基于遗传算法的三级逆向物流网络设计模型研究

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。

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

To aestablish the initial collection point to facilitate the customers,increase the velocity of prod uctreturns 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 net work 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.