Finding Economic Order Quantity for the Inventory Routing Problem based on Genetic Algorithm

摘要：

The inventory routing problem (IRP) is a challenging optimization problem to provide timely and effective logistics and distribution services as well as to reduce the cost of the sales process. In this paper, we focus on both intelligent inventory management plans and effective routing policies. The objective is thus to use the genetic algorithm to solve the route arrangement and distribution of products to customers. We propose the economic order quantity (EOQ) to keep inventory cost low and to secure the supply of products. This approach is tested for a computer spare parts logistics management information system project, and the lower logistic costs demonstrate the effectiveness of this proposed method.

关键词： Inventory Routing Problem (IRP) Genetic Algorithm (GA) Logistics Management System Economic Order Quantity (EOQ)

作者: Xingang Fan Buyang Cao

作者单位: School of Software Engineering Tongji University Shanghai, China

会议类型: 国际会议

会议名称: 2010 International Conference on Measurement and Control Engineering(2010年IEEE测量与控制工程国际会议 ICMCE2010)

会议地点: 成都

会议语种:英文

页码: 344-347

在线出版日期: 2010-11-16（万方平台首次上网日期，不代表论文的发表时间）