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Modelling of risk transmission and control strategy in the transnational supply chain

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Listed:
  • Zhimei Lei
  • Ming K. Lim
  • Li Cui
  • Yanzhang Wang

Abstract

With the process of economic globalisation, especially the Belt and Road Initiative implemented by China, the transnational supply chain is dramatically increasing, and the risk ripple effect is becoming increasingly important. Understanding and predicting the dynamic trend of risk transmission within the transnational supply chain is important to prevent the spread of risks. However, the current research lacks the dynamic interpretation of risk transmission and control in the transnational supply chain and ignores the impact of differences among suppliers and the network structure. Therefore, this paper proposed an improved susceptible-infectious-susceptible (SIS) model combined with a complex network model and an optimised approach to the selection of risk control strategies to explore three issues: first, the dynamic change and trend of risk transmission; second, the relationships and impacts of different suppliers and structure of the supply chain on risk transmission; and third, the selection of a risk control strategy within the transnational supply chain. A numerical analysis and an example of a risk control strategy selection are conducted to reveal four properties of risk transmission within the transnational supply chain. In addition, the model is verified with a simulation of a real-world scenario based on the 2011 Japanese earthquake and tsunami.

Suggested Citation

  • Zhimei Lei & Ming K. Lim & Li Cui & Yanzhang Wang, 2021. "Modelling of risk transmission and control strategy in the transnational supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 59(1), pages 148-167, January.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:1:p:148-167
    DOI: 10.1080/00207543.2019.1698782
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    Cited by:

    1. Yue, Xiongping & Mu, Dong & Wang, Chao & Ren, Huanyu & Peng, Rui & Du, Jianbang, 2024. "Critical risks in global supply networks: A static structure and dynamic propagation perspective," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    2. Xiongping Yue & Dong Mu & Chao Wang & Huanyu Ren & Jianbang Du & Pezhman Ghadimi, 2024. "Disruption risks to Chinese overseas flat panel display supply networks under China’s zero-COVID policy," Operations Management Research, Springer, vol. 17(2), pages 406-437, June.
    3. Sawik, Tadeusz, 2022. "Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study," Omega, Elsevier, vol. 109(C).

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