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

Mohammad Izadikhah (), Elnaz Azadi (), Majid Azadi (), Reza Farzipoor Saen () and Mehdi Toloo ()
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Mohammad Izadikhah: Islamic Azad University
Elnaz Azadi: Islamic Azad University
Majid Azadi: University of Technology Sydney
Reza Farzipoor Saen: Sohar University
Mehdi Toloo: Technical University of Ostrava

Annals of Operations Research, 2022, vol. 316, issue 2, No 27, 1319-1347

Abstract: 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.

Keywords: Performance measurement; Sustainable supply chain management (SSCM); Data envelopment analysis (DEA); Network DEA (NDEA); Stochastic network DEA (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10479-020-03765-8

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