هستند. در این مقاله، یک روش عملی جدید برای به دست آوردن مجموعهای از وزنهای مشترک ارائه میشود. به کمک چند مثال عددی، نتایج روش جدید با نتایج برخی از روشه Moreچند روش برای یافتن وزنهای مشترک در تاریخچه تحلیل پوششی دادهها وجود دارد. اما بیشتر آنها بر اساس مدلهای پیچیده هستند. در این مقاله، یک روش عملی جدید برای به دست آوردن مجموعهای از وزنهای مشترک ارائه میشود. به کمک چند مثال عددی، نتایج روش جدید با نتایج برخی از روشهای موجود مقایسه میشود. Manuscript profile -
Open Access Article
69 - ارزیابی کارایی شاخصهای کیفیت زندگی شهری (مطالعه موردی: نواحی شهر تهران)
مهدی مدیری سید احمد حسینی دیمن کاشفی دوست -
Open Access Article
70 - مکانیابی بهینه و کارای احداث کارخانه کنسانتره دام و طیور در شهرستان میامی همراستا با متغیرهای جغرافیای صنعتی-اقتصادی و آمایش استان سمنان
طاهره سیار مجتبی غیاثی جعفر فتحعلی سعید آیباغی اصفهانی -
Open Access Article
71 - توسعه واحدهای مرغداری گوشتی منطقه بستک با تاکید بر کارآیی در راستای توسعه اقتصادی منطقه
وحید دهباشی محمد خیری مرضیه سیوندی -
Open Access Article
72 - A Study of Efficient and Inefficient Olympic Federations Using Data Envelopment Analysis
Mohammad AlimardaniThe purpose of the present research is to study efficient and inefficient Olympic federations using data envelopment analysis. This study is descriptive and retrospective and its data have been collected using field research. The statistical population consisted of 25 O MoreThe purpose of the present research is to study efficient and inefficient Olympic federations using data envelopment analysis. This study is descriptive and retrospective and its data have been collected using field research. The statistical population consisted of 25 Olympic federations in the country and due to limited population, total sampling was used in the research. The data related to these federations in 1395 were collected. In order to determine the efficiency of the federations, data envelopment analysis was used. In data envelopment analysis, the first step is to determine the research input and output. To this aim, indices (strategies) of the federations determined by balanced scorecards were distributed throughout a questionnaire. In order to determine whether the evaluation indices are input or output, Chi-squared test was used and for recognizing unfavorable output factors of inefficient federations, output-centered CCR and BCC methods were used. SPSS and DEA SOLVER software were used for data analysis. The research results showed that with 95% certainty, from among 9 strategies (evaluation indices) in Olympic federations, 4 strategies are input and 5 strategies are output. Moreover, 7 federations in the CCR model and 6 federations in the BCC model were assessed to be inefficient. Manuscript profile -
Open Access Article
73 - Measurement of Inefficiency Slacks in Network Data Envelopment Analysis
حسین عزیزی علیرضا امیرتیموری سهراب کردرستمی -
Open Access Article
74 - Optimization of Energy Consumption and Economic Productivity of Different Methods of Grape Production Using Data Envelopment Analysis
Asmaeil Rahmani Mohammad Gholami Parshokohi Davood Mohammad ZamaniIn 2020, this research has been devoted to the determination of energy indicators and economic analysis in the vineyards of Qazvin province, after calculating the amount of energy consumption and economic indicators, optimization was done using the method of data envelo MoreIn 2020, this research has been devoted to the determination of energy indicators and economic analysis in the vineyards of Qazvin province, after calculating the amount of energy consumption and economic indicators, optimization was done using the method of data envelopment analysis. According to the results, the energy ratio of grapes was estimated as 9.66 and 11.26 in traditional and semi-mechanized methods, respectively. Also, the economic results showed that the net profit of one ton of grapes in the traditional and semi-mechanized method was 2609.77 and 2995.22 dollars per hectare, respectively. The data coverage analysis method showed that the average scores of technical efficiency, pure technical efficiency, and scale efficiency for traditional grape production are 0.90, 0.95, and 0.94 respectively. Also, the average scores of technical efficiency, pure technical efficiency, and scale efficiency for semi-mechanized grape production are 0.91, 0.97, and 0.93, respectively. Based on the results of optimal consumption, it has led to a 25.19% reduction in the energy consumption of traditional production and a 24.78% reduction in the energy consumption of semi-mechanized grape production. According to the results, the high energy consumption of chemical fertilizers should be directed towards organic agriculture and less use of chemical fertilizers and pesticides as as possible. Also, it is suggested that optimal energy consumption and saving at the level of farmers should be advertised and promoted by the relevant bodies. Manuscript profile -
Open Access Article
75 - Evaluating the performances of decision-making units based on the optimistic and pessimistic points of view
Hossein Azizi Maziar SalahiData envelopment analysis (DEA) is a methodology for assessing the performances of a group ‎of decision making units (DMUs) that utilize multiple inputs to produce multiple outputs. It ‎measures the performances of the DMUs by maximizing the efficiency of every MoreData envelopment analysis (DEA) is a methodology for assessing the performances of a group ‎of decision making units (DMUs) that utilize multiple inputs to produce multiple outputs. It ‎measures the performances of the DMUs by maximizing the efficiency of every DMU, ‎respectively, subject to the constraints that none of the efficiencies of the DMUs can be less ‎than one. The efficiencies measured in this way are referred to as optimistic efficiencies or the ‎best relative efficiencies. The way to measure the optimistic efficiencies of the DMUs is ‎referred to as self-evaluation. If a DMU is self-evaluated to have an efficiency score of one, ‎then it is said to be DEA efficient; otherwise, the DMU is said to be non-DEA efficient. ‎There is a comparable approach which uses the concept of inefficiency frontier for ‎determining the worst relative efficiency score that can be assigned to each DMU. DMUs on ‎the inefficiency frontier are specified as DEA-inefficient, and those that do not lie on the ‎inefficient frontier, are declared to be DEA-non-inefficient. In this paper, we argue that both ‎relative efficiencies should be considered simultaneously, and any approach that considers ‎only one of them will be biased. For measuring the overall performance of the DMUs, we ‎propose to integrate both efficiencies in the form of an interval, and we call the proposed ‎DEA models for efficiency measurement the bounded DEA models. In this way, the ‎efficiency interval provides the decision maker with all the possible values of efficiency, ‎which reflect various perspectives. Manuscript profile -
Open Access Article
76 - Decision models for evaluation and selection of suppliers in the presence of cardinal and ordinal data, weight restrictions, and non-discretionary factors: An approach based on DEA with double frontiers
Hossein Azizi Rasul JahedSelection of suppliers for outsourcing is now one of the most important decisions of the purchasing ‎department. These decisions constitute an important part of the production and logistics ‎management in many firms. On the other hand, suppliers can be evaluated MoreSelection of suppliers for outsourcing is now one of the most important decisions of the purchasing ‎department. These decisions constitute an important part of the production and logistics ‎management in many firms. On the other hand, suppliers can be evaluated and selected from ‎optimistic and pessimistic perspectives. There is an argument that both points of view must be ‎considered simultaneously, and any approach that considers only one perspective is biased. This ‎paper proposes a new “data envelopment analysis (DEA) with double frontiers” approach for ‎evaluation and selection of suppliers. The DEA with double frontiers approach can identify the best ‎supplier in the presence of weight restrictions, non-discretionary factors, and cardinal and ordinal ‎data. This paper proposes to integrate both efficiencies in the form of a geometric mean efficiency ‎that measures the overall performance of each supplier. It is shown that geometric mean efficiency ‎has more discriminative power than any of the optimistic and pessimistic efficiencies. A numerical ‎example illustrates the application of the proposed method.‎ Manuscript profile -
Open Access Article
77 - Comparison of supply chain performance evaluation with BSC-FDEA and BSC-RDEA methods in Tabriz automotive industries
SINA CHARTAB JABBARI kamaleddin rahmani youshanloui mohammad paseban yagoub Alavi matin Mojtaba RamazaniConsidering the importance of the issue of efficiency in the advancement of societies and the place it occupies in today's organizations, the use of performance evaluation has become an unavoidable necessity. In the present study, the performance evaluation of five acti MoreConsidering the importance of the issue of efficiency in the advancement of societies and the place it occupies in today's organizations, the use of performance evaluation has become an unavoidable necessity. In the present study, the performance evaluation of five active supply chains with the same structure with the aim of comparing the results of the combined RDEA-BSC and FDEA-BSC models in Tabriz automotive industry and the input and output data in the form of symmetrical triangular fuzzy numbers and the set of uneven numbers to the input and output model The models show the performance of the supply chain. From the Balanced Scorecard (BSC) method as a tool for designing performance evaluation indicators in four aspects; financial, processes, customer and learning and human force growth have been used and also the type of applied-descriptive research and measurement tool is questionnaire, financial documents and information analysis method, FDEA, RDEA, BSC mathematical model and sensitivity analysis. The results of the research show that the efficiency of Amico in each model is higher than other studied companies Manuscript profile -
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78 - Evaluating suppliers using gray data envelopment analysis With applying decision maker preferences
Shahab Rafiazadeh Dariush Mohammadi ZanjiraniOrganizations and companies in order to increase their capabilities in the business environment must increase the level of outsourcing of their activities, and this increases the dependence on suppliers., they must pay attention to the performance of their suppliers, an MoreOrganizations and companies in order to increase their capabilities in the business environment must increase the level of outsourcing of their activities, and this increases the dependence on suppliers., they must pay attention to the performance of their suppliers, and also the evaluation and selection of efficient suppliers creates a competitive advantage for companies. Recent studies have suggested many methods for evaluating and selecting suppliers. Data envelopment analysis due to the basis of mathematical programming and linear algebra is one of the powerful methods in this regard that measures the efficiency of homogeneous units with multiple inputs and outputs. On the other hand, due to the uncertainty of the data in real applications, this issue has become a complex decision-making. Gray number theory is a method used to deal with uncertainty conditions that has been used in this research. In the present study, two models for evaluating and selecting efficient suppliers and a method for ranking efficient units based on data envelopment analysis and gray data are presented. The first model is proposed in order to achieve real results by applying the priority of inputs and outputs by decision makers and the second model is proposed by reducing the volume of calculations and solving them in the issue of evaluation and selection of efficient suppliers. The two mentioned models have been used to evaluate the car glass suppliers of IranKhodro Company and the implementation of the model shows acceptable results from the implementation of the proposed models. Manuscript profile -
Open Access Article
79 - Evaluation and Selection of a Supplier by Interval DEA Models with Assurance Region: ADEA Approach to Efficient and Inefficient Frontiers
Hossein Azizi Akbar Jafari ShaerlarTraditionally, suppliers evaluation and selection models based on basic data put less emphasis on ordinal data; however, with the extensive use of production philosophies, such as Just In Time (JIT) production, further emphasis is put on considering cardinal and ordinal MoreTraditionally, suppliers evaluation and selection models based on basic data put less emphasis on ordinal data; however, with the extensive use of production philosophies, such as Just In Time (JIT) production, further emphasis is put on considering cardinal and ordinal data simultaneously through the supplier selection process. Application of Data Envelopment Analysis (DEA) for the issues concerning the evaluation and selection of the supplier is based on the complete flexibility of weights. Yet, the problem is permissibility of complete flexibility of their weights, as the weight values obtained through the solving unrestricted DEA program are often contrary to the earlier viewpoints or the additional information. The present paper aims to propose interval DEA models with assurance region for evaluation and selection of the best supplier in the presence of weight restrictions and imprecise data. It proposes a new approach based on “DEA with efficient and inefficient frontiers” for evaluation and selection of the best supplier in the presence of weight restrictions and imprecise data. In this approach, optimistic and pessimistic efficiencies are considered simultaneously for each supplier. When the assurance region constraints are added to the interval DEA optimistic models, scores of calculated efficiency interval become worse and a supplier previously determined as the optimistic efficient supplier may be recognized as optimistic non-efficient. When the assurance region constraints are added to the interval DEA pessimistic models, scores of calculated efficiency interval are improved and a supplier previously recognized as a pessimistic inefficient supplier may be recognized as pessimistic non-inefficient. Comparing traditional DEA, DEA approach with efficient and inefficient frontiers may recognize the best supplier correctly and conveniently. A numerical example shows the application of the proposed approach. Manuscript profile -
