Risk Management in Supply Chain using Consistent Fuzzy Preference Relations

Nowadays, supply chains are exposed to numerous risks. Thus, to success in risky business environment, it is imperative for firms to systematically manage supply chain risks. Risk management is the identification, assessment, and prioritization of supply chain risks. The purpose of this paper is to propose a comprehensive approach to risk management in supply chains. Thus, by an appropriate review of the literature, supply chain risk sources are identified in six areas. Then, a CFPR method is used to determine the relative importance of each identified risk. The results indicate that financial risks demand risks and supply risks are the most important risks in the SMEs context.