Data Envelopment Analysis, DEA
1. A new model to measuring efficiency and returns to scale on data envelopment analysis

Abbasali Monzeli; Behrouz Daneshian; Gasem Tohidi; Shabnam Razavian; Masud Sanei

Volume 10, Issue 2 , Spring 2021, , Pages 128-137

http://dx.doi.org/10.22105/riej.2021.272673.1186

Abstract
  We extend the concept of returns to scale in Data Envelopment Analysis (DEA) to the weight restriction environments. By adding weight restrictions, the status of returns to scale, i.e. increasing, constant, and decreasing, may need a change. We first define "returns to scale" underweight restrictions ...  Read More

Engineering Optimization
2. Data envelopment analysis for estimate efficiency and ranking operating rooms: a case study

Sh. Ghasemi; A. Aghsami; M. Rabbani

Volume 10, Issue 1 , Winter 2021, , Pages 67-86

http://dx.doi.org/10.22105/riej.2021.247705.1143

Abstract
  Data Envelopment Analysis (DEA) is one of the non-parametric methods for evaluating each unit's efficiency. Limited resources in the healthcare system are the main reason for measuring the efficiency of hospitals. Because Operating Rooms (OR) are the most vital part of any hospital, we determine the ...  Read More

Data Envelopment Analysis, DEA
3. The survey of data envelopment analysis models in fuzzy stochastic environments

F. Z. Montazeri

Volume 8, Issue 4 , Autumn 2019, , Pages 366-383

http://dx.doi.org/10.22105/riej.2020.219518.1121

Abstract
  One of the best techniques for evaluating the performance of organizations is data envelopment analysis. Data Envelopment Analysis (DEA) is a non-parametric method for evaluating the performance of decision-making units (DMUs) that recognizes the relative performance of DMUs based on mathematical programming. ...  Read More

Fuzzy optimization
4. Ranking efficient DMUs using the Tchebycheff norm with fuzzy data in DEA

S. H. Mirzaei; A. Salehi

Volume 8, Issue 2 , Spring 2019, , Pages 158-175

http://dx.doi.org/10.22105/riej.2019.169577.1072

Abstract
  In many real applications, the data of production processes cannot be precisely measured. Hence the input and output of Decision Making Units (DMUs) in Data Envelopment Analysis (DEA) may be imprecise or fuzzy-numbered. In original DEA models, inputs and outputs are measured by exact values on a ratio ...  Read More

Data Envelopment Analysis, DEA
5. Investment projects ranking with DEA method considering feasibility study results

M. V. Sebt; M. N. Juybari; V. R. Soleymanfar

Volume 7, Issue 3 , Autumn 2018, , Pages 320-335

http://dx.doi.org/10.22105/riej.2018.147016.1058

Abstract
  According to the increasing need of industry to financiers and investors in order to incorporate and encouraging them to invest in various fields of industry, the necessity of a method to help investors for making a decision has emphasized. We present a method which tries to omit to apply personally ...  Read More

Supply chain management
6. A Two-Phase Approach for Supply Chain Network Design: A Real-World Case Study from Automotive Industry

S. Tunali; G. Oztuzcu

Volume 7, Issue 1 , Spring 2018, , Pages 1-18

http://dx.doi.org/10.22105/riej.2018.103354.1029

Abstract
  Effective design and management of Supply Chain Networks (SCN) support the production and delivery of products at low cost, high quality, high variety, and short lead times. In this study, a SCN is designed for an automotive company by integrating various approaches. The study has been carried out in ...  Read More

Data Envelopment Analysis, DEA
7. Determine the Efficiency of Time Depended Units by Using Data Envelopment Analysis

Z. Taeb; F. Hosseinzadeh Lotfi; S. Abbasbandy

Volume 6, Issue 3 , Autumn 2017, , Pages 193-201

http://dx.doi.org/10.22105/riej.2017.49156

Abstract
  In the last years, several techniques have been reported for managing a system and recognition of the related decision making units. One of them is based on mathematical modeling. Efficiency of any system is very important for all decision makings. Often applied data have time dependent inputs/ outputs. ...  Read More

Fuzzy optimization
8. Organizational Performance Evaluation Considering Human Capital Management Approach by Fuzzy-DEA: A Case Study

M. M. Tavakoli; B. Molavi; H. Shirouyehzad

Volume 6, Issue 1 , Winter 2017, , Pages 1-16

http://dx.doi.org/10.22105/riej.2017.48022

Abstract
  In recent years, researchers in their studies considered human capital as one of the most important capitals of every organization and even some of them placed it beyond this definition and introduced it as the unique factor of creating the competitive advantage in the organization. Due to the importance ...  Read More

