产品回收多级逆向物流网络优化设计模型

Optimization model of multi-echelon reverse logistics network design for production return

为降低逆向物流成本,改善客户产品回收便利性,优化逆向物流网络中产品回收的渠道选择决策,在原有正向物流网络基础上,提出了包含初始收集点、集中回收中心和回收处理工厂三种物流设施的多级逆向物流网络。以总逆向物流成本最小为目标,兼顾各客户群的产品回收便利性,建立了0-1混合整数规划模型,实现逆向物流网络的选址/分配问题。应用遗传算法求解该模型。模拟算例表明,该算法有效且可行,为企业进行逆向物流网络设计提供可参考的模型和求解算法。

To reduce reverse logistics cost, improve customers convenience in product return and optimize channel selection decision of product return in reverse logistics, a multi-echelon reverse logistics network including initial collection point, central return center and return handling plant, was proposed based on quondam forward logistics network. Reverse logistics network design problem was formulated as a 0-1 mixed-integer programming model and was designed to minimize the total reverse logistics cost, and to pay attention to convenience of production return. Therefore it realized the location/allocation problem of reverse logistics. Genetic algorithm was adopted to solve the optimization model. An simulation example was presented to prove the feasibility and validity of the proposed method. Consequently, the study offered referenced model and solution algorithm for reverse logistics network design in enterprises.