Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry

被引：19
|
作者：
Izadikhah, Mohammad [1 ]
Saen, Reza Farzipoor [2 ]
机构：
[1] Islamic Azad Univ, Coll Sci, Dept Math, Arak Branch, POB 38135-567, Arak, Iran
[2] Sohar Univ, Fac Business, Sohar, Oman
来源：
ANNALS OF OPERATIONS RESEARCH | 2023年 / 322卷 / 01期
关键词：
Sustainable supply chain management (SSCM); Data envelopment analysis (DEA); Two-stage DEA model; Stochastic DEA model; RANGE DIRECTIONAL MEASURE; DECISION-MAKING APPROACH; TRIPLE BOTTOM-LINE; DEA MODEL; EFFICIENCY DECOMPOSITION; ORDER ALLOCATION; SELECTION; FUZZY; RANKING; NETWORK;
D O I：
10.1007/s10479-021-04160-7
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
The objective of this study is to present a new stochastic two-stage data envelopment analysis (DEA) model for assessing the sustainability of supply chains. Unlike the conventional DEA models, which consider each decision making unit as a black box, two-stage DEA models consider the intermediate products. The main contribution of the current paper is to develop a two-stage DEA model in centralized context in the presence of stochastic data. The efficacy of the developed approach is shown by a case study.
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页码：195 / 215
页数：21
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