A New Rough BWM Approach for Evaluating and Selecting a Sustainable Supplier in Supply Chain Management

Abstract

In recent years, many studies have been conducted about how to select a sustainable supplier so different methods have been proposed for this rigard in fuzzy and deterministic environments. In this article a new model of BWM improved using Rough Sets Theory for Sustainable Supplier Selection (SSS) in the supply chain. One of the advantages of the proposed method is modeling the uncertainty related to personal evaluations and zeroing the subjective judgment error of the decision maker, using the decision table approach. Also, using the concept of conditional entropy in rough sets, the significance of criteria is calculated and the selection of the best and the worst criterion, as well as making pairwise comparisons in the best-worst method, is done respectively. Using this approach, the inconsistency ratio of the best-worst method becomes zero in all stages. Moreover TOPSIS and SAW methods have been used to determine the weight of suppliers and the results have been compared. To illustrate the model and demonstrate its capability, a real SSS case in Iran Khodro Company (IKCO), was examined by three experts in the automotive industry. The results show that the first supplier (ISACO Parts Supply Company) is the best sustainable supplier.

Keywords

• sustainability
• supplier selection
• rough sets theory
• conditional entropy
• bwm
• uncertainty