交通运输研究2025，Vol.11Issue(3)：43-54,83,13.DOI:10.16503/j.cnki.2095-9931.2025.03.005
智能网联新能源汽车供应链韧性评估方法
Resilience Evaluation Method for Intelligent Connected and New Energy Vehicle Supply Chain
摘要
Abstract
To measure the ability of the intelligent connected and new energy vehicle supply chain to main-tain stability in the face of external disturbances,a supply chain resilience assessment method is proposed.Firstly,considering the risk resistance capability of the five links of research and development,supply,production,sale,and after-sale in the intelligent connected and new energy vehicle supply chain,a sup-ply chain resilience measurement framework is proposed from two dimensions:single link resistance capability and multi link coordination capability.Then,the entropy weight TOPSIS method,coupled coordination degree model,and K-means clustering algorithm are used to quantitatively evaluate and classify the resilience of the supply chain.And based on the development data of 12 regions,case anal-ysis is conducted.Finally,the main influencing factors of supply chain resilience are identified through the indicator obstacle degree model.The results indicate that there is a significant overall gap in the resilience level of supply chains among different regions,with Guangdong,Jiangsu,Shanghai,and Zhejiang showing leading performances in various links of the supply chain;the gap between high resilience areas and low resilience areas mainly comes from the upstream links of the supply chain,with the most significant difference in component matching between the two,but the gap in post mar-ket service guarantee is small;the supply chain in most regions is on the brink of imbalance or below,and strong risk resistance is accompanied by strong coordination ability;the main factors affecting the resilience of the supply chain are the clustering density of maintenance and repair enterprises,the clus-tering density of dealers,the number of patent publications,the number of component suppliers,and the output of new energy vehicles.Therefore,while expanding the industrial scale in various regions,attention should be paid to the coordination and complementarity of capabilities in each link,in order to avoid hindering the improvement of supply chain efficiency due to supply chain imbalance.关键词
智能交通/供应链韧性/熵权-TOPSIS模型/耦合协调度/智能网联新能源汽车Key words
intelligent transportation/supply chain resilience/entropy weight TOPSIS model/cou-pling coordination degree/intelligent connected and new energy vehicle分类
交通工程引用本文复制引用
程茜伶,王礼刚,蔡晓禹,陈坚..智能网联新能源汽车供应链韧性评估方法[J].交通运输研究,2025,11(3):43-54,83,13.基金项目
重庆市哲学社会科学创新工程重点项目(2024CXZD26) （2024CXZD26）
