Article ID: | iaor20172624 |
Volume: | 68 |
Issue: | 7 |
Start Page Number: | 816 |
End Page Number: | 828 |
Publication Date: | Jul 2017 |
Journal: | J Oper Res Soc |
Authors: | Omrani Hashem, Adabi Farzane, Adabi Narges |
Keywords: | combinatorial optimization, design, networks, statistics: data envelopment analysis, decision, simulation |
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.