Volume 13 (2021)
Volume 12 (2020)
Volume 11 (2019)
Volume 10 (2018)
Volume 9 (2017)
Volume 8 (2016)
Volume 7 (2015)
Volume 6 (2014)
Volume 5 (2013)
Volume 4 (2012)
Volume 3 (2011)
Volume 2 (2010)
Volume 1 (2009)
Data Envelopment Analysis
26. An Integrated DEA and Data Mining Approach for Performance Assessment

Alireza Alinezhad

Volume 8, Issue 2 , Autumn 2016, , Pages 59-69

Abstract
  This paper presents a data envelopment analysis (DEA) model combined with Bootstrapping to assess performance of one of the Data mining Algorithms. We applied a two-step process for performance productivity analysis of insurance branches within a case study. First, using a DEA model, the study analyzes ...  Read More

Data Envelopment Analysis
27. Ranking of bank branches with undesirable and fuzzy data: A DEA-based approach

Sohrab Kordrostami; Alireza Amirteimoori; Monireh Jahani Sayyad Noveiri

Volume 8, Issue 2 , Autumn 2016, , Pages 71-77

Abstract
  Banks are one of the most important financial sectors in order to the economic development of each country. Certainly, efficiency scores and ranks of banks are significant and effective aspects towards future planning. Sometimes the performance of banks must be measured in the presence of undesirable ...  Read More

Data Envelopment Analysis
28. Ranking efficient DMUs using the infinity norm and virtual inefficient DMU in DEA

Shokrollah Ziari; Manaf Sharifzadeh

Volume 8, Issue 2 , Autumn 2016, , Pages 79-86

Abstract
  In many applications, ranking of decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA), especially when there are extremely efficient DMUs. In such cases, many DEA models may usually get the same efficiency score for different DMUs. ...  Read More

Operation Research
29. A combined evaluation method to rank alternatives based on VIKOR and DEA with BELIEF structure under uncertainty

Amir Amini; Alireza Alinezhad

Volume 8, Issue 2 , Autumn 2016, , Pages 111-122

Abstract
  This paper processes a combined method, based on VIKOR and Data Envelopment Analysis (DEA) to select the units with most efficiency. We utilize the VIKOR as compromise solution method. This research is a two-stage model designed to fully rank the alternatives, where each alternative has multiple inputs ...  Read More

Data Envelopment Analysis
30. Ranking efficient DMUs using the variation coefficient of weights in DEA

Mojtaba Ziari; Shokrollah Ziari

Volume 8, Issue 1 , Spring 2016, , Pages 9-16

Abstract
  One of the difficulties of Data Envelopment Analysis(DEA) is the problem of de_ciency discrimination among efficient Decision Making Units(DMUs) and hence, yielding large number of DMUs as efficient ones. The main purpose of this paper is to overcome this inability. One of the methods for ranking efficient ...  Read More

Data Envelopment Analysis
31. Supplier selection among alternative scenarios by Data envelopment analysis

Mohsen Vaez-Ghasemi

Volume 7, Issue 2 , Autumn 2015, , Pages 815-821

Abstract
  A considerable problem in competitive trade world is choosing the best supply chain. As a result in much more serious circumstances of competitions looking for the best supplier for manufacturing, for preparing raw material, is very significant. Meantime suppliers have different scenarios to be fulfilled, ...  Read More

Data Envelopment Analysis
32. Alternative ranking method in Dynamic Data Envelopment Analysis (DDEA)

Mahnaz Maghbouli; Omid Yaghbubi agreh; Zahra Mohammadnezhad

Volume 7, Issue 2 , Autumn 2015, , Pages 839-848

Abstract
  The motivation of this paper is to propose such equitable method for ranking all decision making units (DMUs) in dynamic Data Envelopment Analysis (DDEA) framework. As far as we are aware there is not more studies in dynamic DEA literature. What's more, in such cases the best operating unit is important ...  Read More

Data Envelopment Analysis
33. Sensitivity Analysis in Two-Stage DEA

Athena Forghani; Esmaeil Najafi

Volume 7, Issue 2 , Autumn 2015, , Pages 857-864

Abstract
  Data envelopment analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs) which uses a set of inputs to produce a set of outputs. In some cases, DMUs have a two-stage structure, in which the first stage utilizes inputs to produce outputs used as the inputs of the second ...  Read More

Data Envelopment Analysis
34. A statistical test for outlier identification in data envelopment analysis

Morteza Khodabin; Reza Kazemi Matin

Volume 6, Issue 1 , Winter 2014, , Pages 678-690

Abstract
  In the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. In these ‘‘deterministic’’ frontier models, statistical theory is now mostly available. This paper deals with ...  Read More

Data Envelopment Analysis
35. Obtaining a Unique Solution for the Cross Efficiency by Using the Lexicographic method

G. R. Jahanshahloo; R. Fallahnejad

Volume 6, Issue 1 , Winter 2014, , Pages 691-701

Abstract
  Cross efficiency is a method with the idea of peer evaluation instead of self-evaluation, and is used for evaluation and ranking Decision Making Units (DMUs) in Data Envelopment Analysis (DEA). Unlike most existing DEA ranking models which can only rank a subset of DMUs, for example non-efficient or ...  Read More

