Optimization Study Of Product Quality Management In F Auto Parts Company

With the rapid development of China’s auto industry,especially the widespread promotion of new energy vehicles in recent years,which has accelerated the development of auto production,the importance of the quality requirements of auto parts by car companies has been raised to a new height in order to improve their competitiveness.Therefore,the product quality management of auto parts enterprises has become the basis of the company’s sustainable development,and is a subject worthy of study and optimization.Company F,as a foreign-funded auto parts manufacturer,has several factories in Asia,serving 80% of the world’s OEMs,so both internally and externally,it has higher requirements for product quality.In terms of traditional inspection,there is a relative lack of computer-aided tools.Therefore,this paper takes Company F as the research object,based on the current quality product status of Company F,and proposes an optimization plan from the combination of quality management system,quality management theory,and computer application.From the actual production process of the factory and the company’s own quality management system,the paper mapped out the quality management methods and quality tools through the knowledge of domestic and foreign quality theories,the characteristics of quality management in the production of Company F,the main influencing factors,found deficiencies,and applied quality methods such as total quality management,lean production,and failure mode to optimize the quality management system of the factory.Nowadays,in the context of national smart manufacturing,companies are also aware of the need to improve the optimization of product quality with the help of information technology platform and machine learning technology.The thesis will comprehensively analyze the production chain of the factory,and through the current situation of quality management in the production chain,it is found that the factory faces many problems such as inefficient product quality problem solving,more bottleneck stations,low yield rate in some stations,insufficient quality training,quality deviation during rush,and poor execution.According to the current situation,the thesis uses a combination of interviews,research and proposes targeted improvement measures: such as optimizing the quality management system,establishing standardization in the factory,IT smart factory construction,and improving management execution to optimize the quality management.