مشخصات پژوهش

Effective management of risks is essential for reducing the vulnerability of the supply chain. Supply risk management is the most basic concept of the supply-chain risk management; therefore, this study examines this subject by developing a mathematical model consisting of a set of equations to quantify typical risk such as delayed delivery, substandard quality, natural disasters, and financial risk of the supplier. This model designed to select and allocate orders to suppliers to minimize the supply risk imposed by the mentioned risk factors. A fuzzy order function is used to turn this crisp model into a fuzzy supply chain risk assessment model. The defuzzified solutions of the fuzzy model show significant improvements over the result of crisp model. Uncertainty in supply chain and intense competitiveness between organizations and managers create different challenges. New management approaches are used to strengthen and improve the effectiveness of organizations. The results show that the fuzzy model yields better results compared to the deterministic model. Moreover, it shows that the ability of the model for activities risk control is improved. The work presented addresses the same challenging problems that others have tried to address but the methodology presented in this paper is more efficient in terms of execution performance and accuracy.