基于遗传算法的三级逆向物流网络设计模型研究  

A Genetic Algorithm Approach to the Three-Level Reverse Logistics Network Design Model

作　　者：戢守峰[1] 李峰[1] 董云龙[1] 黄小原[1] 

机构地区：[1]东北大学工商管理学院,辽宁沈阳110004

出　　处：《中国管理科学》2007年第6期86-91,共6页Chinese Journal of Management Science

基　　金：国家自然科学基金项目(70572088)

摘　　要：建立初始回收点以方便客户、提高回收速度以及建立集中回收中心以负责产品的收回、分拣并统一运送到相应的生产商或分销商修理地点是一种节约、有效的多层次产品回收模式。本文在即存研究基础之上,加入了考虑初始点回收成本、回收产品中再销售品的收益和可再利用品的收益等变量,提出了能够优化连接客户、集中回收中心和生产商三级逆向物流网络数学模型,最后灵敏度分析表明遗传算法对于求解这类问题是一种有效的方法。To a establish the initial collection point to facilitate the customers,increase the velocity of product returns and establish the centralized return center where returned products from retailers or end-customers were collected,sorted,and consolidated into a large shipment destined for manufacturers' or distributors' repair facilities,it is a saving and effective mode of multi-level producet returns.Based on the existing research,this paper considers more variables: initial collection cost,revenue of sell two-hand products selling,revenue of reclaimed products selling,then proposes a three-level reverse logistics network design Optimization model that can connect the customs,centralized return center and manufacturers.Ultimately,sensitivity analysis indicates that genetic algorithm is a valid approach to resolve this kind of problems.

关 键 词：逆向物流网络设计 遗传算法 初始回收点 选址定位 

分 类 号：F253.2[经济管理—国民经济]