Providing a model to reduce the cost of supply chain risk with a hybrid approach

Today, supply chain management has become more important because of the globalization of business markets. As the complexity increases, the vulnerability and risk in the chain increases, resulting in an increase in production or service interruption. This process necessitates the use of new risk management techniques. In this regard, in this study, by providing and solving a fuzzy DEMATEL-Genetic Algorithm hybrid model, the cost of supply chain risk has been investigated. Then the relationships between the disorders are formulated through the fuzzy dematel technique, and the model is solved using genetic algorithm. This study examines the impact of four disruptions on supply chain costs and disruptions are ranked based on the costs incurred in the supply chain. The results show that the most important disruptions in the supply chain, respectively, are disasters, supply, transportation and demand.