A Methodology for Assessing Automotive Supply Chain Security Based on Operational Mechanisms

Guiyou Liang, Changsheng Gao (), Taojie Du and Yuting Liu
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Guiyou Liang: First Automobile Works Group Corporation
Changsheng Gao: First Automobile Works Group Corporation
Taojie Du: First Automobile Works Group Corporation
Yuting Liu: Changchun University of Science and Technology, School of Computer Science and Technology

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 1410-1418 from Springer

Abstract: Abstract As the automobile gradually moves towards intelligent and connected development, cooperation between companies in the automotive supply chain is getting closer and closer. Main automakers choosing different suppliers will have different impacts on the security and stability of the supply chains. Therefore, this article constructs evaluation index system for the automotive supply chain, which assesses the relative safety and stability of companies in the automotive supply chain from seven aspects: R&D capacity, Production capacity, Service capacity, Management capacity, Procurement capacity, Delivery capacity and Control capacity. Based on this, the article quantifies expert opinions on company evaluation using Double Hierarchy Hesitant Fuzzy Linguistic (DHHFL) implementation, calculates the importance of various evaluation indicators through entropy method, and finally achieves safety evaluation of each company. The multi-dimensional analysis of the safety state of automobile manufacturing enterprises provides decision-making suggestions for supply chain management.

Keywords: Supply Chain Security; Safety assessment methodology; DHHFL (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-256-9_142

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