The Research on the Application of Neural Network Technology in the Supply Chain Demand Prediction

摘要

Customers' products demand and market are changeable. They need a good prediction method as well as a technology and information system to construct CPFR (Forecast& Replenishment of Collaborative Planning) supply chains. In addition, Neural Network is one of the most popular prediction methods. After the construction of supply chain demand prediction supporting system which is based on CPFR data-house technology, this paper proposes a backward propagation (BP) neural network prediction model, which can avoid the human mistakes in the process of evaluation. The result shows that the method is satisfactory.