The Product Safety Stock Prediction Method Based on Artificial Neural Network

摘要：

When selling products, in order to prevent products stockout due to the uncertainty events, enterprises usually reserves a certain amount of safety stock. The amount of safety stock is directly related to inventory costs. How to calculate the amount of safety stock, the traditional method of using formulas to calculate directly has many limitations. This paper used artificial neural network to predict the amount of safety stock. The experimental result shows high accuracy.

关键词： safety stock artificial neural network prediction stockout

作者: ZHAO Ping LIU Jingjing

作者单位: Wuhan College of Economics Wuhan, Hubei, China Business School, Wuhan Institute of Technology Wuhan, Hubei, China

会议类型: 国际会议

会议名称: 2010 International Conference of Informationa Science and Management Engineering(2010年信息科学与管理工程国际学术会议 ISME 2010)

会议地点: 西安

会议语种:英文

页码: 299-302

在线出版日期: 2010-08-07（万方平台首次上网日期，不代表论文的发表时间）