Organizational Supply Chain Risk Assessment Using Machine Learning and Backpropagation Neural Network

The application of machine learning and neural network research has led to the enhancement of the role played by backpropagation neural networks in facilitating the management of supply chain risks within organizations. Organizational supply chain risk is typically harder to predict and requires more resources to identify, assess, and mitigate the various risk factors. These risk factors continuously affect supply chain operations. Through this work, we analyze the supply chain risk factors and control the risk. In particular, a backpropagation neural network (BPNN) along with a machine learning model is developed and tested. The results show that the proposed model effectively assesses the risk.