A evaluation model of supply chain emergency based on unascertained measure and comentropy theory

Supply chain emergency comes from supply chain risks, and usually interrupts the harmonious operation of supply chain. So it's very necessary to evaluate the dynamic degree of supply chain emergency and then take corresponding measurements to prevent the occurrence of supply chain emergency. This paper tries to set up an evaluation model of supply chain emergency based on unascertained measure and comentropy theory. The paper summaries supply chain risks from existing articles, and uses unascertained measure to find out the distribution probability matrix of single risk. Then the paper uses comentropy theory to find out the weight of risk types. Based on the findings of distribution probability matrix and weight of risks, the paper finally put forward a evaluation model to measures the degree of supply chain emergency and also gives a numeric example to demonstrate the efficiency and reliability of the model.