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

Author

Listed:
  • 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
    Sultan Qaboos University)

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.

Suggested Citation

  • Mohammad Izadikhah & Elnaz Azadi & Majid Azadi & Reza Farzipoor Saen & Mehdi Toloo, 2022. "Developing a new chance constrained NDEA model to measure performance of sustainable supply chains," Annals of Operations Research, Springer, vol. 316(2), pages 1319-1347, September.
    • Handle: RePEc:spr:annopr:v:316:y:2022:i:2:d:10.1007_s10479-020-03765-8
    DOI: 10.1007/s10479-020-03765-8
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    References listed on IDEAS

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