The research on the application of neural network technology in the supply chain demand prediction

被引：0

作者：

Peng, Zhizhong ^{[1
]}

机构：

[1] Shandong Univ, Coll Business & Management, Jinan 250100, Peoples R China

来源：

FIFTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, VOLS 1-3: INTEGRATION AND INNOVATION THROUGH MEASUREMENT AND MANAGEMENT | 2006年

关键词：

neural network; demand prediction technology; supply chain;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

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.

引用

页码：684 / 690

页数：7