Open Access Article
80 - A New Method for Ranking the Discovered Rules Obtained from Data Mining Using Data Envelopment Analysis
Hossein AziziData mining techniques, i.e. extraction of patterns from large databases, are extensively used in business. Many rules may be obtained by these techniques and only a few of them may be considered for implementation due to the limitation of budgets and resources. Evaluat MoreData mining techniques, i.e. extraction of patterns from large databases, are extensively used in business. Many rules may be obtained by these techniques and only a few of them may be considered for implementation due to the limitation of budgets and resources. Evaluating and ranking attractiveness and usefulness of the association rules is of paramount importance in data mining. In the earlier studies carried out on identifying mentally interesting association rules, most methods required writing information or asking users for explicit differentiation of interesting rules from uninteresting ones. These methods involve detailed calculations and they may even lead to inconsistent conclusions. To solve these problems, this article proposes the application of the double frontiers Data Envelopment Analysis (DEA) Approach for selecting the most effective association rule. In this approach, in addition to the best relative efficiency of each association rule, its worst relative efficiency is considered. Comparing with the traditional DEA, double frontiers DEA Approach is capable of identifying the most efficient association rule correctly and easily. As an advantage, the proposed approach is more efficient than the earlier works in this concern, as far as calculations are concerned. Applicability of our DEA-based method for measuring the efficiency of association rules will be shown by multiple criteria using an example of market basket analysis. Manuscript profile -
Open Access Article
81 - Worst-practice Data Envelopment Analysis Models for the Measurement of Fuzzy Efficiency
Hossein Azizi Haidar Rasul Jahed Leila FarrokhiThe classic form of data envelopment analysis (DEA), which is based on the concept of efficient production frontier, determines the best efficiency score that can be assigned to each member of a set of decision-making units (DMUs). Based on these scores, DMUs are classi MoreThe classic form of data envelopment analysis (DEA), which is based on the concept of efficient production frontier, determines the best efficiency score that can be assigned to each member of a set of decision-making units (DMUs). Based on these scores, DMUs are classified into optimistic efficient and optimistic non-efficient units, and the optimistic efficient DMUs determine the efficiency frontier. Classic DEA can be used for identification of well-performing (efficient) units in the most favorable scenario. For identification of units with bad performance, such as bankrupt firms in the most unfavorable scenario (the worst case), there is a similar approach, called worst efficiency analysis, which uses the inefficient production frontier in order to determine the worst relative efficiency score that can be assigned to each DMU. DMUs lying on the inefficient production frontier are specified as pessimistic inefficient, while those that are neither on the efficient production frontier nor on the inefficient production frontier is designated as DEA-unspecified units. DEA requires that input and output data are known exactly. However, this is not the case in real-world applications. However, the observed values of the input and output data in real-world problems are sometimes fuzzy. Many researchers have proposed various fuzzy methods for dealing with the fuzzy data in DEA. This paper presents two new fuzzy DEA models based on fuzzy arithmetic that make it possible to work with fuzzy input and output data in DEA. The new fuzzy DEA models are formulated as linear programming models, and they can be used for determining the fuzzy efficiency of a group of DMUs. The worst-practice frontier fuzzy DEA models presented in this paper accurately identify the “worst-practice” DMUs that form the worst practice-frontier (the inefficiency frontier). This is particularly relevant for our application to credit risk evaluation, but this also has general relevance since the worst performers are where the largest improvement potential can be found. An example will be presented to illustrate the application of the new approach. Manuscript profile -
Open Access Article
82 - A Study on the Efficiency of Companies Listed on the Tehran Stock Exchange Using Data Envelopment Analysis
Hiresh Soltanpanah Iman Dadashi Samira ZareiIn this research, we investigate the efficiency of companies listed on Tehran stock exchange using Data envelopment analysis (DEA). To do so, we compute the relative efficiency of the companies using input oriented CCR, BCC and CRS and VRS approaches and separate their MoreIn this research, we investigate the efficiency of companies listed on Tehran stock exchange using Data envelopment analysis (DEA). To do so, we compute the relative efficiency of the companies using input oriented CCR, BCC and CRS and VRS approaches and separate their inefficiency into two technical and scale sections. In continuous, we tend to determine the companies with the absolute efficiency among the companies with one hundred percent relative efficiency. Finally, we try to determine the reference groups as a pattern for improving their efficiency by identifying the weakly efficient companies. The research data were collected from financial statement of 75 companies listed in three different industries including chemical, food and non-metal in the Tehran stock exchange from 2006 to 2010. By considering the previous researchers, in order to compute the efficiency of the companies, we use from two input variables including total assets and total liability to total assets ratio and three output variables including EPS, ROA and ROE. The results show that the significant amount of existing inefficiency is because of the scale inefficiency in these companies, while all the efficient companies in these three industries are as the weakly efficiency type and there isn’t any company with the absolute efficiency among them. Manuscript profile -
Open Access Article
83 - Provide a Data Envelopment Analysis/Data Mining Integrated Model for Evaluation of Decision-making Units
Alireza Alinezhad Javad KhaliliEfficiency is an important issue for the managers of different companies and organizations, as well as customers who are interested in services of these companies and organizations. The aim of this research is to study the efficiency of pharmaceutical companies accepted MoreEfficiency is an important issue for the managers of different companies and organizations, as well as customers who are interested in services of these companies and organizations. The aim of this research is to study the efficiency of pharmaceutical companies accepted in stock exchange organization using Data Envelopment Analysis (DEA) and then, providing some rules using the decision tree. The Malmquist index partly resolves the problem of inadequacy of the observations by enabling the combination of time-series and cross-sectional observations. This method acts on the basis of moving average and it is of use for finding performance trends of a unit during the time. In this research, regarding the inputs and outputs and using the Malmquist index, efficiency evaluation of 22 pharmaceutical companies accepted in stock exchange organization has been done in the state of constant returns to scale during 2012-2016, and the results obtained were used as the class label of Decision-Making Units (DMUs) which are in fact inputs of decision tree method. Finally, using the decision tree, rules implicit in the data, are extracted. Manuscript profile -
Open Access Article
84 - A Data Envelopment Analysis Model with Interval Data Using TOPSIS Technique
Hossein Azizi Alireza Amirteimoori Sohrab KordrostamiData envelopment analysis (DEA) is a methodology for assessing the performances of a group of decision-making units (DMUs) that utilize multiple inputs to produce multiple outputs. This paper introduces two virtual DMUs called ideal DMU and anti-ideal DMU into the inter MoreData envelopment analysis (DEA) is a methodology for assessing the performances of a group of decision-making units (DMUs) that utilize multiple inputs to produce multiple outputs. This paper introduces two virtual DMUs called ideal DMU and anti-ideal DMU into the interval DEA. The resultant interval DEA models are, respectively, referred to as the interval DEA with ideal and anti-ideal DMUs. One evaluates DMUs from the viewpoint of the optimistic efficiency, while the other evaluates them from the perspective of the pessimistic efficiency. The two distinctive interval efficiencies are combined to form a comprehensive index called the relative closeness to the ideal DMU just like the well-known technique for order preference by similarity to ideal solution approach in multiple attribute decision making. The relative closeness index is then used as the evidence of overall assessment of each DMU, based on which an overall ranking for all the DMUs can be obtained. We also present an example on evaluating the performance of twenty bank branches which shows that the proposed interval DEA approach is a simple, efficient, and practical method for performance measurement in real-life situations. Manuscript profile -
Open Access Article
85 - Supplier Selection Based on Optimistic and Pessimistic Perspectives
Hosen Azizi Alireza Amir Teymori Reza Farzipour SamenDiscretionary models for supplier efficiency evaluation assume that all criteria are controllable, i.e. they are controlled by the supplier and can change at the discretion of the management. These models do not consider supplier selection in circumstances where some fa MoreDiscretionary models for supplier efficiency evaluation assume that all criteria are controllable, i.e. they are controlled by the supplier and can change at the discretion of the management. These models do not consider supplier selection in circumstances where some factors are non-discretionary. In this paper, we present a data envelopment analysis (DEA) approach for selection of the best suppliers in the presence of non-discretionary factors and imprecise data that considers both optimistic and pessimistic perspectives. The optimistic perspective evaluates suppliers using the optimistic efficiency and can be used for identifying optimistic efficient suppliers, whereas the pessimistic perspective evaluates suppliers using the pessimistic efficiency and can be used for identifying pessimistic inefficient suppliers. These distinct efficiencies are integrated in the form of geometric average efficiencies that provide an assessment of the overall performance of each supplier in multiple criteria compared to other rival suppliers in the same market and therefore can be used as a basis for comparison of suppliers. We show that geometric average efficiencies have more discriminative power than either of the two efficiencies. A numerical example shows the advantages, capabilities, and applications of the proposed DEA approach. Manuscript profile -
Open Access Article
86 - Technology Selection in The Presence of Both Cardinal and Ordinal Data
Hoosen Azizi Reza Farzipoor SaenData envelopment analysis (DEA) is a data-oriented approach for evaluating the performance of a set of peer entities called Decision making units (DMUs) whose performance is characterized by multiple measures. The definition of a DMU is generic and flexible. In our case MoreData envelopment analysis (DEA) is a data-oriented approach for evaluating the performance of a set of peer entities called Decision making units (DMUs) whose performance is characterized by multiple measures. The definition of a DMU is generic and flexible. In our case, DMU refers to a technology. Selection of the best technology is an important phase for technology transfer. To selection the best technologies in the presence of both cardinal and ordinal data, this paper proposes an innovative approach, which is based on DEA. This paper proposes to use “DEA with efficient and inefficient frontiers” for selection of the best technology in the presence of both cardinal and ordinal data. In this approach, optimistic and pessimistic efficiencies of each technology are considered simultaneously. Compared with the traditional DEA, the DEA approach with efficient and inefficient frontiers can identify the best technology easily and accurately. A numerical example demonstrates the application of the proposed method. Manuscript profile -
