Model and Algorithm for Closed-loop Logistics System Considering Time-satisfaction Degree and Returns under E-commerce Environment

摘要：

　　Facility location, inventory control and vehicle routes scheduling are critical and highly related problems in the design of logistics system for e-business.Meanwhile, the return ratio in Internet sales was significantly higher than in the traditional business.At the same time, the customers time-satisfaction degree had become one of the important factors for competition.A multi-objective integrated optimization model of location-inventory-routing problem (LIRP) taking the cost of the returned merchandises and time-satisfaction degree into account is proposed for closed-loop logistics system.An improved adaptive genetic algorithm (IAGA) is designed to solve the model.Finally, the real instance is presented to show the effectiveness of the model and algorithm.

关键词： closed-loops location-inventory-routing problem time-satisfaction degree improved adaptive genetic algorithm

作者: Hao Guo Yanhui Li Bailing Liu

作者单位: School of Information Management, Central China Normal University, Wuhan 430079, China

会议类型: 国际会议

会议名称: The Thirteenth Wuhan International Conference on E-Business(第十三届武汉电子商务国际会议)(WHICEB2014)

会议地点: 武汉

会议语种:英文

页码: 616-624

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）