Automotive Industry Supply Chain Risk Management with a Grey DEMATEL-ANP Based Methodology

Automotive industry has recognized as one the most important factors in boom of world’s business and industry. Regarding that the automotive supply chain is one of the most dynamic and complex supply chains, some factors such as political issues, fluctuations in demand, technological changes, financial instabilities and natural disasters increase uncertainty and risk in the supply chain. Identification and understanding of these uncertainties and risks can help supply chain managers to make correct and effective decisions. Supply chain risk management has the task of identifying, analyze, providing suitable solutions to respond, control and monitoring of risks in uncertain economy and production cycles. Supply chain managers are conscious that the success of any supply chain lies in its proficiency to manage risks efficiently and effectively. This paper identifies main risks related to Iran’s automotive supply chain through a case study and implements decision making trial and evaluation laboratory (DEMATEL) method to determine the interdependencies between risks and applies analytic network process (ANP) method to evaluate the importance of each risk. Then applies an approach based on grey system theory to determine the best response strategy. The results show that the proposed method can be effective in helping supply chain managers to manage the risks.

کلیدواژه ها:

Supply chain risk management (SCRM) ، DEMATEL ، Analytic network process (ANP) ، Grey theory ، Automotive industries