Open Access Article
87 - Evaluating the Performance of the Sales Force on KPI with the Data Envelopment Analysis (DEA)
Esmaeel Malekakhlagh Arman Poureisa Sayyed Ali NabizadehAn important of performance measurement specified for organizations and already it is playing an important role in many of them. The current priority of organizations is ensure more favorable evaluation indicators to evaluate the performance of individuals. In the meant MoreAn important of performance measurement specified for organizations and already it is playing an important role in many of them. The current priority of organizations is ensure more favorable evaluation indicators to evaluate the performance of individuals. In the meantime sales force performance is crucial indicators and pulse key in competitive market and evaluating of it on KPI is important. One of the models of performance evaluation is data envelopment analysis (DEA). The purpose of this study was to evaluate the performance of the sales force with the DEA. The population of this study is Kale Company of Amol and sample of this is 20 number chosen by simple random sampling of the employees of sales department. Input oriented CCR model of DEA models was chosen and WINGO SB and Excell software were used. The results show that unit of 4, 7, 14, 17 & 18 are efficient for sale. Also by using the AP model most efficient personnel were identified. Manuscript profile -
Open Access Article
88 - Fuzzy Streaming Data Classification Using Data Envelopment Analysis
Amineh Tohidi Mohammad Amin Adibi Alireza AlinezhadIn this research, a new fuzzy streaming data classification method is presented. Fuzzy data classification is one of the most challenging areas in data analysis due to high-volume and sophisticated computation engaged in data analysis techniques. However, in some other MoreIn this research, a new fuzzy streaming data classification method is presented. Fuzzy data classification is one of the most challenging areas in data analysis due to high-volume and sophisticated computation engaged in data analysis techniques. However, in some other areas such as mathematical programming, great achievements are obtained in modeling of systems measured by fuzzy data. So, in this research classification based on data envelopment analysis (DEA) is selected to handle fuzzy data classification. On the other hand, the proposed method can be applied for dealing with streaming data by using an updating schema. This feature makes the proposed method suitable for non-stationary environment in which data pattern varies over the time. Experiments using simulated data demonstrate the capability of the proposed method in dealing with uncertain and non-stationary environment. Manuscript profile -
Open Access Article
89 - Presenting a Hybrid Model of Data Envelopment Analysis and Multi-Objective Decision Making to Achieve the Efficiency Score of Decision Making Units in Grey Environment
Alizera Alinezhad Hossen Kakavand Abolfazle Kazemi Ali ShakorlooData Envelopment Analysis Model is one of the methods for measuring efficiency which is used to evaluate homogeneous decision-making units. However, in making use of this technique, we need N times writing formula for n decision-making units in order to achieve the requ MoreData Envelopment Analysis Model is one of the methods for measuring efficiency which is used to evaluate homogeneous decision-making units. However, in making use of this technique, we need N times writing formula for n decision-making units in order to achieve the required efficiency. As a result, it is not possible to compare decision-making units in the framework of a common weight, and the model is of low discrimination power. In otherwise the classic DEA models deal with crisp parameters. Therefore, in the present study, we tried to present common weights for decision-making units by presenting a new model utilizing multi objective decision making and Grey Systems Theory to achieve efficiency of DMUs when the parameters of model are uncertain and only interval of them are defined. Finally, the evaluation results, examples are provided to compare the performance rating DMUs through classical DEA models and the proposed model is discussed. Manuscript profile -
Open Access Article
90 - Development of congestion model in fuzzy data envelopment analysis
Alireza Alinezhad Behnam MohamadbeigiThis paper studies the congestion model development in fuzzy data envelopment analysis. To obtain the lower and upper bounds for concepts of efficiency and inputs and outputs, it is possible to apply the advantages of α-cut which exists in fuzzy data envelopment a MoreThis paper studies the congestion model development in fuzzy data envelopment analysis. To obtain the lower and upper bounds for concepts of efficiency and inputs and outputs, it is possible to apply the advantages of α-cut which exists in fuzzy data envelopment analysis. Additionally, this paper proposes a new concept of congestion which examines congestion from an optimistic and pessimistic viewpoint. In this concept, the optimistic case examines congestion in a condition that the under-investigation decision making unit provides the optimum output by taking the lowest input. The pessimistic case, also, demonstrates a condition in which the under-investigation decision making unit provides the worst output by taking the optimum input. Using these two cases, the congestion is studied in fuzzy data envelopment analysis.Keywords: Data envelopment analysis, fuzzy data envelopment analysis, optimistic and pessimistic congestion, α-cut. Manuscript profile -
Open Access Article
91 - Evaluate the performance of the organization using two integrated approaches the DEA-BSC and ANN-DEA
Reza Ehtesham Rasi Eisa NajiConsidering the importance of efficiency in advancing communities and the place that today's organizations have embraced, the use of performance evaluation has become an inevitable necessity. Therefore, we are trying to investigate the effectiveness of organizations by MoreConsidering the importance of efficiency in advancing communities and the place that today's organizations have embraced, the use of performance evaluation has become an inevitable necessity. Therefore, we are trying to investigate the effectiveness of organizations by combining the two DEA-BSC systems and neural networks in this study. In this regard, first, the performance indicators were determined by using the Balanced Scorecard technique in four dimensions of customer, internal processes, learning and growth and financial, then using the data envelopment analysis method and non-radial SBM model and GAMS software, the organization's efficiency we calculated. In the next step, with the help of the indicators derived from the DEA-BSC method and using the combination of two systems of data envelopment analysis and neural network and using the MATLAB software, the efficiency was re-calculated. In the last step, we compared the two methods of DEA-BSC and ANN-DEA. The results of the comparison of the two methods indicated the compatibility of the two models in discussing the efficiency and superiority of the ANN-DEA method in terms of the short response time and the determination of the efficiency and the possibility of using Its trained algorithm to measure the performance of organizational units in the future. Manuscript profile -
Open Access Article
92 - Evaluating Emotional Quota: A DEA-Based Approach (Case Study: Yadegar Emam, Shahr-e Rey Islamic Azad University)
Fatemeh Moradi Mahnaz MaghbouliFor many years, it was believed that Intelligence Quota (IQ) was the benchmark showing how successful one is. However, recent researches have revealed that IQ is not the only factor in one's success but also, other criteria called as Emotional Quota (EQ) has taken its p MoreFor many years, it was believed that Intelligence Quota (IQ) was the benchmark showing how successful one is. However, recent researches have revealed that IQ is not the only factor in one's success but also, other criteria called as Emotional Quota (EQ) has taken its place in many researches. Since the inception of this structure, psychologists mainly paid attention on its cognitive aspects, such as memory and problem solving. Soon, they realized that non-cognitive aspects like emotional and social factors played a key role as well. To study the importance of this issue, a random sample of 81 Electronic and Mechanic engineering graduates from Islamic Azad University, Yadegar Emam Branch, were selected. They were handed out a questioner on EQ derived from Travis-Bradberry book. The collected data evaluated applying Data Enveloping Analysis (DEA) models. In order to rank and distinguish the students’ performance, super efficiency models were employed. The results show that the Electronic graduates scored some higher rank. Top of all, the study conflicts the selected four factors in evaluating EQ and reveals that the relationship- management factor has the most effect and self-management factor can take the least influence in this evaluation. Manuscript profile -
Open Access Article
93 - Productivity Evaluation and Measurement in Iranian Petroleum Industry Health Organization
Meysam Azimian Mehdi Karbassian Hamed Rahimpour Shahrzad FalahiIn health care provider organizations (HCPOs), there are several sub-units, simultaneously providing health and preventive services to the population covered, in which measuring productivity is one of the most important challenges for the managers of these organizations MoreIn health care provider organizations (HCPOs), there are several sub-units, simultaneously providing health and preventive services to the population covered, in which measuring productivity is one of the most important challenges for the managers of these organizations. Hence, the purpose of this study is to provide an integrative approach of data envelopment analysis (DEA) and Malmquist productivity index (MPI) to monitor the productivity in Iranian Petroleum Industry Health Organization (PIHO) as an HCPO. In this study, using the indicators related to efficiency and defining the specialized indicators affecting the performance of the sub-units of this organization, the growth rate of the performance of the sub-units was determined through calculating four distance functions and Malmquist productivity Index. According to the results of this study, 27 specialized indicators in the fields of direct and indirect health and preventive services for monitoring the effectiveness of proposed HCPO have been presented. Also, the growth rate of productivity of the fifteen areas of the organization under study has been evaluated from 2019 to 2021. The innovative aspect of this article lies in the definition of effectiveness measurement indicators and presentation of a theoretical framework for monitoring the rate of productivity in HCPOs. The findings of this applied research in health service organizations can be used to enhance capacity in different areas of health care and save resources. Manuscript profile -
Open Access Article
94 - Developing a Comprehensive Performance Evaluation Model while Enhancing the Resolution of Decision-Making Units in Data Overlay Analysis through a Fuzzy Inference System
Navid Sharifi Maghsood Amiri Laya Olfat Amir YousefliThe utilization of data envelopment analysis models for assessing and ranking organizational performance is on the rise. One of the important challenges of this model is the diminishing of the decision-making unit’s precision when dealing with a multitude of input MoreThe utilization of data envelopment analysis models for assessing and ranking organizational performance is on the rise. One of the important challenges of this model is the diminishing of the decision-making unit’s precision when dealing with a multitude of inputs and outputs. Hence, the aim of the present research was to develop a comprehensive performance evaluation model while enhancing the resolution of decision-making units. To this end, a balanced scorecard was used to identify comprehensive indicators. At the same time, for the first time, two objective and subjective approaches based on factor analysis and fuzzy inference system were used simultaneously to reduce indicators and improve the resolution of decision-making units. This study used an explanatory-descriptive method and was conducted as an applied-developmental research. The statistical population for identifying performance evaluation indicators and developing fuzzy inference rules included the experts of higher education institutions of Semnan city. Moreover, twenty-four higher education institutions of Semnan city were selected for model testing. The researcher made two questionnaires for the data collection. The validity of the questionnaires was confirmed by content and construct validity, respectively. Also, the reliability of the questionnaires was confirmed by Cronbach's alpha value and composite reliability of more than 0.7 respectively. The main accomplishment of the research can be designing a unified model with objective and subjective approaches to improve the resolution of decision units. In this regard, 26 indicators were identified and reduced to 8 structures by factor analysis. Also, the structures were scored by relying on the designed fuzzy inference system. The results demonstrated a significant improvement in the resolution of decision-making units when utilizing the proposed model, in contrast to conventional models which are mostly based on objective and subjective methods. As a result, the number of effective units in the proposed model effectively reduced to 10. Additionally, the results of the Kruskal-Wallis test and the calculation of the standard deviation of the efficiency scores revealed that the proposed model with an average rating of 48.29 and a dispersion of 0.221 has a lower efficiency rating and a greater dispersion as compered to other models. This finding serves as a confirmation of the enhanced resolution achieved by the proposed model Manuscript profile -