Data Envelopment Analysis
36. Performance Evaluation of Banks Using DEA (Case study: Guilan Saderat Bank Branches)

K. Shahroudi; Sh. Assimi

Volume 4, Issue 2 , Summer 2012, , Pages 324-335

Abstract
  Performance evaluation has been developed in the form of management schools along by managerial thought development. Banks and financial institutes are one of the most important economic sections to each country which by receipts and payments directing and organizing facilitate business ...  Read More

Data Envelopment Analysis
37. Inverse DEA Model with Fuzzy Data for Output Estimation

A. Mahmoodi Rad; R. Dehghan; F. Hosseinzadeh Lotfi

Volume 4, Issue 2 , Summer 2012, , Pages 336-353

Abstract
  In this paper, we show that inverse Data Envelopment Analysis (DEA) models can be used to estimate output with fuzzy data for a Decision Making Unit (DMU) when some or all inputs are increased and deficiency level of the unit remains unchanged.  Read More

Data Envelopment Analysis
38. Improving supply chain collaborations and performance of inefficient supply chain

M. Sanei; S. Mamizadeh-Chatghayeh

Volume 4, Issue 2 , Summer 2012, , Pages 354-360

Abstract
  Modern manufacturing enterprises are required to collaborate by their business partners through their business process operations such as design, manufacture, distribution, and aftersales services. And furthermore performance evaluation is of great importance for effective supply chain ...  Read More

Data Envelopment Analysis
39. The interval Malmquist productivity index in DEA

F. Rezai Balf; F. Hosseinzadeh Lotfi; M. Alizadeh Afrouzi

Volume 4, Issue 1 , Winter 2012, , Pages 272-281

Abstract
  One of the most popular approaches to measuring productivity changes is based on using Malmquist productivity indexes. In this paper we propose a method for obtaining interval Malmquist productivity index (IMPI). The classical DEA models have been before used for measuring the Malmquist ...  Read More

Data Envelopment Analysis
40. Portfolio Selection using Data Envelopment Analysis with common weights

A. Alinezhad; M. Zohrebandian; F. Dehdar

Volume 4, Issue 1 , Winter 2012, , Pages 282-291

Abstract
  The stock evaluation process plays an important role in portfolio selection because it is the prerequisite for investment and directly influences on the stock allocation. This paper presents a methodology based on Data Envelopment Analysis for portfolio selection, decision making units ...  Read More

Data Envelopment Analysis
41. Some Results on facets for linear inequality in 0-1 variables

D. Sashi Bhusan; B. Bagaban; J.P. Tripathy

Volume 4, Issue 1 , Winter 2012, , Pages 292-303

Abstract
  The facet of Knapsack ploytope, i.e. convex hull of 0-1 points satisfying a given linear inequality has been presented in this current paper. Such type of facets plays an important role in set covering set partitioning, matroidal-intersection vertex- packing, generalized assignment and ...  Read More

Data Envelopment Analysis
42. The cost and income efficiency models with MOLP structure

G.R. Jahanshahloo; M.R Mozaffari; Z. Sobhan

Volume 4, Issue 1 , Winter 2012, , Pages 304-311

Abstract
  In this paper, the cost and income efficiency models have been considered with regard to the multiple objective programming structures. For finding the efficient points in purposed MOLP problem, some various methods like Lexicography & the weighted sum can be used. So by introducing ...  Read More

Data Envelopment Analysis
43. Chebyshev Acceleration Technique for Solving Fuzzy Linear System

S.H. Nasseri; H. Attari

Volume 3, Issue 2 , Summer 2011, , Pages 247-256

Abstract
  In this paper, Chebyshev acceleration technique is used to solve the fuzzy linear system (FLS). This method is discussed in details and followed by summary of some other acceleration techniques. Moreover, we show that in some situations that the methods such as Jacobi, Gauss-Sidel, SOR and conjugate ...  Read More

Data Envelopment Analysis
44. Common weights determination in data envelopment analysis

Alireza Amirteimoori; Sohrab Kordrostami

Volume 3, Issue 1 , Winter 2011, , Pages 159-171

Abstract
  In models of data envelopment analysis (DEA), an optimal set of weights is generally assumed to represent the assessed decision making unit (DMU) in the best light in comparison to all the other DMUs, and so there is an optimal set of weights corresponding to each DMU. The present paper, proposes a three ...  Read More

Data Envelopment Analysis
45. Using lexicographic parametric programming for identifying efficient hyperpalnes in DEA

Farhad Hosseinzadeh Lotfi; F. Rezaie Balf; A. Taghavi

Volume 3, Issue 1 , Winter 2011, , Pages 172-188

Abstract
  This paper investigates a procedure for identifying all efficient hyperplanes of production possibility set (PPS). This procedure is based on a method which recommended by Pekka J. Korhonen[8]. He offered using of lexicographic parametric programming method for recognizing all efficient units in data ...  Read More

Data Envelopment Analysis
46. Important Issues in Multiple Response Optimization

Mohammad Taleghani

Volume 3, Issue 1 , Winter 2011, , Pages 189-200

Abstract
  There have been many productive methods developed so far for optimization of multiple response surface (MRS) problems. This paper tends to review the most seminal approaches in MRS and discuss the strength and weakness of each of the approaches through existing aspects in MRS. A numerical example is ...  Read More