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Designing an efficient supply chain network with uncertain data: a robust optimization—data envelopment analysis approach

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Journal of the Operational Research Society

Abstract

Designing a supply chain network (SCN) is an important issue for organizations in competitive markets. In this paper, a novel robust SCN that considers the efficiencies and costs simultaneously is proposed. In order to estimate the efficiency of the producers and distributors, data envelopment analysis (DEA) model is incorporated into SCN. Moreover, to handle the uncertainty in data, a scenario-based robust optimization approach is applied. The proposed model finds out the efficient location of producers and distributors and determines the amount of purchases from each supplier in uncertain conditions. To illustrate the application of the proposed model, a numerical example is solved and results are analyzed.

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Authors and Affiliations

  1. Faculty of Industrial Engineering, Urmia University of Technology, Band Road, West Azerbaiejan, PO Box 5716693187, Urmia, Iran

    Hashem Omrani & Farzane Adabi

  2. Tabriz Islamic Art University, Tabriz, Iran

    Narges Adabi

Authors
  1. Hashem Omrani
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  2. Farzane Adabi
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  3. Narges Adabi
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Correspondence to Hashem Omrani.

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Omrani, H., Adabi, F. & Adabi, N. Designing an efficient supply chain network with uncertain data: a robust optimization—data envelopment analysis approach. J Oper Res Soc 68, 816–828 (2017). https://doi.org/10.1057/jors.2016.42

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