Open Access Article
95 - Productivity and Economic Growth in Selected Developing Countries
Parviz Mohamadzadeh hossein Akbare fard Akram Akbari Somaye AtapourThe present article tries to measure and analyze the productivity of the selected developing countries during 1998-2007 through the use of data envelopment analysis method and Malmquist index, and then to examine the relationship between productivity and economic growth MoreThe present article tries to measure and analyze the productivity of the selected developing countries during 1998-2007 through the use of data envelopment analysis method and Malmquist index, and then to examine the relationship between productivity and economic growth in the countries with high productivity growth. The results obtained from the study show that 17 countries have the efficiency rate under 0.9, and that from the viewpoint of technical efficiency, only Kuwait is placed on the boundary function of production. Also, from the viewpoint of management efficiency, countries such as Azerbaijan, Bulgaria, Georgia, Kazakhstan, Kuwait, Kyrgyz Republic, Lithuania, Mongolia, Ukraine, and Tunisia have the highest rate of efficiency. Manuscript profile -
Open Access Article
96 - Evaluating Relative Efficiency of Major Cargo Ports in the Middle East: The Integrated DEA-AP Approach
Azita Hajizadeh Seyed Nasser Saeidi Amer Kaabi Homayoun Yousefi Mostafa ZaredoostThe aim of this study was to evaluate the relative efficiency of major cargo ports in Middle East over the three-year period of 2011-2013. The research data were collected from scientific resources and input and output data from statistical yearbook of the Iranian ports MoreThe aim of this study was to evaluate the relative efficiency of major cargo ports in Middle East over the three-year period of 2011-2013. The research data were collected from scientific resources and input and output data from statistical yearbook of the Iranian ports, maritime organization and formal website of each foreignport. Initially, the relative efficiency of ports was evaluated via two basic model of DEA-technique namely CCR-O and BCC-O and the ports were ranked accordingly using the 100% efficiency Anderson-peterson method. Based on the results of output- oriented CCR modelthatrepresents overall technical efficiency, Khorfakkan Port showed the highest and Bandar ImamKhomeini the lowest coefficient of efficiency during the given period. Based on the results of output- oriented BCC modelthatrepresents pure technical efficiency, Bushehr, Jebel Ali, KhorfakkanandAlexandria were found to have the highestandBandar ImamKhomeini the lowest coefficient of efficiency. Apart from Khorfakkan and Alexandriathat were underconstantreturns to scale, other ports were under variablereturns to scale. The scrutinized ports revealed an average of 54.3%, in technical efficiency and an average of 73% in pure technical efficiency during 2011-2013. Manuscript profile -
Open Access Article
97 - The Minimal Cost – Benefit Ratio for Interval Data
Sahand Daneshvar Mozhgan Mansouri KaleibarThis Paper deals with calculating the minimal and maximal shares of individuals or organizations based on different criteria. Suppose that players are selfish and the score for each criterion for a player is an interval. Each player makes any possible effort to bring ab MoreThis Paper deals with calculating the minimal and maximal shares of individuals or organizations based on different criteria. Suppose that players are selfish and the score for each criterion for a player is an interval. Each player makes any possible effort to bring about his or her ideal condition. In this paper a new scheme to calculate the minimal cost - benefit ratio for interval data is offered. A player who has minimal cost - benefit ratio is the successful player in obtaining favorite cost and benefits. In this scheme also new models have been proposed to avoid zero weight occurrence. Manuscript profile -
Open Access Article
98 - Investigation of Bank Management Performance Using DEA Technique (Case Study of Different Branches of Tehran Banks)
Mohammad Rahim Ramazanian Keikhosro Yakideh Lobat Akhavan DeilamiBanks are considered as vital circulatory system of finance and financial institutions that collect assets from various sources and allocate them to sectors that need market liquidity. Despite existing limitations, the present enquiry aimed to examine the efficiency of MoreBanks are considered as vital circulatory system of finance and financial institutions that collect assets from various sources and allocate them to sectors that need market liquidity. Despite existing limitations, the present enquiry aimed to examine the efficiency of bank management through the use of Data Envelopment Analysis Model. Typical Models of Data Envelopment Analysis employed in evaluation of organizational performance are based on the black box events, that is, the input into units under scrutiny converted into output regardless of the intermediate stages. However, providing bank services is a complex process comprising different interconnected stages and the interwoven stages involved necessitated the use of Network Data Envelopment Analysis, in the present study, to design a Bank Performance Measurement Model. Thus, the aim of this scrutiny was to identify managerial weaknesses by calculating the management efficiency using the Network Model and to offer viable solutions. To serve the purpose, the banking data accumulated in 19 private bank branches in Tehran during the year 2014 were surveyed to estimate both the overall efficiency and the efficiency of each bank segment. The findings indicated significantly lower levels of efficiency in Network Collective Models compared to Simple Collective Models. Also, the NSBM model rendered a more precise measure of efficiency in comparison to the SBM model which can enable managers to identify and rectify inefficiencies in each sector. Manuscript profile -
Open Access Article
99 - Analysis the effect of detariffication on the performance of Iranian insurance using mathematical and statistical modeling
Mohammad reza Namdar Mohsen Ghare khaniDeregulation such as elimination of tariff system is one of the fundamental institutional changes in the past decade in the Iranian insurance industry. Although it can affect on the markets performance, few research studied the effects of deregulation on insurer efficie MoreDeregulation such as elimination of tariff system is one of the fundamental institutional changes in the past decade in the Iranian insurance industry. Although it can affect on the markets performance, few research studied the effects of deregulation on insurer efficiency. In this study, a two-step approach is applied for analyzing the performance of insurance companies that combines mathematical programming and statistical method, in the ten-year period from 1384-1393 SH. The audiences of this research are all the stakeholders of the insurance industry, including market executives, their clients and regulatory organizations. The data have been compiled using a library study method from the insurance industry's annual statistics. Firstly we use Data Envelopment Analysis to calculate the efficiency of insurers in the ten-year period, and then in second step by Estimated Regression Equation the effect of deregulation on the insurer performance is investigated. The results show that detariffication has negative effect on the performance of insurers and reduced their efficiency. Finally, we present the recommendations for improving the performance of the insurers. Manuscript profile -
Open Access Article
100 - Cultural economy analysis in the space of Gilan province
farhad barandak Lili Mohamadi AslCulture is an important pillar of the society that through ensuring effectiveness in economic sense brings about effective developments in the society The purpose of present study is to compare the relative efficiency of Counties of Gilan and identify the efficient Coun MoreCulture is an important pillar of the society that through ensuring effectiveness in economic sense brings about effective developments in the society The purpose of present study is to compare the relative efficiency of Counties of Gilan and identify the efficient Counties, in terms Cultural development and productivity. Applied-analytical method was used and statistical population includes Counties of Gilan. Data Envelopment Analysis model is used to determine the efficiency ratio of DMUs and to distinguish efficient and inefficient DMUs. For the units that are identified as efficient by CCR-I model, Anderson–Pearson (AP) was used. For analyzing data, LINGO and DEAP software was used. Findings showed that 8 Counties (in CCR-I) and 11 Counties (in BCC-I) have been efficient. Final ranking is as follows (in efficient Counties in the CCR-I): Rasht> Lahijan> Astara> Amlash> Talesh> Rezvanshahr> Roodbar> Bandar-e Anzali Finally, virtual DMUs were introduced as a pattern for inefficient DMUs. Inefficient DMUs will achieve efficiency if they can be promoted to achieve the conditions of their similar virtual DMUs. Manuscript profile -
Open Access Article
101 - مدل سرمایه گذاری مناسب در سبد سهام با رویکرد تحلیل پوششی دادهها- شبکه عصبی
مصطفی کاظمی محمد اسفندیار حدیث نجاریاندر سالهای اخیر با ورود سرمایه گذاران خصوصی به بازار سرمایه، رقابت موجود بین شرکتهای سرمایه گذاری افزایش چشمگیری داشته است. شرکتهای بزرگ و قدرتمند، اهداف پیش بینی شده خود را با جدیت پیگیری میکنند تا توان رقابتی خود را بالا ببرند. برای تجزیه و تحلیل کارایی شرکتهای سر Moreدر سالهای اخیر با ورود سرمایه گذاران خصوصی به بازار سرمایه، رقابت موجود بین شرکتهای سرمایه گذاری افزایش چشمگیری داشته است. شرکتهای بزرگ و قدرتمند، اهداف پیش بینی شده خود را با جدیت پیگیری میکنند تا توان رقابتی خود را بالا ببرند. برای تجزیه و تحلیل کارایی شرکتهای سرمایه گزاری از روشهای پارامتریک و ناپارامتریک استفاده میشود. با توجه به ضعف قدرت تفکیکپذیری و حساسیت مرز کارایی به دادههای پرت در روش تحلیل پوششی دادهها، در این پژوهش کارایی 31 شرکتهای سرمایهگذاری در بورس اوراق بهادار تهران با استفاده از مدلهای تحلیل پوششی دادهها و مدل ترکیبی شبکههای عصبی و تحلیل پوششی دادهها به عنوان دو روش ناپارامتریک، مورد ارزیابی قرار میگیرند. با استفاده از مدلهای BCC و CCR تحلیل پوششی دادهها کارایی شرکتهای سرمایه گذاری در بازه زمانی 1388ـ1390 محاسبه و نتایج تجزیه و تحلیل گردید. با توجه به ضعف تحلیل پوششی دادهها در رتبهبندی واحدهای کارا، با استفاده از روش اندرسون و پیترسون واحدهای کارا رتبهبندی شده است.در روش ترکیبی شبکههای عصبی و تحلیل پوششی دادهها از شبکه پرسپترون چند لایه با الگوریتم آموزش لونبرگ ـ مارکوآرت (LM) استفاده شده است. مقایسه نتایج مدل ترکیبی با روش تحلیل پوششی دادهها نشاندهنده قدرت بالای شبکههای عصبی برای اندازهگیری کارایی می­باشد. Manuscript profile -
Open Access Article
102 - بررسی تاثیر کیفیت سود گزارش شده بر کارایی واحدهای اقتصادی با استفاده از تحلیل پوششی دادهها
مهدی غلام ابری محمد محمودی -
Open Access Article
103 - Efficiency of 4 stage supply chain in presence of non discretionary , undesirable and negative factors Using SBM model in DEA
mehdi shoga farhad hoseinzadeh lotfi امیر غلام ابری Alireza Rashidi KomijanThe purpose of this paper is to evaluate the performance of a four-stage supply chain in the presence of uncontrollable, undesirable and negative data in the cement industry. For this purpose, the Slack-Based Measure (SBM) model in network data envelopment analysis is p MoreThe purpose of this paper is to evaluate the performance of a four-stage supply chain in the presence of uncontrollable, undesirable and negative data in the cement industry. For this purpose, the Slack-Based Measure (SBM) model in network data envelopment analysis is presented to evaluate the performance of such chains. Then, 42 cement companies present in the stock exchange and securities, the corresponding chain of each of which has four stages of supplier, producer, distributor and customer, were evaluated during the period 1394-1394. Based on the implementation of the model, 5 companies have been efficient for three consecutive years and the efficiency score of the rest of them has been less than 1 in all years or some years. Manuscript profile -
Open Access Article
104 - Bootstrap-DEA efficiency: Radial and non-radial approaches in the banking industry
mohamadreza pahle mahdi fathabadi parvane salatinThis article aims to assess the efficiency of 15 stock market banks over the period 2014-2022. Utilizing non-parametric radial efficiency (Debreu-Farrell efficiency) and non-radial efficiency (Russell efficiency) methods, we analyze constant, non-increasing, and variabl MoreThis article aims to assess the efficiency of 15 stock market banks over the period 2014-2022. Utilizing non-parametric radial efficiency (Debreu-Farrell efficiency) and non-radial efficiency (Russell efficiency) methods, we analyze constant, non-increasing, and variable return-to-scale technologies. Recognizing limitations within radial methods, bias-corrected technical efficiency is also estimated using bootstrap data envelopment analysis. Radial analysis reveals inefficiency among all banks except for the Middle East bank. The average Debreu-Farrell efficiency stands at 77% under constant return to scale and 82% under variable return to scale, while the average Russell efficiency is 58% and 67% respectively. These results suggest slack in Debreu-Farrell efficiency. Bootstrap efficiency findings reveal underestimation in both radial and non-radial efficiency, thereby overstating actual efficiency levels. Bias-corrected radial technical efficiency scores from the bootstrap approach indicate inefficiency across all banks, with Dey and Sarmaye banks exhibiting particularly poor performance. Thus, adopting appropriate strategies such as non-performing loan management, increased non-interest incomes, and reduced operational costs is imperative to enhance efficiency. Manuscript profile -
