IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v5y2021i4p78-d672021.html
   My bibliography  Save this article

Supply Chain Resilience Roadmaps for Major Disruptions

Author

Listed:
  • Jessica Olivares-Aguila

    (Financial and Information Management Department, Shannon School of Business, Cape Breton University, Sydney, NS B1P 6L2, Canada)

  • Alejandro Vital-Soto

    (Financial and Information Management Department, Shannon School of Business, Cape Breton University, Sydney, NS B1P 6L2, Canada)

Abstract

Background: Unexpected events or major supply chain disruptions have demonstrated the vulnerability in which supply chains operate. While supply chains are usually prepared for operational disruptions, unexpected or black swan events are widely disregarded, as there is no reliable way to forecast them. However, this kind of event could rapidly and seriously deteriorate supply chain performance, and ignoring that possibility could lead to devastating consequences. Methods: In this paper, definitions of major disruptions and the methods to cope with them are studied. Additionally, a methodology to develop supply chain resilience roadmaps is conceptualised by analysing existing literature to help plan for unexpected events. Results: The methodology is introduced to create roadmaps comprises several stages, including supply chain exploration, scenario planning, system analysis, definition of strategies, and signal monitoring. Each roadmap contains the description of a plausible future in terms of supply chain disruptions and the strategies to implement to help mitigate negative impacts. Conclusions: The creation of roadmaps calls for an anticipatory mindset from all members along the supply chain. The roadmaps development establishes the foundations for a holistic supply chain disruption preparation and analysis.

