【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。更多还原

【Abstract】 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.更多还原