A Fuzzy Based Decision Support System For Supply Chain Disruption Management

Among the supply chain risk types, disruptions that result from natural disasters, sanctions, transportation problems and equipment failure can seriously disrupt or delay the flow of material, information and cash. The aim of this research was to propose a hybrid model for disruption management, which is the process of achieving plans or strategies to reduce the expenses incurred by the disruption. For this purpose; first, we identified disruptions and mitigation strategies by using the nominal group technique. Then, the interaction between disruptions was formulated by the fuzzy DEMATEL technique. Consequently, with regard to the uncertainty of data, fuzzy logic was used for modeling the uncertainty of disruptions. Finally, mitigating strategies were selected and ranked with PROMETHEEΙΙ. Considering the existence of 4 types of responses of chain against risks, which include: 1- risk control and endurance 2-risk flexibility 3- risk avoidance 4- risk transfer and assignment; results show that according to the type of disorder, the risk management strategy changes and in general (taking into account the causal relationship between disorders), the risk transfer strategy it was more suitable