Analysis on the Bottlenecks in Automobile Industry – Based on the Database Method of the Whole Automobile Industry Supply Chain

Abstract

After the outbreak of COVID-19 in 2020, the industrial supply chain in different industries has exposed a series of problems. The Party Central Committee clearly pointed out that we should improve the stability and competitiveness of the industrial supply chain. The upstream and downstream automobile industry has a long industry chain with a complex supply system, and it has both shortcomings and advantages. In order to ensure the stability of the supply chain of China's automobile industry, analyze the bottlenecks of the industry and put forward corresponding solutions, this paper used big data to establish a supply chain database of independent brand automobile as a new analysis tool, to enhance the analysis accuracy, specify the measures and analyze the key links of China's automobile industry being controlled by others through the network diagram and risk rating table. Next, it is suggested to establish and improve the supply chain database of the whole automobile industry as soon as possible, improve the data collection and inter departmental coordination mechanism, and accelerate the establishment of a “dual circulation” development pattern of a new system of automobile industry development in which domestic economic cycle plays a leading role while international economic cycle remains its extension and supplement.