Improved Particle Swarm Optimization Algorithm For Reverse Logistics Network Design

摘要：

With the shortage of resource and deterioration of environment, more and more enterprises and government have been identifying the importance of reverse logistics. Moreover an enterprise can save a great number of transportation, inventory and warehousing costs associated with product return by optimal handing the product returns. This paper proposes a nonlinear mixed-integer reverse logistics model which focus on the problem of determining the number and location of centralized return centers and where returned products from retailers or end-customers were collected, sorted, and consolidated into a large shipment destined for manufactures or distributors repair facilities. To solve the model an improved particle swarm optimization be introduced. The result indicates that the improvement PSO algorithm is an effective method of solving the problem.

关键词： reverse logistics particle swarm optimization inertia weight

作者: Cai Ren Jianzhong Ye

作者单位: Department of Computer Science and Technology East China Normal University Shanghai, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information and Industrial Electronics(2011年信息与工业电子国际会议 ICIIE 2011)

会议地点: 成都

会议语种:英文

页码: 243-248

在线出版日期: 2011-01-14（万方平台首次上网日期，不代表论文的发表时间）