خروجی نامطلوب

Open Access Article

1 - Measuring the efficiency of a three-stage network using data envelopment analysis approach considering dual boundary
Ehsan. Vaeezi S. Esmail. Najafi Seyed Mohammad. Haji Maulana Farhad, Hosseinzadeh Lotfi Mahnaz. Ahadzadeh Namin

This paper presents a method for performance evaluation, ranking and clustering based on the double-frontier view to analyze the complex networks. The model allows us to open the structure of the “black box” and can help to obtain important information about More

This paper presents a method for performance evaluation, ranking and clustering based on the double-frontier view to analyze the complex networks. The model allows us to open the structure of the “black box” and can help to obtain important information about efficient and inefficient points of the system. In this paper, we consider a three-stage network, in respect to the additional desirable and undesirable inputs and outputs and utilize the cooperative approach to measure the efficiency of the overall system. Due to the fact that, a conclusion implying only one of these two, optimistic or pessimistic views is one-sided and incomplete, so, in this paper we used the double-frontier to analyze the network. Moreover, a heuristic technique was used to convert non-linear models into linear models. After obtaining the effective and inefficient points of the network, the DMUs are classified into several clusters by the k-means algorithm.Finally, in this article, in order to apply the proposed model a factory producing dairy products with a production area, warehouse premises and a delivery point are simulated. This factory has been regarded as a dynamic network with a time period of 24 intervals. The results of the ranking showed that, the time periods, (10) and (1) were the best and poorest respectively, in context to the efficiency within 24 phases of time. Manuscript profile

Open Access Article

2 - Most Productive Scale Size with Environmental Factors in Data Envelopment Analysis
Hajar Haghighatpisheh Sohrab Kordrostami Alireza Amirteimoori

Nowadays, evaluating the efficiency of entities and knowing how resources should be organized is a significant aspect in order to achieve optimal results. One of methods for the performance evaluation is data envelopment analysis (DEA). Also, one of the important DEA to More

Nowadays, evaluating the efficiency of entities and knowing how resources should be organized is a significant aspect in order to achieve optimal results. One of methods for the performance evaluation is data envelopment analysis (DEA). Also, one of the important DEA topics is the most productive scale size (MPSS) estimation. Due to the presence of undesirable factors in the production systems, models are suggested in this paper for evaluating MPSS and determining the largest and smallest MPSS (nearest and farthest points of MPSS) while undesirable outputs with weak disposability are available. Models proposed determine the role of environmental factors in the performance estimation of units. These models can be used in factories, hospitals and as well as environmental protection for continual monitoring on the environmental situation affected by industrial activities and also showing the impact of environmental factors in measuring the efficiency. We use data from the Chinese industry to present the theoretical results. Manuscript profile

Open Access Article

3 - Cost Efficiency of Closed–Loop Supply Chain in the Presence of Dual-Role and Undesirable Factors
M. Jahani Sayyad Noveiri S. Kordrostami A.R. Amirteimoori

Supply 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 More

Supply 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

4 - Ranking of decision making units based on cross efficiency by undesirable outputs and uncertainity
N. Aghayi

Cross 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 More

Cross 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

5 - Congestion measurement in data envelopment analyses under weak disposability of desirable and undesirable outputs in a Two-phase Network
R. Rastgoo M. Rostami Malkhalifeh

Congestion is one of the main issues in data envelopment analyses which have particular importance. Recently researches about congestion, whether in economic articles or in Operations Research articles in had grown increasingly. Congestion is a wasteful stage of the pro More

Congestion is one of the main issues in data envelopment analyses which have particular importance. Recently researches about congestion, whether in economic articles or in Operations Research articles in had grown increasingly. Congestion is a wasteful stage of the production process where outputs are reduced due to excessive amount of inputs. In economics, congestion is very important because elimination of it results in decrease in costs as well as increase in outputs. Therefore the benefits of recognition of density and decreasing of it are high. In this paper, we will be introduced a method for definition and calculation of congestion degree under weak disposability of desirable and undesirable outputs in a Two-phase Network. And we will present a model for definition and calculation of congestion value considering desirable and undesirable final outputs. Manuscript profile

Open Access Article

6 - Performance Measurement of Decision Making Units with Network Structure in the Presence of Undesirable Output
P. Peykani E. Mohammadi

