基于MOP模型的新能源汽车电池回收网点选址研究

新能源汽车电池的合理回收可以有效地促进我国新能源汽车的进一步发展，而新能源汽车电池回收网点选址的合理优化，可以大大地降低回收成本，提高电池回收效率。本文针对目前山西某市电池回收地址的不合理性，综合考虑各种回收影响因素，以回收成本和回收范围为目标，建立多目标规划选址模型，对山西某市电池回收网点的选址进行优化，最终使得设立网点数量最优、成本最低、回收服务范围最大，并利用LNGO对算例进行求解，验证了该模型的可行性。

Study on the MOP Model Based on New Energy Vehicle Battery Recycling Site Selection

The reasonable recycling of new energy vehicle batteries can effectively promote the further development of new energy vehicles in China, and the rational optimization of the location of new energy vehicle battery recycling sites can greatly reduce recycling costs and improve battery recycling efficiency. This thesis aims at the unreasonable current battery recycling address in a certain city of Shanxi, comprehensively considers all kinds of recycling influencing factors, takes recycling cost and recycling scope as the goal, establishes a multi-objective planning site selection model, and carries out the location selection of a battery recycling network in a city of Shanxi. The optimization ultimately resulted in the best number of outlets, the lowest cost, and the largest range of recycling services. LNGO was used to solve the example, which verified the feasibility of the model.