考虑回收质量和风险值的动力电池逆向物流网络设计
Design of Reverse Logistics Network for Power Battery Considering Recovery Quality and Risk Value

随着新能源汽车销售量和保有量的急剧上升，作为新能源汽车中的重要零部件，动力电池也得到了快速发展。在动力电池大量退役背景下，考虑废旧动力电池运输、处理对周围居民的风险、回收处理数量不确定性等因素，以逆向物流成本最小与居民风险最小为目标，构建废旧动力电池逆向物流网络多目标规划模型。运用不确定规划理论引入回收质量的三角模糊数，对模型进行确定性转化。引入决策者偏好系数，采用加权理想点法将多目标模型转化为单目标模型进行求解，通过Lingo18软件计算案例，得到考虑不确定性的逆向物流网络设施的选址、数量以及设施间废旧动力电池流量分配方案，验证模型的可靠性。
With the sharp rise in the sales and ownership of new energy vehicles, as an important part of new energy vehicles, power batteries have also been rapidly developed. Under the background of a large number of decommissioning power batteries, a multi-objective planning model for the reverse logistics network of used power batteries was established with the objective of minimizing the cost of reverse logistics and the risk of residents, considering the risks of transportation and disposal of used power batteries to the surrounding residents and the uncertainties of the quantity of recycling and disposal. The triangular fuzzy number of recovery quality is introduced by the uncertain programming theory to transform the model deterministically. By introducing the decision-maker’s preference coefficient, the weighted ideal point method was used to transform the multi-objective model into a single-objective model for solving the problem. The site selection and quantity of reverse logistics network facilities and the flow distribution scheme of used power batteries between facilities were obtained by calculating cases with Lingo18 software, and the reliability of the model was verified.