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Aligning supply chain design for boosting resilience

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  • Sáenz, María Jesús
  • Revilla, Elena
  • Acero, Beatriz

Abstract

Many researchers have analyzed the effect of disruptive events, such as natural disasters and economic and market forces, on global supply chains. However, there is a lack of consensus on delineating a universal collection of supply chain risk management practices that will help companies operate in a global market with large-scale disruptions. In this article, we present an analysis, in conjunction with a worldwide online survey, based on successful global brands and their supply chains. We propose a framework that deploys the dynamics of building supply chain resilience, first linking the design of the supply chain portfolio (local versus global scope, as well as strategic responsiveness versus cost reduction) with supply chain vulnerabilities (external versus internal). We describe the transition between different supply chain structures as a way of coping with disruptions and thus proactively developing resilience. In this article, we introduce both a supply chain risk management approach and the reactive-by-deployment mode, as illustrated by successful global company examples.

Suggested Citation

  • Sáenz, María Jesús & Revilla, Elena & Acero, Beatriz, 2018. "Aligning supply chain design for boosting resilience," Business Horizons, Elsevier, vol. 61(3), pages 443-452.
    • Handle: RePEc:eee:bushor:v:61:y:2018:i:3:p:443-452
    DOI: 10.1016/j.bushor.2018.01.009
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    References listed on IDEAS

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    1. Park, YoungWon & Hong, Paul & Roh, James Jungbae, 2013. "Supply chain lessons from the catastrophic natural disaster in Japan," Business Horizons, Elsevier, vol. 56(1), pages 75-85.
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    6. Duncan, W. Jack & Yeager, Valerie A. & Rucks, Andrew C. & Ginter, Peter M., 2011. "Surviving organizational disasters," Business Horizons, Elsevier, vol. 54(2), pages 135-142.
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    Cited by:

    1. Pardis Roozkhosh & Alireza Pooya & Renu Agarwal, 2023. "Blockchain acceptance rate prediction in the resilient supply chain with hybrid system dynamics and machine learning approach," Operations Management Research, Springer, vol. 16(2), pages 705-725, June.
    2. Margherita, Alessandro & Heikkilä, Marikka, 2021. "Business continuity in the COVID-19 emergency: A framework of actions undertaken by world-leading companies," Business Horizons, Elsevier, vol. 64(5), pages 683-695.
    3. Chih-Hung Hsu & Ming-Ge Li & Ting-Yi Zhang & An-Yuan Chang & Shu-Zhen Shangguan & Wan-Ling Liu, 2022. "Deploying Big Data Enablers to Strengthen Supply Chain Resilience to Mitigate Sustainable Risks Based on Integrated HOQ-MCDM Framework," Mathematics, MDPI, vol. 10(8), pages 1-35, April.
    4. Ahmed Mohammed & Irina Harris & Anthony Soroka & Mohamed Naim & Tim Ramjaun & Morteza Yazdani, 2021. "Gresilient supplier assessment and order allocation planning," Annals of Operations Research, Springer, vol. 296(1), pages 335-362, January.
    5. Vikash Sharma & Rakesh D. Raut & Sachin Kumar Mangla & Balkrishna E. Narkhede & Sunil Luthra & Ravindra Gokhale, 2021. "A systematic literature review to integrate lean, agile, resilient, green and sustainable paradigms in the supply chain management," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1191-1212, February.
    6. 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.
    7. Jung-Yu Lai & Juite Wang & Yi-Hsuan Chiu, 2021. "Evaluating blockchain technology for reducing supply chain risks," Information Systems and e-Business Management, Springer, vol. 19(4), pages 1089-1111, December.

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