TY - JOUR
T1 - Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry.
T2 - a case study in welding industry
AU - Izadikhah, Mohammad
AU - Farzipoor Saen, Reza
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2021/6/14
Y1 - 2021/6/14
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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UR - https://www.mendeley.com/catalogue/c13fc78e-60c4-3d14-be21-c55f03ae33ce/
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
M1 - 1
ER -