In the performance evaluation process, using the classic data envelopment analysis (DEA) models, decision making units (DMUs) are considered as black boxes. While in many cases and different applications such as investment funds, banks, insurance companies, etc., DMUs h More

In the performance evaluation process, using the classic data envelopment analysis (DEA) models, decision making units (DMUs) are considered as black boxes. While in many cases and different applications such as investment funds, banks, insurance companies, etc., DMUs have a network structure. In addition, in many network structures, some of the indicators used to calculate the efficiency of DMUs have an undesirable nature. Therefore, it is necessary to provide an effective approach that takes into account the internal structure of the DMus and the inter-organizational relationships in the calculation of efficiency and also is capable to be used in the presence of undesirable data. Accordingly, the purpose of the present study is to provide a network data envelopment analysis (NDEA) model in order to performance assessment of DMUs with a two-stage structure in the presence of undesirable outputs. It should be noted that according to the two-stage structure of investment companies and the presence of undesirable output in their evaluation process, ten investment companies from Tehran Stock Exchange have been selected as a case study for the research. Finally, the results of their performance evaluation by applying the proposed approach of research have been analyzed. Manuscript profile

Open Access Article

7 - Application of fuzzy network data envelopment analysis model with optional input-undesirable output in order to evaluate the performance of bank branches
Hasan Amini Javid mohammad ebrahim Mohammadpoor zarandi MIRFEYZ FALLAH naghi, shoja

10.30495/jfksa.2023.22611

The issue of efficiency evaluation is one of the most important challenges facing managers in the dynamic and vital banking industry. Due to the very important and fundamental role of banks in most economic activities, the study of bank efficiency has a special place. M More

The issue of efficiency evaluation is one of the most important challenges facing managers in the dynamic and vital banking industry. Due to the very important and fundamental role of banks in most economic activities, the study of bank efficiency has a special place. Models based on data envelopment analysis had wide applications in the field of measuring and evaluating the efficiency of banks. In this study, we tried to add other assumptions to the traditional model of data envelopment analysis, using a model that is more consistent with the real conditions related to decision-making units and calculates the efficiency more accurately. In designing the data envelopment analysis model in the present study, attention has been paid to the networking and internal relations of each decision-making unit, undesirable output, involuntary input and the fuzzy nature of the variables. After developing the model with the mentioned assumptions, first, based on reviewing previous studies as well as field studies and obtaining opinions from industry experts, indicators considered as input and output. After identifying the indicators, fuzzy Delphi method used for initial screening of the identified indicators from the research literature. After the initial approval of the indices, the indices analyzed using the confirmatory factor analysis technique. Finally, the research model solved using data collected by GAMS software and with alpha-cutting approach. The results show that out of 38 branches examined, 8 branches are efficient and another 30 branches are inefficient. Manuscript profile

Open Access Article

8 - فاکتورهای نامطلوب و بهبود کارایی در تحلیل پوششی داده ها
M. Eyni M. Khodadadi

در این مقاله، تعیین سطح خروجی های واحد های تصمیم گیری را با توجه به بهبود کارایی آنها در صورتی که تعدادی از خروجی ها نامطلوب باشند با ارجحیت محدویت های مخروطی بحث و بررسی می شود. وقتی بعضی یا همه مولفه های  سطح ورودی افزایش  یابد  و  سطح کارایی فعلی More

در این مقاله، تعیین سطح خروجی های واحد های تصمیم گیری را با توجه به بهبود کارایی آنها در صورتی که تعدادی از خروجی ها نامطلوب باشند با ارجحیت محدویت های مخروطی بحث و بررسی می شود. وقتی بعضی یا همه مولفه های  سطح ورودی افزایش  یابد  و  سطح کارایی فعلی بهبود یابد سطح خروجیDMU   تخمین زده می شود. برای ارزیابی  سطح خروجی  ها، از تحلیل  پوششی داده های(DEA) معکوس  و مدل برنامه ریزی خطی چندچندهدفه (MOLP) استفاده شده است. روش پیشنهادی با به کاربردن آن در مورد بانک  توضیح داده  می شود. Manuscript profile

Open Access Article

9 - طراحی مدل ارزیابی کارایی شبکه ای تولید دو مرحله ای، با خروجی مطلوب و نامطلوب (مطالعه موردی صنعت تولید کره)
عاطفه شیروانی امیر عزیزی

