| In the context of global climate change,carbon neutrality has become an important goal for governments and enterprises.As an important source of carbon emissions,the contribution of the automotive industry to the goal of carbon neutrality cannot be ignored.However,the increasing number of cars has led to the increasing number of scrapped cars,which has a serious impact on the environment.At the same time,the disposal of scrapped vehicles involves multiple links,including collection,disassembly,recycling and transportation,etc.Therefore,it is necessary to establish an efficient and sustainable reverse logistics network to solve this problem.Optimizing the reverse logistics network of scrapped vehicles recycling has many benefits,which can not only reduce carbon emissions,but also save resources and reduce environmental pollution,which is of great significance to society,economy and environment.Therefore,the optimization of reverse logistics network for scrapped vehicles is a subject of great practical and theoretical significance.The research of scrap vehicle recycling is inseparable from the design and optimization of reverse logistics network.The aim of this study is to build a sustainable reverse logistics network optimization model for scrapped vehicles in order to reduce the negative impact of scrapped vehicles on the environment in the context of carbon neutrality.To this end,this paper first summarizes the current domestic and foreign scrapped vehicle recycling mode and reverse logistics network development dynamics and research progress,elaborated the circular economy development related theories,reverse logistics network design and solution tools application methods,laid a theoretical foundation for the design of scrapped vehicle recycling network;Secondly,the development status and policy status of reverse logistics of scrapped vehicles were analyzed,and the feasibility of carbon emission reduction in the network recycling activities of reverse logistics of scrapped vehicles in China was discussed.Thirdly,a reasonable reverse logistics network for scrapped vehicles is designed,and double constraints of carbon tax and carbon trading are added.A dual-objective optimization model with maximum economic benefits and minimum carbon emissions is constructed.Two-stage genetic algorithm is used to solve the reverse logistics network for scrapped vehicles.Finally,MATLAB is used to analyze an automobile recycling enterprise,and the influence of carbon tax and carbon trading on the whole reverse logistics network is verified,and relevant suggestions are put forward.The innovation of this paper is that the constraint conditions of carbon tax and carbon trading are added to the reverse logistics network of scrapped vehicles.By comparing the optimization process of the model,the effectiveness of the two-stage genetic algorithm is proved.Through sensitivity analysis,the influence degree of carbon tax and carbon trading on the economic and environmental benefits of the reverse logistics network is obtained.This study provides a reference for reverse logistics network planning and design,and provides an important theoretical and practical reference for the automobile industry to promote the realization of carbon neutrality. |