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Analysis of manufacturing supply chain resilience in China.

Authors :
Bai, Xiaokang
Wu, Shasha
Song, Hongfong
Guo, Yan
Source :
Procedia Computer Science; 2024, Vol. 242, p968-975, 8p
Publication Year :
2024

Abstract

The manufacturing industry serves as the mainstay of the modern economic system and enhancing the resilience of the manufacturing supply chain (SC) is crucial in the face of global instability. Numerous research frameworks have been devised to evaluate supply chain resilience(SCR). However, these frameworks primarily concentrate on the internal SC performance, such as supplier on-time delivery rate and inventory turnover. This paper establishes a four-dimensional evaluation index system for assessing China's manufacturing SCR at the macro level, including risk-resistance, recovery, responsiveness, and learning capabilities. The Self-Organizing Map (SOM) model is used for clustering analysis. Then the empirical analysis is conducted by using data from Chinese manufacturing listed companies between 2011 and 2020. The findings reveal that: ①The overall resilience of China's manufacturing SC is suboptimal: only 3.23% exhibit a superior resilience level, followed by a high resilience level of 6.45%, a medium resilience level of 54.84%, and the low resilience level reaching 35.48%. ②Significant regional disparities exist in the resilience of China's manufacturing SC. This paper proposes several recommendations for enhancing China's manufacturing SCR. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18770509
Volume :
242
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
179171553
Full Text :
https://doi.org/10.1016/j.procs.2024.08.269