Select the Best Solution to Reduce Transportation Disruption Impact using fuzzy analytic network process and Interval TOPSIS

Supply chains are becoming increasingly competitive and complex in order to effectively meet customer demands. These characteristics make supply chains vulnerable to various risks, including disruptions. The purpose of this paper is applying a new integrated method for selecting the best solution to reduce the risk of transportation disruption. In this paper key performance indicator (KPI) are criteria and solutions are alternatives.The proposed approach is based on fuzzy ANP and Interval TOPSIS methods. FUZZY-ANP is used to determine the fuzzy weights of criteria because it can effectively determine various criteria’s weights in a hierarchical structure and then rankings of solutions with respect to the criteria are determined by Interval TOPSIS method. A numerical example demonstrates the application of the proposed method.

Keywords:

Reduce Transportation Disruption , Fuzzy Sets , Analytic Network Process , Interval TOPSIS