Open Access Article
105 - The Productivity of Energy and the Effective Factors on it. (Manufacturing Industries of IRAN)
Ebrahim Niknaghsh نقی شجاع Amir Gholam Abri Mohamad Mehdi MovahediThe main goal of the present study is to evaluate the total energy productivity and the effective factors on 134 manufacturing industries in Iran with a four digit code and also ISIC international classification among 1385 to 1394. To do this, with data envelopment anal MoreThe main goal of the present study is to evaluate the total energy productivity and the effective factors on 134 manufacturing industries in Iran with a four digit code and also ISIC international classification among 1385 to 1394. To do this, with data envelopment analysis and Malmquist method the technical, technological efficiency and the total energy productivity are calculated on the manufacturing industries in Iran. And then by fixed effects method and generalized method of moments (GMM),the effect factors on the total Energy Productivity was calculated. The results of the model showed that the total Manufacturing Industries experiences a technological positive growth, but some have been technically efficient. In all, the findings showed the growth of the total energy productivity in the manufacturing industries. The findings based on the model showed that variables such as skills, information communication technologies (ICT), research and development, physical capital and machinery and equipment , export and time are meaningful effect and just variable education is meaningless effect on the total energy productivity. Based on the results, reviewing the work style, improving managerial skills ,Government subsidized support of production and investment, imports tariff reduction of capital equipment and machinery of the industries with less energy consumption is recommended. Manuscript profile -
Open Access Article
106 - Performance Evaluation Health Houses of Firouzkouh City by Using Data Envelopment Analysis
N. shoja A. Gholamabri N. khaliliPerformance evaluation health houses of Firouzkouh City and consideration of their efficiency, is the main purpose of this study and it can help improving the efficiency of health houses and determining appropriate strategies and programs to advancement and develo MorePerformance evaluation health houses of Firouzkouh City and consideration of their efficiency, is the main purpose of this study and it can help improving the efficiency of health houses and determining appropriate strategies and programs to advancement and development of these goals. In this study, we have used the point of views of the experts and professors of operation article and we studied the previous investigations to evaluate the performance of health houses. So, we determined 2 important inputs and 3 outputs from March 2012 to March 2013. Then we evaluated their efficiency by CCR model and found that 5 heath houses among these 18 health houses obtained number 1 in efficiency houses . Finally we ranked the houses based on the efficiency by AP-CCR. Finding showed that Arjomand, Mozdaran, and Jeliz Jand health houses allocated to the first three points respectively. Manuscript profile -
Open Access Article
107 - Calculating the Sustainable Supply Chain Performance in the Cement Industry (Application of Network Data Envelopment Analysis Model)
mohammad hossein darvish motevally farhad hosseinzadeh lotfi نقی شجاع Amir Gholam AbriThe purpose of this paper is to present an appropriate model of data envelopment analysis with a network structure for evaluating the sustainability of the supply chain of cement companies present in the Iranian Stock Exchange during 2014-2015 and determine their produc MoreThe purpose of this paper is to present an appropriate model of data envelopment analysis with a network structure for evaluating the sustainability of the supply chain of cement companies present in the Iranian Stock Exchange during 2014-2015 and determine their productivity based on the Malmquist index. This model attempts to introduce sustainability criteria in the supply network with regard to quantitative and qualitative constraints as well as undesirable outputs and Through their measure of supply chain, results are more consistent with reality. Overall, the results indicate a decline in the total productivity of these companies; meanwhile, only 7 companies have maintained their performance and other companies have had a performance fluctuation. Manuscript profile -
Open Access Article
108 - Evaluating the Efficiency of Social Security in Isfahan Province
amir gholamabriSocial security, as one of the largest insurance agencies covering 37 million people of the country population and 63 thousands employees by vast areas of insurance, medical and investment services, has vital effect on the social and economic structure of the country. C MoreSocial security, as one of the largest insurance agencies covering 37 million people of the country population and 63 thousands employees by vast areas of insurance, medical and investment services, has vital effect on the social and economic structure of the country. Consequently, the evaluation of this organization is of high significance. Moreover, DEA is a non-parametric method by solving linear programming problems for evaluating the performance of decision making units by multiple inputs and multiple outputs. In this paper, the efficiency of social security branches in Isfahan Province will be evaluated by DEA during 2011. In continue, efficient and inefficient units of this branch are identified and then efficient units will be ranked by Anderson and Peterson Model. Manuscript profile -
Open Access Article
109 - Evaluating the Effectiveness of Research Activities in Islamic Azad University Branches by Using Data Envelopment Analysis (DEA)
naghi shoja mohammad hosein darvish motevaliAbstract Given that the mission of Research Department of all universities and research institutions is to write and edit the research activities and develop or produce new sciences and change it into new technology, the evaluation of their research performance is ver MoreAbstract Given that the mission of Research Department of all universities and research institutions is to write and edit the research activities and develop or produce new sciences and change it into new technology, the evaluation of their research performance is very important. In this paper, the performance of the research department in selected branches of Islamic Azad University is measured and compared in 3 periods during 2010-2013 by using without input model of DEA. So, 5 important research indicators are determined and considered based on DEMATEL technique. The Performance of the branches are calculated by a without input model of DEA and GAMS software and then ranked by Anderson-Peterson ranking method. During the first period, 4 branches including Takestan, Karaj, Firouzkouh and Varamin are efficient. During the second period, 5 branches Parand, Takestan, Roudehen, Karaj and Firouzkouh are efficient and at last, 4 branches are highly efficient during third period, naming Parand, Takestan, Qazvin and Firouzkouh. Manuscript profile -
Open Access Article
110 - Impact of Technological Progress and Efficiency Changes on the Productivity Growth of Iran Agriculture Sector: Data Envelopment Analysis
mahdi salarieh Amir Mohamadi Nejad Reza MoghaddasiThe aim of this paper is to study the impact of technological progress and efficiency changes on the productivity growth of Iran agriculture sector by separated provinces.So, by using Data Envelopment Analysis and Malmquist model, the impacts of technological and effici MoreThe aim of this paper is to study the impact of technological progress and efficiency changes on the productivity growth of Iran agriculture sector by separated provinces.So, by using Data Envelopment Analysis and Malmquist model, the impacts of technological and efficiency changes during 2005-2014 have been investigated. The results show that efficiency changes on the productivity growth has dominant role and technological changes share is less. The findings, also, showed that the impact of labor changes has a positive impact on productivity growth while capital changes have a negligible impact on the factors of production productivity. Manuscript profile -
Open Access Article
111 - A Comparative Study of Dynamic Portfolio Optimization Using Grey Relational Analysis Methods and Basic Methods (Average, Moving Average and Moving Average) in Tehran Stock Exchange
Reza Adak Mehdi Meshki Miavaghi Mohammad Hassan QolizadehObjective: The Ranking Of Financial Assets For Investment Decision Making Is One Of The Most Important Stages For Portfolio Formation.Different And Different Methods Are Used To Perform Ranking. In This Research, A New Integrated Method Is Used For Ranking Which Investo MoreObjective: The Ranking Of Financial Assets For Investment Decision Making Is One Of The Most Important Stages For Portfolio Formation.Different And Different Methods Are Used To Perform Ranking. In This Research, A New Integrated Method Is Used For Ranking Which Investors Using It Can Determine Their Specific Goals By Considering The Return, Risk And Profit. This Research Is Based On Two Main Goals: First, Ranking Portfolios Based On The Grey Relational Analysis And The Second Method Is Compared To Classic Methods, Which Are Named Fundamental Methods In This Research. Methodology: To Implement The Research Topic, 11 Weight And Investment Strategies Were Defined For The Method Of Grey Relational Analysis And 3 Strategies For Basic Methods.The Study Population Includes Companies Listed In Tehran Stock Exchange And The Sample Consisted Of Five Top Industries At The Beginning Of The Study Including Investment, Chemical, Iron And Steel Industries, Banks And Oil Products And Products.In These Five Industries With The Conditions That Were Considered In The Study, 160 Companies Were Selected As The Sample And To Examine The Hypotheses, Mann - Whitney U Test Was Used To Compare The Results Of Grey Analysis Method With The Basic Method Of Data Envelopment Analysis. Results: In General, The Results Of The Study Show That The Grey Relational Algorithm Is A More Efficient Method Than The Baseline Method When The Goal Of Investing In The Best Part Is The Grey Relational Algorithm (2020), As Well As Hamza cebiza Abi And Pekkaya (2011) Manuscript profile -
Open Access Article
112 - Evaluating the Effectiveness of Tehran Hospitals in Attracting Medical Tourists through Grey Relational Analysis
ebtehal zandi Mohanna NikbinMedical tourism presents opportunities for hospitals to leverage their potential in providing services. Data Envelopment Analysis (DEA), known for its comprehensive and high accuracy, plays a vital role in analyzing relative efficiency and measuring the performance of t MoreMedical tourism presents opportunities for hospitals to leverage their potential in providing services. Data Envelopment Analysis (DEA), known for its comprehensive and high accuracy, plays a vital role in analyzing relative efficiency and measuring the performance of tourism industries. This study employs DEA to determine the efficiency of IPD-licensed hospitals in the field of medical tourism. The BCC and CCR output models are utilized, and gray ratio analysis is employed to compare and rank the effective units. The findings reveal that, based on the CCR model, eight out of 52 IPD-licensed hospitals in medical tourism demonstrate efficiency, while based on the BCC model, 18 hospitals exhibit efficiency, indicating inefficiency among the remaining hospitals. Furthermore, the study identifies and suggests referral hospitals based on the inefficient hospital model. It can be concluded that the return-to-fastness model is more stringent than the return-to-scale model, encompassing a smaller number of efficient units. Additionally, the calculated efficiency for each hospital in this model is lower than that in the return-to-scale model. Consequently, it is crucial for relevant managers to utilize the results of this method to enhance the efficiency of their hospitals. Manuscript profile -
Open Access Article
113 - ارزیابی کارایی شاخصهای کیفیت زندگی شهری (مطالعه موردی: نواحی شهر تهران)
مهدی مدیری سید احمد حسینی دیمن کاشفی دوست -
Open Access Article
114 - مکانیابی بهینه و کارای احداث کارخانه کنسانتره دام و طیور در شهرستان میامی همراستا با متغیرهای جغرافیای صنعتی-اقتصادی و آمایش استان سمنان
طاهره سیار مجتبی غیاثی جعفر فتحعلی سعید آیباغی اصفهانی -
Open Access Article
115 - توسعه واحدهای مرغداری گوشتی منطقه بستک با تاکید بر کارآیی در راستای توسعه اقتصادی منطقه
وحید دهباشی محمد خیری مرضیه سیوندی -
Open Access Article
116 - مدل ترکیبی شبکهی عصبی و تحلیل پوششی داده ها برای ارزیابی کارایی عملکرد واحدها
