Author(s)

Hanzhi Yu ¹

Affiliation(s)

¹ School of Economics and Management, Southeast University, Nanjing, 210096, China

Corresponding Author

Hanzhi Yu

ABSTRACT

The automotive industry is one of the pillar industries of the Chinese economy and still has excellent development potential. However, due to the complex structure of automobiles, the riskiness probability in the automotive manufacturing supply chain is greatly increased compared with other manufacturing supply chains. Thus, this paper proposes a risk assessment model integrating the combined weighting method and the fuzzy comprehensive evaluation method. Firstly, risk factors are identified according to the improved SCOR model. Second, the combined weights of risk factors are calculated using the Lagrange multiplier method. Finally, the risk factors are evaluated through the fuzzy comprehensive evaluation method. The first-level risk factors, in order of their impact on the supply chain, are: Procurement process risk, Production process risk, Planning process risk, Reverse process risk, Delivery process risk, Research and development process risk, and Operation and maintenance process risk. In addition, this paper also ranks the impact of second-level risk factors within each process. The results of the risk assessment model provide theoretical support for the supply chain risk management of automotive manufacturing-related companies.

KEYWORDS

Automotive manufacturing supply chain, Combined weighting, The fuzzy comprehensive evaluation method, Risk assessment

CITE THIS PAPER

Hanzhi Yu, Risk Assessment of Automotive Manufacturing Supply Chain Based on Combined Weighting—Fuzzy Comprehensive Evaluation. Industrial Engineering and Innovation Management (2024) Vol. 7: 129-138. DOI: http://dx.doi.org/10.23977/ieim.2024.070218.

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