Risk assessment of supply chain system based on information entropy

In this paper an information entropy assessment measure of supply chain system risk and a decision-making method based on combined fuzzy weight and entropy weight in which the input of score matrix are triangular fuzzy numbers are proposed. The individual's intuitive attitude toward risk is just reflected by the fuzzy weight measure of risk. An index system under supply chain risks is established. Using this assessment method, supply chain system risk assessment problems, which cannot only be dealt with subject weight or object weight reasonably, can be solved. The method not only provides an estimate of risk impact on the supply chain system, but also makes it easier for the risk analysts to investigate the accident scenarios and find system vulnerabilities.