Evaluating and ranking sustainable suppliers by robust dynamic data envelopment analysis

被引:48
|
作者
Yousefi, Saeed [1 ]
Shabanpour, Hadi [1 ]
Fisher, Ron [2 ]
Saen, Reza Farzipoor [3 ]
机构
[1] Islamic Azad Univ, Karaj Branch, Young Researchers & Elite Club, Karaj, Iran
[2] Cardiff Metropolitan Univ, Cardiff, S Glam, Wales
[3] Islamic Azad Univ, Karaj Branch, Fac Management & Accounting, Dept Ind Management, POB 31485-313, Karaj, Iran
关键词
Sustainable suppliers evaluation and ranking; Data envelopment analysis (DEA); Dynamic DEA; Scenario-based model of robust; Dynamic ideal decision making unit (DIDMU); Relative efficiency; DECISION-MAKING UNITS; UNCERTAIN DATA; CHAIN MANAGEMENT; CARBON EMISSIONS; OPTIMIZATION; EFFICIENCIES; FRAMEWORK; SELECTION; MODEL;
D O I
10.1016/j.measurement.2016.01.032
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
One of the advantages of data envelopment analysis (DEA) is to determine benchmarks for inefficient decision making units (DMUs). However, determination of the benchmarks is the result of past performance of DMUs. In other words, the benchmarks do not provide any recommendation for improvement of future efficiency of DMUs. On the other hand, in dynamic DEA models often no DMU gets the efficiency score of unity. In this case, although we can rank the DMUs, we cannot introduce an efficient DMU and benchmarks. To overcome these shortcomings we propose a dynamic ideal DMU using dynamic DEA and scenario-based model of robust. A case study showing the model in use provided. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:72 / 85
页数:14
相关论文
共 50 条
  • [31] Comparison of ranking methods in data envelopment analysis models
    Jablonsky, Josef
    28TH INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS 2010, PTS I AND II, 2010, : 302 - 308
  • [32] A ranking system based on inverse data envelopment analysis
    Soleimani-Chamkhorami, Khosro
    Lotfi, Farhad Hosseinzadeh
    Jahanshahloo, Gholamreza
    Rostamy-Malkhalifeh, Mohsen
    IMA JOURNAL OF MANAGEMENT MATHEMATICS, 2020, 31 (03) : 367 - 385
  • [33] Procedure for ranking efficient units in data envelopment analysis
    Andersen, Per
    Petersen, Niels Christian
    Management Science, 1993, 39 (10)
  • [34] Evaluating the energy efficiency of European Union countries: The dynamic data envelopment analysis
    Lu, Ching-Cheng
    Lu, Liang-Chun
    ENERGY & ENVIRONMENT, 2019, 30 (01) : 27 - 43
  • [35] Robust design for multiple dynamic quality characteristics using data envelopment analysis
    Tong, Lee-Ing
    Wang, Chun-Ho
    Tsai, Chih-Wei
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2008, 24 (05) : 557 - 571
  • [36] How to use fuzzy screening system and data envelopment analysis for clustering sustainable suppliers? A case study in Iran
    Izadikhah, Mohammad
    Saen, Reza Farzipoor
    Ahmadi, Kourosh
    Shamsi, Mohadeseh
    JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2021, 34 (01) : 199 - 229
  • [37] Ranking Corporations Based on Sustainable and Socially Responsible Practices. A Data Envelopment Analysis (DEA) Approach
    Belu, Constantin
    SUSTAINABLE DEVELOPMENT, 2009, 17 (04) : 257 - 268
  • [38] A robust super-efficiency data envelopment analysis model for ranking of provincial gas companies in Iran
    Sadjadi, S. J.
    Omrani, H.
    Abdollahzadeh, S.
    Alinaghian, M.
    Mohammadi, H.
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (09) : 10875 - 10881
  • [39] Data-Driven Robust Data Envelopment Analysis for Evaluating the Carbon Emissions Efficiency of Provinces in China
    Qu, Shaojian
    Xu, Yuting
    Ji, Ying
    Feng, Can
    Wei, Jinpeng
    Jiang, Shan
    SUSTAINABILITY, 2022, 14 (20)
  • [40] Data Envelopment Analysis: Ranking Units using Data Depth Measures
    Sokol, Ondrej
    Rada, Miroslav
    INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017), 2018, 1978