摘要
针对售后服务逆向物流网络设计中的售后服务中心、综合维修中心、生产厂家的个数和地址设置,基于优化运输成本和维修费用,提出了一个混合整数规划模型,然后通过遗传算法建立了该模型的一种求解算法,最后给出算例表明了模型和算法的有效性.
In order to determine the number and location of the post-sale service center, integrated service center and manufacturer in the reverse logistic networks for post-sale service, we propose a mixed-integer programming model with minimized transportation and maintenance costs, and present a genetic algorithm as the solution to this model. The given numerical experiment proves the validity of the model and the algorithm.
出处
《洛阳理工学院学报（自然科学版）》
2010年第4期69-73,共5页
Journal of Luoyang Institute of Science and Technology：Natural Science Edition
基金
国家自然科学基金资助项目(10771120)
关键词
售后服务
逆向物流
设施选址
混合整数规划
遗传算法
post-sale service
reverse logistics
facility location
mixed-integer programming
genetic algorithm
