Research On The Design Of Reverse Logistics Network For Battery Recall Of Electric Vehicles

The scale of electric vehicle recalls reached 357,000 units in 2020,and various problems arising from often lead to recalls of electric vehicles.According to the data released by the national regulatory platform for electric vehicles,fires caused by problems account for 58%.Although the country pays more and more attention to the whole life cycle of,the existing research on recall of electric vehicles is insufficient,especially the reverse logistics network of recall has the status quo of imperfect network structure,backward basic functions within the network,poor network timeliness,etc.,and there are also problems such as insufficient safety and environmental protection of the network,and the network can only achieve local optimization instead of overall optimum,etc.These problems make it impossible for relevant departments and recall companies to achieve a collaborative,accurate,rapid and scientific response.Once a major problem of occurs,if it cannot be recalled effectively in time,it will cause incalculable losses.Therefore,through field research,literature analysis and mathematical modeling,this study takes into account the special circumstances that exist in the recall process(such as the possibility of liquid leakage,electricity leakage,spontaneous combustion,etc.)and the social and ecological responsibilities that enterprises need to take into account,points out the problems of the existing reverse logistics network for recall and proposes strategies.This study innovatively explores the reverse logistics network of recall,incorporating safety and environmental risks,recall response time,social responsibility,and economic benefits into a multi-objective multi-period mixed-integer nonlinear programming model to promote the safe,environmentally friendly,and efficient operation of the entire network,thereby maximizing the overall benefits to society.This study provides some theoretical guidance for research related to recalls and provides some reference basis for managers or policy makers of enterprises related to recalls.Firstly,this study explains the background of the study,explaining the reality of electric vehicle ownership,recalls,and the frequent occurrence of-related accidents,and the fact that recalls are given great attention in countries around the world.Through the analysis of the existing problems and the current situation of domestic and foreign research,the urgency of constructing a reverse logistics network for electric vehicle recall is explained,the practical and theoretical significance of constructing this model is clarified,and the basic framework content and innovation points of this paper are described.Then,we analyze,summarize and review the theories related to reverse logistics and closed-loop supply chain,discuss their connotation,characteristics and classification,and discuss the application of these theories in building the reverse logistics network of EVB.Then,based on the current situation of recycling of electric vehicles,this study closely combines with the definition,classification and characteristics of,analyzes the development of the recycling market and the current situation of the recycling system of of electric vehicles,and also analyzes the existing problems of recycling from three perspectives: the recycling system is not complete,the recycling network is not perfect,and the interests of the recycling network are difficult to be balanced,and according to the relevant problems The necessity of constructing a reverse logistics network for recall is derived.The construction of a reasonable recall network model can not only protect the rights and interests of consumers,but also improve their image and protect the ecological environment,so as to maximize the overall social benefits.Secondly,on the basis of relevant theories and current situation research,the reverse logistics network design for electric vehicle considering recall risk is carried out,including the definition of relevant issues,the assumption of model rationality,the establishment of model,the setting of objective function and the establishment of constraint variables.Finally,a multi-period mixed integer nonlinear model considering various factors such as reverse logistics recall time,testing cost,packaging cost,setup scale,transportation cost,operation cost,number of jobs created,storage cost,etc.,with social benefits(including social responsibility,response time,urban safety)and economic benefits(including economic cost,economic income)maximization as the objective is established and strategic suggestions are given.Finally,this study collects 364 service outlets and other related data in Shanghai,predicts and calculates the future sales and recalls using Fourier prediction models,and empirically analyzes and solves the reverse logistics network model for electric vehicle recalls in Shanghai using Lingo 18.0,so as to determine the location and number of each recall reverse logistics facility,as well as the location and number of each distribution of the recall outlets and the direction of the reverse logistics of,with sensitivity analysis,and provide some reference basis for enterprise managers and policy makers to ensure the establishment of a safe,green and efficient reverse logistics network for recall in Shanghai.In a comprehensive view,this study adopts a combination of Fourier prediction model and mixed integer programming model for the special characteristics of EVB,combines other reverse logistics,closed-loop supply chain and other related theories,realizes the analysis of reverse logistics network design for recall of electric vehicles,gives strategic suggestions,and conducts a quantitative empirical evidence of reverse logistics network for recall in Shanghai.The results are useful for predicting possible future recalls.The results of the study provide some data support for predicting the possible future recalls,the location of the reverse logistics facilities for recalls,and the direction of traffic among the network facilities,and have certain scientific research significance and practical significance.