考虑风险损失的退役汽车动力电池逆向回收物流网络设计  

Design of Reverse Logistics Network for Power Battery Recycling of Retired Vehicles Considering Risk Loss

作　　者：包菊芳[1] 姜盛 BAO Jufang;JIANG Sheng(Anhui University of Technology,Ma'anshan 243000,China)

机构地区：[1]安徽工业大学,安徽马鞍山243000

出　　处：《物流技术》2023年第1期74-77,94,共5页Logistics Technology

摘　　要：考虑到退役汽车主要部件动力电池在回收过程一旦发生事故对环境和经济造成巨大损失,所以在逆向物流网络中加入了运输风险损失成本并以总成本最小为目标建立了模糊规划模型,进行退役汽车动力电池逆向物流网络设计。采用改进的遗传算法对多层级逆向物流网络进行优化,确定网络设施的选址、数量以及流量分配,并通过算例验证模型的可靠性。Considering the huge environmental damage and economic loss in the event of accidents during the recycling of power battery, the main component of retired vehicles, we added transportation risk loss cost into the reverse logistics network and established the fuzzy programming model with the goal of minimizing the total cost of the network, and designed the reverse logistics network for recycling power battery from retired vehicles. Next, we used the improved genetic algorithm to optimize the multi-level reverse logistics network,determined the location, quantity and flow distribution of the network facilities, and verified the reliability of the model through a numerical example.

关 键 词：退役汽车动力电池 逆向物流网络 遗传算法 模糊规划 风险 

分 类 号：F426.471[经济管理—产业经济] F259.22F224