A Methodology for Assessing Automotive Supply Chain Security Based on Operational Mechanisms
- DOI
- 10.2991/978-94-6463-256-9_142How to use a DOI?
- Keywords
- Supply Chain Security; Safety assessment methodology; DHHFL
- 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.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Guiyou Liang AU - Changsheng Gao AU - Taojie Du AU - Yuting Liu PY - 2023 DA - 2023/10/09 TI - A Methodology for Assessing Automotive Supply Chain Security Based on Operational Mechanisms BT - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) PB - Atlantis Press SP - 1410 EP - 1418 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-256-9_142 DO - 10.2991/978-94-6463-256-9_142 ID - Liang2023 ER -