Affiliations: School of Transportation, Southeast University, Nanjing, Jiangsu, China
Correspondence:
[*]
Corresponding author. Leyan Wang, School of Transportation, Southeast University, Nanjing, Jiangsu, China, 211189. E-mail: [email protected].
Abstract: Potential supply chain risks are one of the hidden dangers that may undermine the reliable and stable operation of enterprises. Due to the practicality and complexity of supply chain risk management, the field has attracted wide attention from researchers. The urgent problems of supply chain management at present include how to help enterprises analyze and identify supply chain risk factors, predict and control the potential risks, and provide the corresponding preventive measures for various risks. There are many assessment methods in the research process of supply chain risks. In this paper, a multi-level fuzzy comprehensive assessment method is adopted. Based on the current risk status of the traffic enterprises in our country, an attempt is made to apply the multi-level fuzzy comprehensive assessment method to risk assessment. The main risk factors faced by traffic enterprises in the supply chain are analyzed to obtain the assessment results, which can provide ideas for further research in the future.
