TY - JOUR
T1 - Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains
T2 - a case study in welding industry
AU - Izadikhah, Mohammad
AU - Farzipoor Saen, Reza
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Data envelopment analysis (DEA)
KW - Stochastic DEA model
KW - Sustainable supply chain management (SSCM)
KW - Two-stage DEA model
UR - http://www.scopus.com/inward/record.url?scp=85107837796&partnerID=8YFLogxK
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U2 - 10.1007/s10479-021-04160-7
DO - 10.1007/s10479-021-04160-7
M3 - Article
AN - SCOPUS:85107837796
SN - 0254-5330
VL - 322
SP - 195
EP - 215
JO - Annals of Operations Research
JF - Annals of Operations Research
IS - 1
ER -