10.30495/ijim.2022.65237.1568

تعیین و سنجش کارایی، راهبردی مهم در تصمیم گیری‌ها می باشد با توجه به شفاف نبودن میزان کارایی مراحل تولید در واحدهای تولیدکره گیری، هدف این پژوهش، طراحی مدل تحلیل پوششی داده ها برای ارزیابی کارایی مراحل تولید این واحدها میباشد.روش این پژوهش، که نوآوری این پژوهش برای این More

تعیین و سنجش کارایی، راهبردی مهم در تصمیم گیری‌ها می باشد با توجه به شفاف نبودن میزان کارایی مراحل تولید در واحدهای تولیدکره گیری، هدف این پژوهش، طراحی مدل تحلیل پوششی داده ها برای ارزیابی کارایی مراحل تولید این واحدها میباشد.روش این پژوهش، که نوآوری این پژوهش برای این جامعه پژوهشی میباشد بدین صورت است که، با الگوگیری از مدل تحلیل پوششی داده های شبکه ای خلیلی و شهمیر(2015) مدلی برای ارزیابی کارایی سیستم تولید دو مرحله ای با خروجی مطلوب و نامطلوب، ارایـه گردیده است .بدین منظور، با استفاده از داده های دقیق و قطعی سال1399 مربوط به بیست کارخانه تولید کره، با تحلیل پوششی داده های شبکه‌ای، کارایی مراحل دوگانه به صورت جداگانه و به صورت یکپارچه ارزیابی گردید. در پایان مرحله اول، دو نوع خروجی مطلوب وجود دارد یک خروجی مطلوب خامه صبحانه وجود دارد که وارد مرحله دوم تولید نمی شود و برای فروش به بازار عرضه می گردد و یک خروجی مطلوب دیگر، خامه پاستوریزه می باشد که به مرحله دوم تولید منتقل می شود. در پایان مرحله دوم، یک خروجی مطلوب یعنی کره بسته بندی شده و یک خروجی نامطلوب که دوغ کره می باشد، به دست می آید.کارایی تمامی بیست واحد مورد ارزیابی و مقایسه قرار گرفتند. بنا به کارایی فرآیند کل، تنها یک واحد کارا وجود دارد . بنا به کارایی مرحله اول، نیز تنها یک واحد کارا از بین بیست واحد وجود دارد و بنا به مرحله دوم، دو واحد کارا وجود دارند. نتیجه ای که گرفته شده است این می باشد که این صنعت در استانهای تهران و البرز، دارای ناکارآمدی زیادی در مراحل تولید می‌باشد و لزوم توجه مدیران این صنعت برای افزایش کارایی، الزامی است. Manuscript profile

Open Access Article

10 - 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 Komijan

10.30495/eco.2020.1899015.2357

The 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 More

The 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

11 - Evaluation of productivity, efficiency and ranking of thermal power plants: an approach based on stochastic data envelopment analysis
Mehdi Khodadadipour

10.30495/jmemiau.2024.708212

In 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 More

In 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

12 - Provide a model for calculating the efficiency of companies with the help of network data envelopment analysis with undesirable factors
ahmad royaei farhad hosseinzadehlotfi

Each steel company buys the raw materials it needs from the manufacturers in question, thus forming supply chains with network properties. Therefore, there is a need to conduct performance research to improve the performance of these chains. In studies, the study of spe More

Each steel company buys the raw materials it needs from the manufacturers in question, thus forming supply chains with network properties. Therefore, there is a need to conduct performance research to improve the performance of these chains. In studies, the study of specific structures in the supply chain has received less attention. In this research, we have tried to examine the network and how to evaluate its performance in the presence of uncontrollable, undesirable factors. For this purpose, network DEA models are proposed that evaluate the performance of the chain in the presence of uncontrollable inputs and outputs, undesirable output even in its internal structure. Then, 11 present steel companies, the corresponding chain of each of which has two stages, were evaluated by the presented models in 1398. The designed model was based on the network Data Envelopment Analysis of tailored the companies under study and their efficiency was calculated. Based on the results, one company under the first stage and one company under the second stage were recognized as efficient, and all companies had a total efficiency of less than one. Manuscript profile

Open Access Article

13 - 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 shoja

The 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 More

The 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

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