主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
汽车实用技术

汽车实用技术 ›› 2025, Vol. 50 ›› Issue (14): 40-42,59.DOI: 10.16638/j.cnki.1671-7988.2025.014.008

• 智能网联汽车 • 上一篇    

智能网联汽车供应链风险关键影响因素辨识

郑鹏   

  1. 福建船政交通职业学院
  • 发布日期:2025-07-28
  • 通讯作者: 郑鹏
  • 作者简介:郑鹏（1985－），男，实验师，研究方向为智能网联汽车、新能源汽车技术

Identification of Key Influencing Factors of Intelligent Connected Automobile Supply Chain Risk

ZHENG Peng   

  1. Fujian Chuanzheng Communications College
  • Published:2025-07-28
  • Contact: ZHENG Peng

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摘要： 研究旨在辨识影响智能网联汽车（ICV）供应链运行稳定性的关键因素。首先通过系统 性文献综述和德尔菲法专家咨询法构建 ICV 供应链风险因素初始指标体系；然后运用模糊决 策实验室（DEMATEL）分析法构建风险因素间的复杂影响网络，计算各风险因素的中心度和 原因度；最后通过生成的因果影响关系图分析各风险因素在 ICV 供应链风险网络中的中心性 和因果影响力。研究结果为 ICV 产业供应链风险管理提供了新的视角和方法论路径，对提升 供应链运行稳定性和韧性具有一定的意义。

关键词: ICV；供应链风险；DEMATEL；风险因素辨识

Abstract: Study aims to identify the key factors affecting the operational stability of the intelligent connected vehicle (ICV) supply chain. Firstly, an initial indicator system for the risk factors of the ICV supply chain is constructed through a systematic literature review and Delphi expert consultation. Subsequently, the fuzzy decision-making trial and evaluation laboratory (DEMATEL) method is utilized to construct a complex influence network among risk factors and to calculate the centrality and causality of each risk factor. Finally, the causal influence diagram generated is analyzed to assess the centrality and causal influence of each risk factor within the ICV supply chain risk network. The findings of this study provide a new perspective and methodological approach for supply chain risk management in the ICV industry, which holds significant implications for enhancing the operational stability and resilience of the supply chain

Key words: ICV; supply chain risk; DEMATEL; risk factor identification