Research On Automobile Maintenance Model Based On Big Data

This paper proposes a new model of automobile maintenance based on the analysis of the business model for automobile maintenance together with big data.The model is used to optimize the inventory of spare parts and evaluate the quality of maintenance service.The application and analysis of the new model is carried out for a 4S shop in Ningxia.The results show that the new model of automobile maintenance based on big data proposed in this paper gives full play to the data advantages of parts inventory and satisfaction evaluation of maintenance service.At last,an automobile maintenance management system is designed based on the 4S shop model.The new development opportunities for the automobile maintenance modes are described and analyzed in the context of internet sharing mode rise,the continuous innovation of power energy,the continuous change of consumer market and the change of users’ travel habits.The development characteristics of the current automobile maintenance mode are analyzed based on the theory of big data as well as the application status of big data in automobile maintenance market.Then,this paper analyzes the influence of current laws and market scale on the traditional automobile maintenance industry in China as well as the status quo of automobile maintenance enterprises based on the results of existing big data.By comparing the advantages and disadvantages of six automobile maintenance operation modes in Chinese market,and studying the mature model of automobile maintenance in the automobile industry countries such as the United States and Japan,combining with the development of domestic new energy vehicles,as well as the development trend of new travel modes of network vehicles,taxis and public transport,and the trend of consumer groups,etc.,the innovation research of automobile maintenance mode is put forward.This mode is to optimize inventory and improve the quality of maintenance service.Based on the research results of big data and the theory of ABC inventory classification,this paper sets up the evaluation criteria of parts,and the inventory optimization model of automobile parts is established.Three representative automobile parts,such as oil,tire and spiral spring are used to verify the model.It is proved that the model can reduce the inventory pressure for the maintenance enterprises in practical application.Based on SERVQUAL service quality evaluation theory,the paper establishes the evaluation model of automobile maintenance service quality by using the big data results.Taking Ningxia AAA Automobile Sales Co.,Ltd.as an example,the quality evaluation of maintenance has been completed.The improvement suggestions such as extending the night maintenance time,paying attention to the deep cooperation of insurance companies and strengthening follow-up visit are put forward.Finally,this paper analyzes the use requirements of the automobile maintenance management system based on the 4S shop with the optimization model.Through the demand,the organization structure and maintenance process of the 4S store are sorted out,and the total framework and the function of each module are designed.