Research on Multi-Center Mixed Fleet Distribution Path Considering Dynamic Energy Consumption Integrated Reverse Logistics

The fleet operation model in which electric vehicles coexist with traditional is becoming increasingly popular. Because have certain disadvantages and usage limitations, the multi-center management of distribution mixed fleets very complex. There no research on vehicle routing problem based integration reverse logistics dynamic energy consumption. In response to this challenge, study proposes a solution considering consumption integrated logistics. Specifically, three studies were carried out: (1) Considering influencing factors operating cost system fleet, dynamics was constructed. (2) On basis delaying aging batteries, new charging station insertion strategy designed. (3) Based novel strategy, fast non-dominated sorting multi-objective genetic algorithm an elite designed solve problem. We 15 groups examples prove effectiveness algorithm. experimental results show that 46.67% cases more than 60% customer satisfaction. average expenditure CNY 2018.33, can improve satisfaction by 22.94%. This method helps companies formulate transportation plans according actual situation, including providing considers multiple improving while reducing total expenditure. believe provide methods ideas for centers large-scale plans.