摘要
考虑了逆向物流的不确定性,以GI/G/1为基础,建立逆向物流网研究回收物品如何在逆向物流中分配处理,并设计逆向物流的处理能力,降低逆向物流成本。本模型用遗传算法求解。
According to the uncertainty of reverse logistics, the paper improves the model Using a GUG/1 queuing model which determines the flow of returned products and capacity of the recovery facilities and uses genetic algorithm to solve the model.
出处
《物流技术》
2008年第8期123-125,147,共4页
Logistics Technology