صادق حیدری احسان زنبوری حمید پروینکایی و ارزیابی یکی از اصلیترین و مهمترین نیاز های سازمانها، شرکتها و موسسات میباشد و این سازمان ها چون با حجم زیادی از داده سر و کار دارند. تحلیل پوششی دادهها روشی مناسب برای کارایی و ارزیابی عملکرد سازمانها میباشد. این تحقیق برای ارزیابی عملکرد و کارایی واحدهای Moreکایی و ارزیابی یکی از اصلیترین و مهمترین نیاز های سازمانها، شرکتها و موسسات میباشد و این سازمان ها چون با حجم زیادی از داده سر و کار دارند. تحلیل پوششی دادهها روشی مناسب برای کارایی و ارزیابی عملکرد سازمانها میباشد. این تحقیق برای ارزیابی عملکرد و کارایی واحدهای تصمیم گیرنده انجام گرفته است، ابتدا رویکردی با مدل BCC خروجی محور رتبهبندی واحدهای کارا در قالب مدلهای تحلیل پوششی دادهها مورد بررسی قرار گرفت و ضعف مدل، از نظر محاسبه و تفکیک کارایی مشخص گردید سپس برای از بین رفتن این مشکلات از روش ترکیبی تحلیل پوششی دادهها مدل BCC خروجی محور و شبکه عصبی مصنوعی به منظور ارزیابی کارایی این واحدها استفاده گردید تا بتوان این مشکل را بر طرف نمود. در پایان نیز مقایسهای بین نتایج حاصل از دو مدل انجام گرفته است. با توجه به مقدار کارایی بدست آمده با روش bcc خروجی محور، مشاهده می گردد تعدادی از واحدها مقدار کارایی آنها برابر با یک است که این باعث میگردد نتوانیم این واحدها رتبه بندی نماییم. اما با استفاده از روش پیشنهادی Neuro-DEA هیچ دو شعبه ای دارای مقدار کارایی برابر نبوده و با توجه به کارایی بدست آمده به راحتی می توان این واحد ها را ارزیابی و رتبه بندی نمود. Manuscript profile -
Open Access Article
117 - تخصیص مجدد نیروهای سازمان به کمک مدل سوپرکارا با وجود محدودیت روی تعداد و نحوه انتقال نیروهای بعضی از واحدها
مریم خطیبی بیژن رحمانی پرچیکلاییدر این مقاله کارایی عملکرد چند واحد مستقل سازمان نیروی انتظامی با هدف بهینهسازی کل ورودی مورد استفاده و کل خروجی تولید شده هر واحد مورد ارزیابی قرار گرفت. بدین منظور با در نظر گرفتن میزان کارایی و ناکارایی هر واحد و با توجه به موقعیت مکانی واحدها نسبت به هم و همچنین با Moreدر این مقاله کارایی عملکرد چند واحد مستقل سازمان نیروی انتظامی با هدف بهینهسازی کل ورودی مورد استفاده و کل خروجی تولید شده هر واحد مورد ارزیابی قرار گرفت. بدین منظور با در نظر گرفتن میزان کارایی و ناکارایی هر واحد و با توجه به موقعیت مکانی واحدها نسبت به هم و همچنین با توجه به وجود محدودیت روی تعداد و نحوه انتقال نیروهای بعضی از واحدها، با استفاده از مدل سوپرکارا مدلی در قالب تخصیص مجدد ورودیهای واحدهای سازمان، در جهت افزایش کارایی واحدهای ناکارا و با تاکید بر حفظ کارایی واحدهای کارا ارائه گردید. Manuscript profile -
Open Access Article
118 - رتبهبندی واحدهای تصمیمگیری با ساختار شبکه دو مرحلهای چند دورهای: روشی مبتنی بر تحلیل پوششی دادههای نسبتی
مقصود احمد خانلو قراخانلو نیما آذرمیر شتربانی قاسم توحیدی شبنم رضویان روح اله عباسیتحلیل پوششی داده ها به عنوان یک روش غیرپارامتریک برای اندازه گیری کارایی مجموعه ای از واحدهای تصمیم گیری همواره مورد توجه می باشد . عدد کارایی حاصل از مدل های استاندارد ، معیاری برای مقایسه عملکرد هر واحد تصمیم گیری با بقیه واحدها می باشد. علی رغم نقاط قوت فراوان این مد Moreتحلیل پوششی داده ها به عنوان یک روش غیرپارامتریک برای اندازه گیری کارایی مجموعه ای از واحدهای تصمیم گیری همواره مورد توجه می باشد . عدد کارایی حاصل از مدل های استاندارد ، معیاری برای مقایسه عملکرد هر واحد تصمیم گیری با بقیه واحدها می باشد. علی رغم نقاط قوت فراوان این مدل ها، از نقاط ضعف آنها می توان به عدم تمایز بین واحدهای کارا اشاره کرد. همچنین، این مدل ها به ساختار داخلی واحدها توجه نمی کنند و دیدگاه جعبه سیاه دارند. در جهت رفع این مشکلات، مدل های تحلیل پوششی داده های نسبتی که هم از لحاظ زمان و هزینه بسیار مقرون به صرفه تر است مورد استفاده قرار می گیرند؛ اما این مدلها ایستا هستند و زمان را در ارزیابی لحاظ نمی کنند. دراین مقاله، روشی برای رتبهبندی واحدهای تصمیمگیری با ساختار شبکه دو مرحلهای چند زمانی با استفاده از تحلیل پوششی دادههای نسبتی پیشنهاد میشود. با استفاده از مدلهای تحلیل پوششی دادههای نسبتی، سه دیدگاه متفاوت برای ارزیابی کارایی در دورههای زمانی معرفی میشود و متناظر با هر دیدگاه، یک عدد کارایی برای هر واحد تصمیمگیری به دست میآید. سپس، سه مقدار کارایی منتج از سه روش مذکور، با استفاده از روش آنتروپی شانون با یکدیگر ترکیب شده و یک معیار کارایی کلی برای هر واحد تعریف میشود. این معیار در نهایت به عنوان شاخص اصلی برای رتبهبندی واحدها درنظر گرفته میشود. نتایج اجرای الگوریتم پیشنهادی بر روی مثال واقعی و مقایسه آن با نتایج روشهای مشابه، قوتاین الگوریتم را آشکار میسازد. Manuscript profile -
Open Access Article
119 - تحلیل کارایی زیست محیطی کشورها با رهیافت تحلیل پوششی داده ها
مینا مشفق محسن رستمی مال خلیفهدر سالهای اخیر توجه عمومی به مسائل زیست محیطی به نحو چشمگیری افزایش یافته است. با توجه به افزایش نگرانیها در رابطه با کیفیت محیط زیست، تغییرات آب و هوایی و انتشار آلایندههای زیست محیطی که به عنوان عناصر مهم توسعه پایدار مطرح میباشند، یکی از مسائل مهم، اندازهگیری کا Moreدر سالهای اخیر توجه عمومی به مسائل زیست محیطی به نحو چشمگیری افزایش یافته است. با توجه به افزایش نگرانیها در رابطه با کیفیت محیط زیست، تغییرات آب و هوایی و انتشار آلایندههای زیست محیطی که به عنوان عناصر مهم توسعه پایدار مطرح میباشند، یکی از مسائل مهم، اندازهگیری کارآیی زیست محیطی است. هدف اصلی این پژوهش بررسی کارایی زیست محیطی کشورها با رهیافت تحلیل پوششی دادهها (DEA)با در نظر گرفتن خروجیها، به صورت فاکتورهای مطلوب و نامطلوب اثرگذار در تغییرات زیست محیطی( ۷ ورودی و ۷ خروجی) سال 1399 در 176 کشور استفاده شده است. واحدها با استفاده از مدل های CCR و AP به منظور رتبه بندی هر دو گروه واحد های کارامد و ناکارامد ارزیابی شدند. نتایج نشان میدهند کارایی زیست محیطی کشورهای منتخب به طور متوسط 80.60 درصد میباشد، که از بین کشورهای تحت بررسی، کشور ایران با کسب کارایی 0.58 دارای رتبه 140 بوده و کشورهای ایسلند، سنگاپور و لسوتو به ترتیب دارای بیشترین کارایی زیست محیطی و همچنین کشورهای سیرا لئون، فیلیپین و پاکستان به ترتیب دارای کمترین کارایی زیست محیطی هستند. Manuscript profile -
Open Access Article
120 - تحلیل مدل ارزیابی عملکرد واحدهای سازمانی با رویکرد سینک - تاتل به کمک تحلیل پوششی دادهها
نازیلا ادب آوازه احمد عدالت پناه مهرزاد نوابخشتحولات شگرف محیط کسب و کار، وجود نظام ارزیابی عملکرد را اجتنابناپذیر کرده است. ارزیابی عملکرد جامع، تلاشی برای شناخت توان بالقوه و نقش واحدهای نهادی در اثرگذاری بر عملکرد سازمانها است. هدف پژوهش حاضر، تحلیل ارزیابی عملکرد در هفت بعد مدل سینک و تاتل به کمک تحلیل پوششی Moreتحولات شگرف محیط کسب و کار، وجود نظام ارزیابی عملکرد را اجتنابناپذیر کرده است. ارزیابی عملکرد جامع، تلاشی برای شناخت توان بالقوه و نقش واحدهای نهادی در اثرگذاری بر عملکرد سازمانها است. هدف پژوهش حاضر، تحلیل ارزیابی عملکرد در هفت بعد مدل سینک و تاتل به کمک تحلیل پوششی دادهها است. برآیند هفت بعد مدل سینک- تاتل، ایجاد نظام ارزیابی عملکرد جامعی در سازمانها است که پیامد وجود چنین نگرشی، بهبود عملکرد سازمانی خواهد بود. مدل پیشنهادی، تمامی شاخصهای مهم عملکرد را پوشش میدهد و با قابلیت تعمیمپذیری و ارزیابی واقع بینانهتر نسبت به سایر نظام های ارزیابی عملکرد، گام می بردارد. در این پژوهش، عملکرد هشت واحد سازمانی شرکت نیپا، مورد ارزیابی قرار گرفته است. «مجموع مولفههای هفت بعد مدل سینک و تاتل» نهاده و «سطح عملکرد واحدهای سازمانی» ستاده مدل پیشنهادی را تشکیل دادهاند. برای بهبود عملکرد سازمانی «هماهنگی بین استراتژیها، ایجاد بستر یادگیری سازمانی و مدیریت دانش» توصیه میشود. همپوشانی نتایج ارزیابی مدل سینک و تاتل و تحلیل پوششی داده ها، بیانگر اعتبار مدل پیشنهادی است. در واحدهای ناکارا میتوان با اجرای آموزش، تغییر افراد کلیدی، توسعه نظام مشارکتی، استقرار نظام ارزشیابی عملکرد با معیارهای مناسب و توسعه مدیریت بر مبنای هدف اقدام نمود. نتایج مدل پیشنهادی ارزیابی عملکرد، به عنوان بخش اصلی تدوین و اجرای سیاست سازمانها قابل کاربرد است. Manuscript profile -
Open Access Article
121 - Evaluation of productivity, efficiency and ranking of thermal power plants: an approach based on stochastic data envelopment analysis
Mehdi KhodadadipourIn data envelopment analysis, different models are developed in different fields with different data for evaluation and ranking of DMUs. While in many applications issues, unit managers are faced with stochastic data, and they need a method to evaluate their supervised MoreIn data envelopment analysis, different models are developed in different fields with different data for evaluation and ranking of DMUs. While in many applications issues, unit managers are faced with stochastic data, and they need a method to evaluate their supervised units in a way that can evaluate and rank such DMUs. When working with stochastic data, considering the probability of occurrence of unpredictable states (the level of error) provided by managers, the DMUs are evaluated. In this paper using Probability statistics techniques and normal distribution and the BCC model with undesirable outputs and a specific risk ofSpecified,a new stochastic model called Expected Ranking Criterion is introduced. Based on this,the stochastic cross-efficiency evaluation. Given the non-uniqueness of resulting optimal solutions, a model is introduced for rating priorities by which cross-efficiency is performed using aggressive method. The proposed model is implemented for 32 thermal power plants with stochastic inputs and undesirable outputs. Manuscript profile -
Open Access Article
122 - A Comparative Study of the Efficiency of Insurance Companies in Iran and MENA Countries
Sousan Shokoohigol Ali DehghaniThe critical role and status of the insurance industry in the modern economy is inevitable. In recent years, particular attention has been paid to the efficiency of insurance companies in Iran. In the sixth program policies, this issue has also been emphasized. A brief MoreThe critical role and status of the insurance industry in the modern economy is inevitable. In recent years, particular attention has been paid to the efficiency of insurance companies in Iran. In the sixth program policies, this issue has also been emphasized. A brief review of the indicators of the level of insurance penetration, insurance density and the percentage of the total insurance premiums of the world indicate that so far this industry has not achieved its status in the national economy. The first step in the development of insurance is to consider whether insurance companies in Iran, with regard to their resources, are efficient? To this end, insurance industry of Iran and other countries of the MENA were examined. In this study, to measure technical efficiency, non-parametric method of data envelopment analysis and parametric method of stochastic boundary function estimation - to identify the factors affecting the efficiency of insurance companies - and non-parametric method adjustment have been used. Based on the results, the growth of GDP per capita and technical reserves has a positive and significant effect on insurance industry efficiency and the insurance industry of Iran has the highest efficiency among MENA countries Manuscript profile -
Open Access Article
123 - رابطه بین شاخص های ثبات با کارایی فنی بانکهای ایران طی سالهای (1395-1383)
محمود عیسوی فتح اله تاری حبیب انصاری سامانی حسن عموزاد خلیلی -
Open Access Article
124 - An Appraisal of Rating of Mutual Funds Performance in Iran
امید علی عادلیThe mutual funds are suitable instrument for individuals and legal in order to investment. Evaluating and rating of these mutual funds can be useful guide for investment. The aim of this study was ranked active mutual fund in Iran. For this purpose, the statistical data MoreThe mutual funds are suitable instrument for individuals and legal in order to investment. Evaluating and rating of these mutual funds can be useful guide for investment. The aim of this study was ranked active mutual fund in Iran. For this purpose, the statistical data during December -2011 to the end of the period of December 2016 (5 years) is used. The mutual funds selected on the basis traditional criteria and DEA are ranked. Then, according to numerous criteria to rank the full funds have been used TOPSIS. Input and output surplus return funds in traditional measures of risk indicators and data envelopment analysis inputs and outputs, including a variety of risk factors, including the rate of return and of course have been better. After ranking all funds with 8 criteria to criteria used in the ranking of TOPSIS. The results showed that among the 17 funds surveyed Firouzeh, Burseiran and Agah aware ranked first to third and Pishgam fund, brokerage Agricultural Bank fund and the Ganjeneh Refah fund have the final ranking. Manuscript profile -
Open Access Article
125 - سنجش کارایی نسبی و رتبه بندی شعب بانکها، رویکرد پنجره ای: مطالعه موردی استان زنجان
هما درودی محمد باقر امینی -
Open Access Article
126 - Dynamic Prediction of Financial Distress: A Case Study
Hamid Rahimi Mehrzad Minooei mohammad reza fathiAbstract Considering the current economic conditions of the country, the number of helpless companies and the importance of financial helplessness are increasing day by day. The increase in economic factors affecting financial helplessness has also increased the comple MoreAbstract Considering the current economic conditions of the country, the number of helpless companies and the importance of financial helplessness are increasing day by day. The increase in economic factors affecting financial helplessness has also increased the complexity of investment decisions for these companies. For this purpose, the approach presented in this research, taking into account various financial criteria, provides the possibility of dynamic forecasting of Financial Distress for these decision makers. makes The approach introduced in this research is first by clustering the companies in the proportional cluster of financially helpless and non-helpless with the help of artificial neural network method, self-organizing mapping (SOM) and then by using the data envelopment analysis method based on the worst performance (WPF-DEA). A dynamic forecast of the financial helplessness of the companies admitted to the Tehran Bahadur Stock Exchange was carried out. Using the mentioned method, 105 companies were evaluated and the result of the inefficiency of these companies was predicted during 5 time periods from 2015 to 2019. The dynamic data coverage analysis model based on the worst performance has the ability to evaluate the inefficiency of the examined units, including companies that are members of the Stock Exchange and Securities Organization. Data envelopment analysis has been able to successfully identify the financial helplessness of companies as inefficient decision units. Manuscript profile -
