新能源汽车供应链的关键风险节点识别方法

In this paper,the open data of Tesla and XPENG,which have typical analytical value in the new energy automobile industry,are respectively used to construct networksof supply chain.And the key node identification method of risk transmission based on multi-dimensional fusion is studied according to the structural correlation characteristics of the network of supply chain.Firstly,the network centrality characteristics are introduced to analyze and calculate the key node.At the same time,considering the characteristics of systemic risk transmission in supply chain of automotive,the risk immune transmission model is introduced to determine the key nodes.Finally,the cascading failure model of the two networks is analyzed respectively,and the key nodes that have strong impact on network failure are selected.Through multi-dimensional key node analysis,it is found that the key nodes with strong impact include not only core enterprises such as batteries in the traditional sense,but also accessory enterprises with invisible leading position.Therefore,through the comprehensive analysis method of structure and transmission attribute proposed in this paper,the potential hidden key risk control nodes in the network of supply chain of new energy vehicles can be well found,which has good practical application value.