Suggested Citation

  • Jessica Olivares-Aguila & Alejandro Vital-Soto, 2021. "Supply Chain Resilience Roadmaps for Major Disruptions," Logistics, MDPI, vol. 5(4), pages 1-18, November.
    • Handle: RePEc:gam:jlogis:v:5:y:2021:i:4:p:78-:d:672021
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/5/4/78/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/5/4/78/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dmitry Ivanov, 2021. "Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies," International Journal of Production Research, Taylor & Francis Journals, vol. 59(12), pages 3535-3552, June.
    2. Ivanov, Dmitry & Dolgui, Alexandre, 2021. "OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications," International Journal of Production Economics, Elsevier, vol. 232(C).
    3. Quan Zhu & Harold Krikke & Marjolein C. J. Caniëls, 2021. "The Effects of Different Supply Chain Integration Strategies on Disruption Recovery: A System Dynamics Study on the Cheese Industry," Logistics, MDPI, vol. 5(2), pages 1-18, April.
    4. Wilson, Martha C., 2007. "The impact of transportation disruptions on supply chain performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(4), pages 295-320, July.
    5. Didier SORNETTE, 2009. "Dragon-Kings, Black Swans and the Prediction of Crises," Swiss Finance Institute Research Paper Series 09-36, Swiss Finance Institute.
    6. William Ho & Tian Zheng & Hakan Yildiz & Srinivas Talluri, 2015. "Supply chain risk management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 5031-5069, August.
    7. Schmitt, Thomas G. & Kumar, Sanjay & Stecke, Kathryn E. & Glover, Fred W. & Ehlen, Mark A., 2017. "Mitigating disruptions in a multi-echelon supply chain using adaptive ordering," Omega, Elsevier, vol. 68(C), pages 185-198.
    8. Dmitry Ivanov & Alexandre Dolgui & Ajay Das & Boris Sokolov, 2019. "Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility," International Series in Operations Research & Management Science, in: Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov (ed.), Handbook of Ripple Effects in the Supply Chain, pages 309-332, Springer.
    9. Oleg Gusikhin & Erica Klampfl, 2012. "JEDI: Just-in-Time Execution and Distribution Information Support System for Automotive Stamping Operations," Springer Books, in: Dieter Armbruster & Karl G. Kempf (ed.), Decision Policies for Production Networks, edition 127, pages 119-142, Springer.
    10. Klibi, Walid & Martel, Alain, 2012. "Scenario-based Supply Chain Network risk modeling," European Journal of Operational Research, Elsevier, vol. 223(3), pages 644-658.
    11. Maureen S. Golan & Laura H. Jernegan & Igor Linkov, 2020. "Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic," Environment Systems and Decisions, Springer, vol. 40(2), pages 222-243, June.
    12. Aven, Terje, 2015. "Implications of black swans to the foundations and practice of risk assessment and management," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 83-91.
    13. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov & Marina Ivanova, 2017. "Literature review on disruption recovery in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 55(20), pages 6158-6174, October.
    14. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    15. Bradley, James R., 2014. "An improved method for managing catastrophic supply chain disruptions," Business Horizons, Elsevier, vol. 57(4), pages 483-495.
    16. Song Xu & Xiaotong Zhang & Lipan Feng & Wenting Yang, 2020. "Disruption risks in supply chain management: a literature review based on bibliometric analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3508-3526, June.
    17. David Simchi-Levi & William Schmidt & Yehua Wei & Peter Yun Zhang & Keith Combs & Yao Ge & Oleg Gusikhin & Michael Sanders & Don Zhang, 2015. "Identifying Risks and Mitigating Disruptions in the Automotive Supply Chain," Interfaces, INFORMS, vol. 45(5), pages 375-390, October.
    18. Schoemaker, Paul J.H. & Day, George S. & Snyder, Scott A., 2013. "Integrating organizational networks, weak signals, strategic radars and scenario planning," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 815-824.
    19. Henk Akkermans & Luk N. Van Wassenhove, 2018. "Supply Chain Tsunamis: Research on Low†Probability, High†Impact Disruptions," Journal of Supply Chain Management, Institute for Supply Management, vol. 54(1), pages 64-76, January.
    20. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2020. "Reconfigurable supply chain: the X-network," International Journal of Production Research, Taylor & Francis Journals, vol. 58(13), pages 4138-4163, July.
    21. Tobias Bier & Anne Lange & Christoph H. Glock, 2020. "Methods for mitigating disruptions in complex supply chain structures: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(6), pages 1835-1856, March.
    22. Bunn, Derek W. & Salo, Ahti A., 1993. "Forecasting with scenarios," European Journal of Operational Research, Elsevier, vol. 68(3), pages 291-303, August.
    23. Shital A. Thekdi & Joost R. Santos, 2016. "Supply Chain Vulnerability Analysis Using Scenario‐Based Input‐Output Modeling: Application to Port Operations," Risk Analysis, John Wiley & Sons, vol. 36(5), pages 1025-1039, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nishant Saravanan & Jessica Olivares-Aguila & Alejandro Vital-Soto, 2022. "Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains," Sustainability, MDPI, vol. 14(23), pages 1-33, November.
    2. Mohammed Awad Alshahrani & Mohammad Asif Salam, 2022. "The Role of Supply Chain Resilience on SMEs’ Performance: The Case of an Emerging Economy," Logistics, MDPI, vol. 6(3), pages 1-20, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry & Zennaro, Ilenia, 2021. "Costs of resilience and disruptions in supply chain network design models: A review and future research directions," International Journal of Production Economics, Elsevier, vol. 235(C).
    2. Burgos, Diana & Ivanov, Dmitry, 2021. "Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    3. Chowdhury, Priyabrata & Paul, Sanjoy Kumar & Kaisar, Shahriar & Moktadir, Md. Abdul, 2021. "COVID-19 pandemic related supply chain studies: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    4. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    5. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
    6. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    7. Lydia Novoszel & Tina Wakolbinger, 2022. "Meta-analysis of Supply Chain Disruption Research," SN Operations Research Forum, Springer, vol. 3(1), pages 1-25, March.
    8. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    9. Chen, Li-Ming & Chang, Wei-Lun, 2021. "Supply- and cyber-related disruptions in cloud supply chain firms: Determining the best recovery speeds," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    10. Gast, Johannes & Kirkach, Evelina & Ivanov, Dmitry, 2022. "Structured literature review of transport networks and Supply Chain Resilience," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 469-496, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    11. Ivanov, Dmitry, 2023. "Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability," International Journal of Production Economics, Elsevier, vol. 263(C).
    12. Vimal K.E.K & Simon Peter Nadeem & Mahadharsan Ravichandran & Manavalan Ethirajan & Jayakrishna Kandasamy, 2022. "Resilience strategies to recover from the cascading ripple effect in a copper supply chain through project management," Operations Management Research, Springer, vol. 15(1), pages 440-460, June.
    13. Mohammadi, Mehrdad & Dehghan, Milad & Pirayesh, Amir & Dolgui, Alexandre, 2022. "Bi‐objective optimization of a stochastic resilient vaccine distribution network in the context of the COVID‐19 pandemic," Omega, Elsevier, vol. 113(C).
    14. Guoqing Zhao & Shaofeng Liu & Carmen Lopez & Yi Wang & Haiyan Lu & Jinhua Zhang, 2024. "Identification, establishment of connection, and clustering of social risks involved in the agri-food supply chains: a cross-country comparative study," Annals of Operations Research, Springer, vol. 338(2), pages 1241-1282, July.
    15. Dmitry Ivanov & Boris Sokolov, 2019. "Simultaneous structural–operational control of supply chain dynamics and resilience," Annals of Operations Research, Springer, vol. 283(1), pages 1191-1210, December.
    16. Weili Yin & Wenxue Ran, 2021. "Theoretical Exploration of Supply Chain Viability Utilizing Blockchain Technology," Sustainability, MDPI, vol. 13(15), pages 1-25, July.
    17. Aarti Singh & Ratri Parida, 2022. "Decision-Making Models for Healthcare Supply Chain Disruptions: Review and Insights for Post-pandemic Era," International Journal of Global Business and Competitiveness, Springer, vol. 17(2), pages 130-141, December.
    18. Jingfu Huang & Gaoke Wu & Yiju Wang, 2021. "Retailer’s Emergency Ordering Policy When Facing an Impending Supply Disruption," Sustainability, MDPI, vol. 13(13), pages 1-21, June.
    19. Yingjie Fan & Frank Schwartz & Stefan Voß & David L. Woodruff, 2017. "Stochastic programming for flexible global supply chain planning," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 601-633, December.
    20. Ali, Syed Mithun & Rahman, Md. Hafizur & Tumpa, Tasmia Jannat & Moghul Rifat, Abid Ali & Paul, Sanjoy Kumar, 2018. "Examining price and service competition among retailers in a supply chain under potential demand disruption," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 40-47.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlogis:v:5:y:2021:i:4:p:78-:d:672021. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.