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

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Listed:
  • Mohammad Izadikhah

    (Islamic Azad University)

  • Reza Farzipoor Saen

    (Sohar University)

Abstract

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.

Suggested Citation

  • Mohammad Izadikhah & Reza Farzipoor Saen, 2023. "Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry," Annals of Operations Research, Springer, vol. 322(1), pages 195-215, March.
    • Handle: RePEc:spr:annopr:v:322:y:2023:i:1:d:10.1007_s10479-021-04160-7
    DOI: 10.1007/s10479-021-04160-7
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