Research on the Risk Evaluation Model and Application of Coal Logistics Supply Chain Network

摘要

This paper identifies the risk factors of coal logistics supply chain network, and it has established 15 qualitative and quantitative risk evaluation index systems of coal logistics supply chain network. At the same time, it uses genetic algorithm to optimize the weight and threshold of BP neural network, and it establishes the model and algorithm of risk evaluation based on genetic neural network. Finally, it takes an enterprise in Shanxi as an example, it uses the model of risk evaluation of genetic neural network established by MATLAB software to train the sample data of examples, and through the comparison and analysis of results, it verifies the feasibility of risk assessment of coal logistics supply chain network model based on Genetic Neural Network.