Data Envelopment Analysis, DEA
9. The Methods of Ranking based Super Efficiency

M. Nayebi; F Hosseinzadeh Lotfi

Volume 5, 1(4) , Autumn 2016, , Pages 43-66

http://dx.doi.org/10.22105/riej.2017.49169

Abstract
  The science of Data Envelopment Analysis (DEA) evaluates the effectiveness of decision making units. But, one of the problems of Data Envelopment Analysis (DEA) is that, if the number of units with the same efficiency equal to one was more than one, then we couldn’t select the best between them. ...  Read More

Data Envelopment Analysis, DEA
10. Assess the efficiency and effectiveness simultaneously in a three-stage process, by using a unified model

F Hosseinzadeh Lotfi; M. Jahanbakhsh

Volume 4, 1(4) , Autumn 2015, , Pages 15-23

http://dx.doi.org/10.22105/riej.2017.49165

Abstract
  By distinction between efficiency and effectiveness scales, the aim of this paper is to propose a model that can show the differents of efficiency and effectiveness. For this purpose, enveloping form of ICCR model ,has considered to calculate simultaneously the influences of efficiency and effectiveness. ...  Read More

11. Deriving Priorities the Alternatives in an Analytic Hierarchy Process

S. Khoshfetrat; F. Hosseinzadeh-Lotfi

Volume 3, Issue 4 , Autumn 2014, , Pages 13-20

Abstract
  The data envelopment analysis (DEA) is a mathematical programming technique, which is used for evaluating relative efficiency of decision making units (DMUs). However, the DEA does not provide more information about the efficient DMUs. Recently, some researchers have been carried out in the background ...  Read More

12. Presenting an Analytic Hierarchy Process- Assurance Region- Joint Multiple Layer Data Envelopment Analysis Model for Evaluating the Performance of an Educational System: A Case Study

A. Pakzad; A. Naderi

Volume 3, Issue 4 , Autumn 2014, , Pages 21-40

Abstract
  One of the major problems in organizations is resource limitation, so the main goal of each union is to maximize the usage of their recourses and improve its efficiency. Universities as a main body of each countries educational system have an important role in developing a country. Therefore, assessing ...  Read More

13. Presenting a New Approach toward Locating Optimal Decoupling Point in Supply Chains

M. Rabbani; H. Yousefnejad; H. Rafiei

Volume 3, Issue 1 , Spring 2014, , Pages 49-54

Abstract
  This article attempts to cope with one of the most vital strategic decisions in the supply chain design in terms of manufacturing context. The issues of finding the best position of Customer Order Decoupling Point (CODP) in a production line have been taken into consideration by many researchers in recent ...  Read More

14. Data Envelopment Analysis Based on MPSS Efficient and Inefficient Frontiers

F. Piran; F Hosseinzadeh Lotfi; M. Rostami-Malkhalifeh

Volume 2, Issue 4 , Autumn 2013, , Pages 15-25

Abstract
  Data envelopment analysis (DEA) is a non-parametric analytical methodology widely used in efficiency measurement of decision making units (DMUs). Conventionally, after identifying the efficient frontier, each DMU is compared to this frontier and classified as efficient or inefficient. This thesis introduces ...  Read More

15. A New Method for Ranking Efficient DMUs Based on TOPSIS and Virtual DMUs

F. Hosseinzadeh Lotfi; M. Rostamy mal khalifeh; M. Heydari Alvar

Volume 1, Issue 1 , Spring 2012, , Pages 1-9

Abstract
  In this paper, a method for ranking efficient DMUs based on TOPSIS has been proposed. The difference between the distance of the center of gravity of all efficient DMUs to the ideal point and the anti-ideal point after and before deleting efficient DMUs one by one is the criteria of ranking efficient ...  Read More

16. Efficiency Evaluation and Ranking of the Research Center at the Ministry of Energy: A Data Envelopment Analysis Approach

M. Fallah; S.E. Najafi

Volume 1, Issue 1 , Spring 2012, , Pages 10-18

Abstract
  Evaluating the performance of the different departments in an organization or evaluating and comparing the performance of a single department over different time points may boost the organizational efficiency and the involved industry. Making the most efficient use of the existing resources to realize ...  Read More

17. Performance Evaluation Function for Benchmarking Process Using Context-Dependent Data Envelopment Analysis

H. Bagherzadeh Valami; S.E. Najafi; B. Farajollahzadeh

Volume 1, Issue 1 , Spring 2012, , Pages 19-28

Abstract
  Data envelopment analysis (DEA) is a methodology for identifying efficient frontier of decision making units (DMUs) with multiple outputs and inputs. Context-dependent DEA refers to a DEA approach where a set of DMUs are evaluated against a particular evaluation context. Each evaluation context represents ...  Read More