Supply Chain Risk Management using Expert Systems

Abstract

Supply chain risk management (SCRM) is a new concept in logistic science. SCRM becomes more important because of the increasing global risks in industries. This paper reviews important literature about supply chain risk management using expert systems. To this goal, we should introduce methods of identifying risks and their impacts on the supply chain performance, in qualitative and quantitative manners. In the qualitative methods, questionnaires are used and the quantitative methods are based on the probability theory and Fuzzy logics, expert systems, especially. The results show that expert systems can identify supply chain risks and therefore they help to leaders decision making process.