Reverse logistics network design model for used power battery under the third-party recovery mode

In order to effectively solve the problem of location optimization of power battery recycling enterprises, and promote the long-term and effective development of the industry, in this paper, the power battery is taken as the research object, and considering the differences in the use of new energy vehicles, there are two ways to recycle used power batteries, namely “vehicle scrap” and “old-for-new”. Based on the third-party recycling mode of power batteries, a reverse logistics network consisting of consumers, third-party recovery centers and third-party processing points is constructed. Considering the impact of power batteries on residents and environment in the process of recovery, a dual objective mixed integer linear programming model is established. We use genetic algorithm to solve the model, and analyze the impact of the adjustment coefficient of social negative effect on the facility locations and the total cost.