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Enhancement of supply chain resilience through inter-echelon information sharing

Author

Listed:
  • Haobin Li

    (A*STAR Singapore)

  • Giulia Pedrielli

    (National University of Singapore)

  • Loo Hay Lee

    (National University of Singapore)

  • Ek Peng Chew

    (National University of Singapore)

Abstract

Supply chains in the globally interconnected society have complex structures and thus are susceptible to disruptions such as natural disasters and diseases. The impact of the risks and disruptions that occur to one business entity can propagate to the entire supply chain. However, it has been proposed that cooperation amongst business entities can mitigate the impact of the risks. This paper aims to investigate the value of information sharing in a generalized three-echelon supply chain. The supply chain model is built in a system dynamics software, and three decision-making rules based on different levels of information sharing are developed. Performances of the three ordering policies with shock applied are compared. The results of the experiments prove the value of information sharing in the supply chain when shock exists.

Suggested Citation

  • Haobin Li & Giulia Pedrielli & Loo Hay Lee & Ek Peng Chew, 2017. "Enhancement of supply chain resilience through inter-echelon information sharing," Flexible Services and Manufacturing Journal, Springer, vol. 29(2), pages 260-285, June.
    • Handle: RePEc:spr:flsman:v:29:y:2017:i:2:d:10.1007_s10696-016-9249-3
    DOI: 10.1007/s10696-016-9249-3
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    References listed on IDEAS

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    Cited by:

    1. Roberto Dominguez & Salvatore Cannella & Borja Ponte & Jose M. Framinan, 2022. "Information sharing in decentralised supply chains with partial collaboration," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 263-292, June.
    2. Antonio Zavala-Alcívar & María-José Verdecho & Juan-José Alfaro-Saiz, 2020. "A Conceptual Framework to Manage Resilience and Increase Sustainability in the Supply Chain," Sustainability, MDPI, vol. 12(16), pages 1-38, August.
    3. Lohmer, Jacob & Bugert, Niels & Lasch, Rainer, 2020. "Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study," International Journal of Production Economics, Elsevier, vol. 228(C).
    4. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.

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