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Cascading failure resilience analysis and recovery of automotive manufacturing supply chain networks considering enterprise roles

Author

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  • Fu, Xiuwen
  • Xu, Xiaojie
  • Li, Wenfeng

Abstract

With the rapid development of global trade, the member enterprises in the automotive manufacturing supply chain are widely spread around the world. As a result, the scale of the automotive manufacturing supply chain network has become increasingly large, and the structure has become more complex. At the same time, the connection between enterprises is becoming closer. On one hand, the close business relationships between enterprises and the vast network structure accelerate the operation efficiency of the automotive manufacturing supply chain network. On the other hand, it also exposes the entire network system to high risks of cascading failures when facing disruptions due to enterprise production interruptions. Therefore, this work aims to establish a realistic cascading failure model for the automotive manufacturing supply chain network to explore its cascading failure characteristics. Based on this model, a two-stage recovery strategy is proposed to enhance the network’s cascading failure resilience. Experimental results demonstrate the following findings: (1) underload nodes that emerge after load redistribution are the main cause of cascading failure resilience degradation in automotive manufacturing supply chain networks; (2) cascading failure resilience is negatively correlated with the load-exponential coefficient, the capacity lower-limit coefficient, and the attenuation-tolerance coefficient; (3) among four different types of attacks, cascading failures caused by the high eigenvector centrality attack strategy and the high degree attack strategy impose the most severe damage on the automotive manufacturing supply chain network; (4) the proposed two-stage recovery strategy can significantly improve the cascading failure resilience of the automotive manufacturing supply chain network.

Suggested Citation

  • Fu, Xiuwen & Xu, Xiaojie & Li, Wenfeng, 2024. "Cascading failure resilience analysis and recovery of automotive manufacturing supply chain networks considering enterprise roles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
    • Handle: RePEc:eee:phsmap:v:634:y:2024:i:c:s0378437123010336
    DOI: 10.1016/j.physa.2023.129478
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    1. Duan, Dong-Li & Ling, Xiao-Dong & Wu, Xiao-Yue & OuYang, Di-Hua & Zhong, Bin, 2014. "Critical thresholds for scale-free networks against cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 252-258.
    2. Hao, Hongchang & Ma, Zhe & Wang, Anjian & Xing, Wanli & Song, Hao & Zhao, Pei & Wei, Jiangqiao & Zheng, Shuxian, 2023. "Modeling and assessing the robustness of the lithium global trade system against cascading failures," Resources Policy, Elsevier, vol. 85(PB).
    3. Clinton Free & Angela Hecimovic, 2021. "Global supply chains after COVID-19: the end of the road for neoliberal globalisation?," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 34(1), pages 58-84, September.
    4. Yang, Qihui & Scoglio, Caterina M. & Gruenbacher, Don M., 2021. "Robustness of supply chain networks against underload cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    5. Shi, Xiaoqiu & Long, Wei & Li, Yanyan & Deng, Dingshan, 2022. "Robustness of interdependent supply chain networks against both functional and structural cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    6. Liu, Honglu & Tian, Zhihong & Huang, Anqiang & Yang, Zaili, 2018. "Analysis of vulnerabilities in maritime supply chains," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 475-484.
    7. Geng, Liang & Xiao, Renbin, 2017. "Outer synchronization and parameter identification approach to the resilient recovery of supply network with uncertainty," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 407-421.
    8. Goldbeck, Nils & Angeloudis, Panagiotis & Ochieng, Washington, 2020. "Optimal supply chain resilience with consideration of failure propagation and repair logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    9. Kevin P. Scheibe & Jennifer Blackhurst, 2018. "Supply chain disruption propagation: a systemic risk and normal accident theory perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 43-59, January.
    10. HOSSAIN, Niamat Ullah Ibne & Amrani, Safae El & Jaradat, Raed & Marufuzzaman, Mohammad & Buchanan, Randy & Rinaudo, Christina & Hamilton, Michael, 2020. "Modeling and assessing interdependencies between critical infrastructures using Bayesian network: A case study of inland waterway port and surrounding supply chain network," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    11. Zhao, Peixin & Yin, Shengnan & Han, Xue & Li, Zhuyue, 2021. "Research on lean supply chain network model based on node removal," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    12. Wang, Yingcong & Xiao, Renbin, 2016. "An ant colony based resilience approach to cascading failures in cluster supply network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 150-166.
    13. Xuerou Sheng & Leping Chen & Xueliang Yuan & Yuzhou Tang & Qian Yuan & Rong Chen & Qingsong Wang & Qiao Ma & Jian Zuo & Hongwei Liu, 2023. "Green supply chain management for a more sustainable manufacturing industry in China: a critical review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1151-1183, February.
    14. Fu, Xiuwen & Li, Qing & Li, Wenfeng, 2023. "Modeling and analysis of industrial IoT reliability to cascade failures: An information-service coupling perspective," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    15. repec:eme:aaaj00:aaaj-06-2020-4634 is not listed on IDEAS
    16. Tang, Liang & Jing, Ke & He, Jie & Stanley, H. Eugene, 2016. "Complex interdependent supply chain networks: Cascading failure and robustness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 58-69.
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    7. Zhao, Yixin & Cai, Baoping & Cozzani, Valerio & Liu, Yiliu, 2025. "Failure dependence and cascading failures: A literature review and research opportunities," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
    8. Liang, Yuanyuan & Xia, Yongxiang & Wang, Yang & Bai, Guanghan & Wu, Leilei & Wu, Menghui & Ding, Xixi, 2025. "Robustness analysis of cyber–physical supply chain systems under hybrid cascading failures," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
    9. Fu, Xiuwen & Tian, Mengyao & Liu, Xiangwei & Wu, Shaomin & Peng, Rui, 2026. "Cascading failure resilience of dual-layer supply chain networks under enterprise competition with incomplete information," Reliability Engineering and System Safety, Elsevier, vol. 266(PB).
    10. Luo, Li & Nian, Fuzhong, 2026. "Cascading shocks on heterogeneous enterprise production network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 681(C).
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