Reducing the Risk of Transportation Disruption in Supply Chain: Integration of FUZZY-AHP and TOPSIS

Ahmad Jafarnejad Chaghooshi, Moein Hajimaghsoudi


This research focuses on estimating and understanding the causes of transportation related supply chain disruptions. In-depth interviews with logistics managers were undertaken to investigate how companies perceive transportation related supply chain disruptions and what they are doing to respond and address them. This paper presents an integrated approach 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. FUZZY-AHP and TOPSIS are used in the integrated approach. FUZZY-AHP is used to determine the fuzzy weights of criteria because it can effectively determine various criteria’s weights in a hierarchical structure. TOPSIS aims to rank solutions with respect to the criteria. We apply the integrated approach in real case to demonstrate the application of the proposed method.

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