Open Access Article
127 - Measuring and ranking the Ease of business Efficiency in Iran and Selected Countries
mostafa mardani najafabadi nasrin ohadi farshad razmavarExistence of appropriate business environment and need assessment of factors affecting it to improve national production process and creating new economic capacities is undeniable. The purpose of this study is measuring and ranking the easiness of efficiency of business MoreExistence of appropriate business environment and need assessment of factors affecting it to improve national production process and creating new economic capacities is undeniable. The purpose of this study is measuring and ranking the easiness of efficiency of business in upward middle-income countries over a four-year period (2017-2020). For this purpose, 63 middle-income countries were evaluated with fuzzy dynamic multi-objective data envelopment analysis techniques in 10 areas of starting a business, obtaining construction license, cost of energy(electricity), registered property, obtaining credit, protecting minority Investors, paying taxes, cross-border trade, enforcing contracts and bankruptcy. The results showed that there is great potential for increasing efficiency and productivity in all inputs, the success of doing business in different countries is largely influenced by factors such as starting a business, cross-border trading, receiving electricity and supporting minority investors. Guatemala has been ranked one as the best performance in ease of businesses in 2019 and 2020, according to research findings while Iceland's has the worst rankings in 2018 and 2019, and Iran ranked 51st, following an improving trend in 2020 with 29 steps down Manuscript profile -
Open Access Article
128 - الگوریتم مرکب از تحلیل پوششی دادهها (DEA) و فرآیند تحلیل شبکهای (ANP) در ارزیابی عملکرد در دانشکدهها
اسماعیل نجفی مهدی یزدانی الهه شریعتمداری سرکانی مصطفی مردی -
Open Access Article
129 - تبیین کارایی و تحلیل بازدهها نسبت به مقیاس صنعت برق کشور
محمدرضا حمیدیزاده مرجان شهابالدینی -
Open Access Article
130 - ارائه یک روش ترکیبی از ANP و مدل SAR در تحلیل پوششی دادهها جهت مقایسه و رتبهبندی گزینهها (مطالعه موردی: محصولات شرکت کرمان موتور)
علیرضا علی نژاد آرش پرویزی -
Open Access Article
131 - ارزیابی عملکرد شرکتهای داروسازی پذیرفتهشده در بورس اوراق بهادار تهران با استفاده از رویکرد ترکیبی تحلیل پوششی داده ها و داده کاوی
علیرضا علی نژاد جواد خلیلی -
Open Access Article
132 - رابطه توانایی مدیریت با اجزاء مدیریت ریسک یکپارچه
فرزین رضایی اکرم فیروز علیزاده الهام نورمحمدی -
Open Access Article
133 - Managerial over Confidence, Corporate Social Responsibility Activities, Corporate Performance and Financial Constraints
Mohadeseh Shaghaghi Shahnaz MashayekhAbstract The purpose of this study was to investigate the relationship between management overconfidence and social responsibility, to investigate the relationship between corporate social responsibility and performance with the moderating role of managerial overconfid MoreAbstract The purpose of this study was to investigate the relationship between management overconfidence and social responsibility, to investigate the relationship between corporate social responsibility and performance with the moderating role of managerial overconfidence and to investigate the relationship between corporate responsibility and corporate performance with the role of moderating financial constraints. This study is an appliedresearch in terms of purpose and a descriptive-correlation research in terms of nature and method. The statistical population of this research is the companies listed on the Tehran Stock Exchange. Using the data collected from the statistical sample of the research, which includes 138 companies, the research hypotheses were tested. To calculate managerial overconfidence, the capital expenditure ratio was used and to calculate the corporate social responsibility index, data envelopment analysis (DEA) method was used. Social accountability Data envelopment analysis method was used. The results show that managerial overconfidence has a positive and significant relationship with corporate social responsibility. Also, managerial overconfidence weakens the relationship between corporate social responsibility and company performance, and financial constraints do not moderate the relationship between corporate social responsibility and company performance. Manuscript profile -
Open Access Article
134 - Mutual fund performance with a different approach to data envelopment analysis
Fatemeh MehreganDespite the large number of mutual funds available to investors, paying attention to their ratings is important. Many ranking approaches use subjective weights to integrate fund performance across different time horizons, which can lead to completely different ranking.S MoreDespite the large number of mutual funds available to investors, paying attention to their ratings is important. Many ranking approaches use subjective weights to integrate fund performance across different time horizons, which can lead to completely different ranking.So far, the efficiency of the funds has been calculated in the valuation of the funds with the help of data envelopment analysis, and then the portfolio is selected from the efficient funds. In this paper, a new approach and application of the philosophy of data envelopment analysis (input reduction and output increase) is applied and generalized to the concept of risk and return. The proposed model is a new nonparametric technique that focuses on the simultaneous estimation of contractile (risk) and expansion (return) potentials. This approach eliminates any need for mental such as the importance, weighting, and meaningfulness of actions across different time horizons. This approach, based on the performance of the underlying fund relative to other funds, assigns a score to the underlying fund, on which it can rank the funds.This model has been applied to a sample community of 26 mutual funds. The clear results and unique ratings indicate the ability of this model to evaluate and ranking. Manuscript profile -
Open Access Article
135 - Presentation DEA - MLP Neural NetworkModel in Selecting the Optimal Portfolio: Reviewing the Information Content of Accounting Criteria, Value-Based Criteria and BSC Criteria
Hasan Fattahi Nafchi mehdi arabsalehi Majid EsmaelianLogical investment decisions require attention to different factors and different criteria at the same time. This goal can be achieved using various methods and algorithms. The purpose of this study is to develop an optimal stock portfolio model using a combination of d MoreLogical investment decisions require attention to different factors and different criteria at the same time. This goal can be achieved using various methods and algorithms. The purpose of this study is to develop an optimal stock portfolio model using a combination of data envelopment analysis methods, anomaly clustering algorithm and MLP neural networks.The statistical population of the research is the accepted companies in Tehran Stock Exchange during the period of 1386 to 1396. To create an optimal stock portfolio, all available criteria were grouped to reach the optimal stock portfolio.Then, the results were compared in different approaches based on the Sharp ratio. The results of the research indicate that using the combination of data envelopment analysis, anomaly clustering, MLP neural networks and accounting metrics in the provision of an optimal portfolio of stocks led to Increasing Sharp's ratio compared to other approaches (Risk and Efficiency, Value-Based, and Balanced Scorecard). In general, the simultaneous use of hybrid optimization techniques and comprehensive criteria derived from accounting reports can provide a more efficient basket of portfolios and more desirability for the investors. Manuscript profile -
Open Access Article
136 - Design of Credit Risk Assessment Model by Predicting Credit Rating Transfer Using Markov Chain Process
Farid Heidarifar Farhad Hanifi gholamreza zomorodianIn the present study, he presented a statistical sample related to the information of legal and credit customers of Tejarat Bank, accepted in the stock exchange during the years 1398 to 1399. Using factor analysis technique and Delphi method, the variables affecting cre MoreIn the present study, he presented a statistical sample related to the information of legal and credit customers of Tejarat Bank, accepted in the stock exchange during the years 1398 to 1399. Using factor analysis technique and Delphi method, the variables affecting credit risk were selected and entered into the data envelopment analysis model, and the performance scores of law firms were obtained using them, and then ranked by the Fitch Institute model. Performing and using the results to predict the movement of customers in different groups using the Markov chain process. The results of data envelopment analysis indicate that 7 companies were identified as efficient in the financial approach and 12 companies in the combined approach. The results of the Markov chain show that the average probability of stopping at the current rank in 1400 in the financial condition is 46% and in the combined mode is 53%, the average probability of improving the situation of companies is 23% and the average probability of falling is 20%. Manuscript profile -
Open Access Article
137 - Evaluation of financial performance of Iranian insurance companies using two-stage data envelopment analysis technique
Reza Sanei Mohammad fallah Farhad Hosseinzadeh Lotfi Farzad Movahedi Sobhani,insurance companies as one of the most important financial institutions have a special place in economic growth and development , so that efficient performance of this sector will affect other economic sectors.Therefore, evaluating the performance of companies operating Moreinsurance companies as one of the most important financial institutions have a special place in economic growth and development , so that efficient performance of this sector will affect other economic sectors.Therefore, evaluating the performance of companies operating in this industry and identifying their strengths and weaknesses is of great importance. One of the performance appraisal techniques that has received a lot of attention in recent years is data envelopment analysis. In this paper, using the two-stage model of SORM-SBM data envelopment analysis, the performance evaluation of 21 insurance companies operating in Iran with financial indicators has been performed, which in addition to total efficiency, calculates and shows the efficiency of each company in both marketing and profitability. The company's performance is efficient if it has been efficient in both areas. The model values for each company are also calculated and the relationship between these values and total performance is shown Manuscript profile -
Open Access Article
138 - Evaluating the performance of bank branches using fuzzy network data envelopment analysis model with optional input-undesirable output
Hasan Amini Javid` Mohammad Ebrahim Mohammadpoor Zarandi Mirfeiz fallahshams naghi shojaThe purpose of this research is to provide a model for evaluating the performance of bank branches using the network coverage analysis model using fuzzy data. In this research, an attempt was made to use a model based on the traditional model of data envelopment analysi MoreThe purpose of this research is to provide a model for evaluating the performance of bank branches using the network coverage analysis model using fuzzy data. In this research, an attempt was made to use a model based on the traditional model of data envelopment analysis, taking into account factors such as the network nature and internal relationships of each decision-making unit, undesirable output, non-optional input, and the variables having a fuzzy nature. which is more consistent with the actual conditions related to the decision-making units and calculates the efficiency in a more accurate way.After presenting the research model, first, based on the studies conducted in the past researches and field studies and obtaining opinions from experts in this industry, indicators were considered as input and output. After identifying the indicators, fuzzy Delphi method was used for initial screening of the indicators. In the following, confirmatory factor analysis technique was used to finalize the screened indicators. At the end of the research, the developed model was solved using the data collected from the studied branches, by Gams software and with the alpha cutting approach. The results indicate that among the 34 investigated branches, 8 are efficient and 26 are ineffective. Manuscript profile -
Open Access Article
139 - Evaluate the performance of bank branches using the control approach in analyzing the data cover weight
