A Novel Sustainable Reverse Logistics Network Design for Electric Vehicle Batteries Considering Multi-Kind and Multi-Technology

With the expansion of new energy vehicle market, electric batteries (EVBs) have entered a massive retirement wave. The strategic level facility location and configuration decisions tactical multi-product flow multi-technology selection been integrated into sustainable reverse logistics network (SRLN). In this paper, we considered multiple kinds waste (WEVBs) with recycling technology constructed multi-level SRLN model for WEVBs objectives minimum economic costs carbon emissions. To solve model, fuzzy set theory was applied to equivalence transformation constraints, non-interactive interactive methods were used multi-objective planning (MOP), programming priority control proposed find global optimal solution model. Finally, numerical experiments demonstrated feasibility effectiveness method. experimental results show that considering emissions can significantly reduce through slight increase in initial construction cost, thus effectively balancing both environmental objectives. solution, Lp-metric method has lower deviation index than weighted sum method; paper outperforms TH terms number practical solutions CPU time shows strong performance searching finding solutions. provide theoretical basis technical support WEVB under limited information uncertainty environment.