Identification and Weighting of Supply Chain Risks with the Help of Fuzzy Analytical Hierarchy Process Approach(Case Study: Mobarakeh Steel Complex of Isfahan)

Supply chains play an important and integral role in today's global economy. Supply chain operations are sensitive to various uncertainties such as disruptions in suppliers, transportation disruptions, or fluctuations in customer demand. Supply chain risk management can be defined as a management activity aimed at identifying and managing risks for the supply chain through a collaborative approach among supply chain members to reduce the vulnerability of the supply chain. The aim of this study is to identify and prioritize supply chain risks of Mobarakeh Steel Complex in Isfahan through the fuzzy analytic hierarchy process. To this end, the company's supply chain risks were identified using previous research studies and interviews with relevant experts, and the most important ones were selected through questionnaires, screening, and selection. Then, these risks were classified into different categories and fuzzy pairwise comparison tables were designed and distributed among experts for collection. Finally, the relative weights of the elements in these tables were extracted using the non-linear fuzzy preference programming method, and then the final weights of each of the company's risks were obtained using the fuzzy analytic hierarchy process.