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

Mohammad Izadikhah () and Reza Farzipoor Saen ()
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Mohammad Izadikhah: Islamic Azad University
Reza Farzipoor Saen: Sohar University

Annals of Operations Research, 2023, vol. 322, issue 1, No 9, 195-215

Abstract: Abstract 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.

Keywords: Sustainable supply chain management (SSCM); Data envelopment analysis (DEA); Two-stage DEA model; Stochastic DEA model (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10479-021-04160-7

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