mahnaz Ahadzadeh Namin elaheh khamseh Farzaneh MohamadiDEA-based methods for assessing the effectiveness of data envelopment analysis (DEA), in which the input and output weights are limited, has the ability of bank branches to use unlimited weights that are consistent with exaggerated judgments, adjusted prices, taking int MoreDEA-based methods for assessing the effectiveness of data envelopment analysis (DEA), in which the input and output weights are limited, has the ability of bank branches to use unlimited weights that are consistent with exaggerated judgments, adjusted prices, taking into account the risk associated with operating costs and costs Non-operational. In this paper, we evaluate the performance of first-class branches of a commercial bank in Iran using the weight limitation model in data envelopment analysis. Firstly, the important indicators for assessing the performance of bank branches were identified according to previous studies and then, according to the opinion of the banking experts and data envelopment analysis, to evaluate the efficiency of the first grade bank branches, which include two input indicators and four output indicators, will be finalized. After collecting information about 40 first-class branches of the bank in two half-yearly years in 1395, the DEA model will be evaluated without any restrictions on the first grade bank branches. This will also be done with limited DEA models. Finally, using descriptive statistics and statistical tests, we will show that the applied weight limit improves the performance of the performance of first-class bank branches. Manuscript profile -
Open Access Article
140 - A new model for calculating the efficiency of existing cement companies with a network structure (an application of data envelopment analysis)
Mohammad hossein darvish motevalli Farhad hosseinzadeh lotfi naghi shoja amir gholamabriThe purpose of this paper is to present a new model of data envelopment analysis with network structure to evaluate the performance of Tehran cement companies. For this purpose, cement companies listed on the stock exchange during the years 93-95 were evaluated. The res MoreThe purpose of this paper is to present a new model of data envelopment analysis with network structure to evaluate the performance of Tehran cement companies. For this purpose, cement companies listed on the stock exchange during the years 93-95 were evaluated. The results showed that the new model can evaluate the performance of these factories - which have a network structure and include multiple indicators - and, in addition to commonly used financial and technical indicators, to consider undesirable outcomes and sustainability criteria in the supply network. Meanwhile, the mindset of decision makers about the preferential importance of some indicators relative to each other is also considered in the form of weight constraints to bring the efficiency closer to the real value. According to the results, the factories are divided into two categories: efficient and inefficient. Based on this new model, only 7 cement supply companies have been able to achieve efficiency within the three surveyed periods of the 42 listed companies. Manuscript profile -
Open Access Article
141 - تحلیل بنیادی سهام با استفاده از تحلیل پوششی دو مرحلهای
سیده عاطفه حسینی منیره ابویی مهریزی جواد حلوایی اسماعیل شاه طهماسبی رامین وران -
Open Access Article
142 - ارزیابی کارایی نسبی شرکت هواپیمایی جمهوری اسلامی ایران (هما) در مقایسه با شرکتهای برتر هواپیمایی جهان با استفاده از تحلیل پوششی دادهها (DEA)
محمد علی افشارکاظمی عباس طلوعی اشلقی رکسانه چرخچی -
Open Access Article
143 - Performance Evaluation of Stocks in Different Time Periods under Uncertainty: Fuzzy Window Data Envelopment Analysis Approach
Pejman Peykani Emran Mohammadi farhad hosseinzadehlotfi reza tehrani Mohsen Rostamy-MaslkhalifehThe purpose of the present study is to provide a fuzzy window data envelopment analysis (FWDEA) model in order to financial performance evaluation of stocks over different time periods under the uncertainty of the data. In other words, in this research, we will try to p MoreThe purpose of the present study is to provide a fuzzy window data envelopment analysis (FWDEA) model in order to financial performance evaluation of stocks over different time periods under the uncertainty of the data. In other words, in this research, we will try to present a new approach to assess the stock's performance with the ability to be implemented in the presence of uncertain panel data. Because the use of information about several time periods rather than a time period, as well as taking into account the uncertainty in the data, can lead to more reliable results in the process of stock evaluation. It is necessary to explain that in modeling and presenting the mentioned approach, data envelopment analysis, window analysis and possibilistic programming have been used. Finally, the fuzzy window data envelopment analysis model was implemented on 5 stocks of the chemical industry in Tehran stock exchange for four periods from 2013 to 2016, and the results indicate that the FWDEA method is effective. Manuscript profile -
Open Access Article
144 - The Relationship between Managers' Efficiency in Creating Operational Cash Flows on Real Earnings Management
Mohaddese Abedini Bahman Banimahd Mehdi Moradzadehfard Azam Shokri CheshmehsabziAbstractBusiness enterprise management should always look for opportunities to increase the value of the company. Without generating sufficient cash, new products cannot be produced and sold, therefore, the value of fim will not improve without generating sufficient ope MoreAbstractBusiness enterprise management should always look for opportunities to increase the value of the company. Without generating sufficient cash, new products cannot be produced and sold, therefore, the value of fim will not improve without generating sufficient operating cash. Therefore, the purpose of this research is to measure the efficiency of managers in creating operating cash flow based on data envelopment analysis, in line with the goals of financial reporting, and then examine the relationship between the efficiency score and real earnings management. The statistical population of the research is the companies listed in the Tehran Stock Exchange. Theoretical foundations and research data have been collected according to library studies. Multivariable linear regression was used for statistical analysis. The results of this research show that the efficiency of managers in creating operating cash flows during the research period is a downward trend. Also, the efficiency of managers in creating operating cash flows has a negative and significant relationship with real earnings management. Manuscript profile -
Open Access Article
145 - Scruting the performance of commodity suppliers and contractors, supply chain gas company province charmahal and bakhtiari by methodology dea
mahin fazeli farsani fatemeh ziglari shahram AsadiNowadays the need for more specialized businesses based on market demand for the goods and services as well as customized consumer trends, strategic alliances and organizations need to have a unified supply chain. In this case, selection of suppliers in line with long-t MoreNowadays the need for more specialized businesses based on market demand for the goods and services as well as customized consumer trends, strategic alliances and organizations need to have a unified supply chain. In this case, selection of suppliers in line with long-term goals and strategies not only increases efficiency, but also the effectiveness of the activities, the efficiency of the organization will be effective as well. The objective of this study was to scrute the performance of two groups of commodity suppliers and contractors supply chain gas province, which was conducted using data envelopment analysis. Data from this study for suppliers of goods, in addition to written documentation by gas firm the questionnaire that was sent to the experts of commodity gas companies across the country, but only 10 of them responded, and data on contractors by standard questionnaire itself now collected. Results showed that the most important factor that should be according suppliers is the most important indicator of the contractors operating the facility and equipment, as well as suppliers and contractors performance and can be set at one hundred percent rated suppliers and contractors, and other achievements of this study select a model for commodity suppliers and contractors gas Company is Chaharmahal and Bakhtiari Province Manuscript profile -
Open Access Article
146 - Application of Artificial Neural Network to Estimate the Strategic Value Creation Via Relative Efficiency in the Automotive Industry
Akbar Valizadeh Oghani Nasser Fegh-hi Farahmand Farzin Modarres Khiabani Majid Bagherzadeh The purpose of this study is to investigate the effect of relative efficiency of companies on value creation in the automotive industry accepted in Tehran Stock Exchange. The data were extracted from the financial statements of selected companies during in the 2 More The purpose of this study is to investigate the effect of relative efficiency of companies on value creation in the automotive industry accepted in Tehran Stock Exchange. The data were extracted from the financial statements of selected companies during in the 2013-2017. Initially, with the implementation of the DEA model with a native model, the relative efficiency is determined for each company. Then the strategic 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. The results show that the implementation of the artificial neural network model in the automotive industry explains the strategic value of the companies to a satisfactory level through the relative efficiency index and other input variables. Although some of the companies are efficient, such as Rana Investments Co., Khawar Spring Co., Saipa Diesel, Bahman Group and Charkheshgar Co., But in recent years, the automotive industry has been inefficient. At the same time, companies in this industry have somehow been able to strategically create value for their shareholders and their owners. Manuscript profile -
Open Access Article
147 - Development of network data envelopment analysis model to evaluate the technical efficiency of the pharmaceutical industry
Seyede Elham Eftekharian Seyed Farzad Hashemi Ali Nemati Razieh Mehrjoo Mahnaz Ahadzadeh NaminThe purpose of this article is to evaluate the technical efficiency of listed companies in the pharmaceutical industry in 2021. To achive this, the additive model of two-stage network data envelopment analysis was investigated with semi-positive and negative indicators MoreThe purpose of this article is to evaluate the technical efficiency of listed companies in the pharmaceutical industry in 2021. To achive this, the additive model of two-stage network data envelopment analysis was investigated with semi-positive and negative indicators and simultaneously considering the production process(Fundamental Analysis) in the first stage and the financial production process (Technical Analysis) in the second stage. In addition, FAHP applied to determine the weights of the first and second stages. The results showed: the production process is more important in defining the total efficiency of a company in the Stock Exchange. In the first stage, %33 and in the second stage, %25 of the pharmaceutical industry companies achieved full efficiency of one. According to the efficiency one of %13 companies of the studied industry in both first and second stages, the efficiency of the mentioned companies was also full and found to be one; These companies include Toliddaru, Exir Pharmaceutical and Loghman Pharmaceutical & Hygienic Companies. The lowest total efficiency belongs to Sobhan Pharmaceutical Group. In general, 88% companies of the studied industry have an efficiency higher than 0.5. Manuscript profile -
Open Access Article
148 - Assessing the sustainability in the tomato paste supply chain using the principles of natural accessibility, management and bootstrap simulation
Masoud Vassei Maryam Daneshmand-Mehr Morteza Bazrafshan Armin Ghane KanafiData envelopment analysis is used for better understanding of data, more transparency and deeper understanding of patterns, relationships and characteristics of data. Data envelopment analysis is able to ensure that the data used in the analysis and decisions are comple MoreData envelopment analysis is used for better understanding of data, more transparency and deeper understanding of patterns, relationships and characteristics of data. Data envelopment analysis is able to ensure that the data used in the analysis and decisions are complete. By examining the data coverage, it is possible to see whether every possible value is present in the key variables and whether every row or observation required for the analysis is sufficiently responsive. The main goal of this research is to provide a framework for measuring the sustainability of supply chain performance using the principles of natural accessibility, management and bootstrap simulation. Therefore, in this article, a new model for evaluating sustainable supply chain performance will be presented using network data envelopment analysis and bootstrap simulation through the integration of principles governing natural and managerial accessibility. In this model, the key factors of the sustainable supply chain including economic, social and environmental factors will be considered as inputs and outputs in the data coverage analysis model. In addition, the inputs are considered in both managerial (under control) and non-managerial (uncontrolled) ways according to the principles of natural and managerial accessibility. Then, by using the bootstrap simulation method, and building the required data, the estimation of the network efficiency score for the decision making units is carried out. To illustrate the proposed method, a real case study is considered in the tomato paste supply chain network. According to the results, the accuracy of the used method has been shown. Manuscript profile
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