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

Mohammad Izadikhah, Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


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.

Original languageEnglish
Article number1
Pages (from-to)195-215
Number of pages21
JournalAnnals of Operations Research
Issue number1
Publication statusPublished - Jun 14 2021


  • Data envelopment analysis (DEA)
  • Stochastic DEA model
  • Sustainable supply chain management (SSCM)
  • Two-stage DEA model

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Management Science and Operations Research

Cite this