Developing a new chance constrained NDEA model to measure performance of sustainable supply chains

Mohammad Izadikhah, Elnaz Azadi, Majid Azadi, Reza Farzipoor Saen*, Mehdi Toloo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Owing to the increasing importance of sustainable supply chain management (SSCM), it has received much attention from both corporate and academic over the past decade. SSCM performance evaluation plays a crucial role in organizations success. One of the practical techniques that can be used for SSCM performance assessment is network data envelopment analysis (NDEA). This paper develops a new NDEA for performance evaluation of SSCM in the presence of stochastic data. The proposed model can evaluate the efficiency of SSCM under uncertain conditions. A case study in the soft drinks industry is presented to demonstrate the efficacy of the proposed method.

Original languageEnglish
Pages (from-to)1319-1347
Number of pages29
JournalAnnals of Operations Research
Volume316
Issue number2
DOIs
Publication statusPublished - Sep 2022

Keywords

  • Data envelopment analysis (DEA)
  • Network DEA (NDEA)
  • Performance measurement
  • Stochastic network DEA
  • Sustainable supply chain management (SSCM)

ASJC Scopus subject areas

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

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