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


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
Issue number2
Early online date27 Aug 2020
Publication statusPublished - Sept 2022

Bibliographical note

Funding Information:
The authors would like to thank two anonymous Reviewers for their insightful and constructive comments and suggestions. Furthermore, the fifth author would like to appreciate Czech Science Foundation (GAČR 19-13946S) for the supports.


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


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