Computer Science

Computer Science ›› 2023, Vol. 50 ›› Issue (6A): 221100052-7.doi: 10.11896/jsjkx.221100052

• Software & Interdiscipline • Previous Articles     Next Articles

Key Risk Node Identification Methods in New Energy Vehicle Supply Chain

YANG Xiaobo1,2,3,4,5,6, GAO Haiwei7, LIU Tianyue1,2,3,4,5,6, GUO Binghui1,2,3,4,5,6   

  1. 1 Key Laboratory of Mathematics, lnformatics, Behavioral Semantics, School of Mathematical Sciences, Beihang University, Beijing 100191, China;
    2 Institute of Artificial Intelligence, Beihang University, Beijing 100191, China;
    3 State Key Laboratory of Software Development Enviroment,Beijing 100191,China;
    4 Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing,Beijing 100191,China;
    5 Zhongguancun Laboratory,Beijing 100094,China;
    6 Peng Cheng Laboratory,Shenzhen,Guangdong 518055,China;
    7 School of Mechanical,Electronic and Control Engineering,Beijing Jiaotong University,Beijing 100044,China
  • Online:2023-06-10 Published:2023-06-12
  • About author:YANG Xiaobo,born in 1994,Ph.D candidate,is a member of China Computer Federation.His main research interests include data science and complex networks. LIU Tianyue,born in 1997,Ph.D candidate,is a member of China Computer Federation.Her main research interests include supply chain finance and privacy computing.
  • Supported by:
    National Key R&D Program of China(2021ZD0201302),National Natural Science Foundation of China(U20B2053) and Key R&D Program of Guangdong Province,China(2021B0101420003).

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Abstract: 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.

Key words: Automobile supply chain, Risk transmission, Key node identification

CLC Number: 

  • O29
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