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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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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.

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Acknowledgements

The authors would like to appreciate the constructive comments of two anonymous Reviewers.

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  1. Department of Mathematics, College of Science, Arak Branch, Islamic Azad University, P.O. Box 38135/567, Arak, Iran

    Mohammad Izadikhah

  2. Faculty of Business, Sohar University, Sohar, Oman

    Reza Farzipoor Saen

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  1. Mohammad Izadikhah
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Izadikhah, M., Farzipoor Saen, R. Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry. Ann Oper Res 322, 195–215 (2023). https://doi.org/10.1007/s10479-021-04160-7

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