Evaluation on Risks of Manufacturing Enterprise Supply Chain based on BP Neural Networks

Abstract

 In order to improve the evaluation and management of manufacturing enterprise supply chain risk and enhance the resilience of supply chain, this study evaluates enterprise supply chain risk from the perspective of sustainable development. Firstly, the risk factors that may exist in the supply chain are identified, and the supply chain risk evaluation index system is proposed. Then the risk evaluation model based on BP neural network is established, and the neural network model is trained, tested and evaluated by using the survey data. The survey and test results show that the overall risk of the enterprising is at a low level, and the risks of each link are different, among which, the financial risk, logistics risk and cooperation risk are at a high level, and the other risk factors are at a low level. The risk factors contributing the most to the enterprise supply chain risk were extracted. This paper theoretically enriches the supply chain risk evaluation methods, and puts forward feasible suggestions for enterprises to prevent supply chain risks and optimize and stabilize supply chain.