IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v36y2025i5d10.1007_s10845-023-02181-6.html
   My bibliography  Save this article

Modeling supply chain resilience drivers in the context of COVID-19 in manufacturing industries: leveraging the advantages of approximate fuzzy DEMATEL

Author

Listed:
  • Md. Rayhan Sarker

    (Bangladesh University of Engineering and Technology
    University of Dhaka)

  • Md. Sazid Rahman

    (University of Arkansas)

  • Syed Mithun Ali

    (Bangladesh University of Engineering and Technology)

  • Niamat Ullah Ibne Hossain

    (Arkansas State University)

  • Ernesto D. R. Santibanez Gonzalez

    (University of Talca)

Abstract

The COVID-19 pandemic has emerged as a global threat that is making industrial managers rethink their supply chain (SC) structures in an uncertain business environment. Because of the COVID-19 pandemic, global SCs have been severely disrupted, triggering the need for a supply chain resilience (SCR) model. Based on the literature and expert input, 15 SCR drivers for the manufacturing industry were identified in three categories, namely, absorptive, adaptive, and restorative capacity. The approximate fuzzy Decision Making Trial and Evaluation Laboratory (AFDEMATEL) method was used to categorize these 15 SCR drivers into cause-and-effect groups and produce a priority list of the SCR drivers. System robustness, geographically dispersed multiple suppliers, and risk management culture are the top three critical SCR drivers, respectively, in the cause group, and all three are associated with the absorptive capacity of the manufacturing industry. Agile supply chain, contingency planning, and restoration of resources are the least important drivers, respectively, in the effect group. In an uncertain environment, the critical SCR drivers are system robustness and risk management culture. The study results will help supply chain managers formulate strategic policies to achieve supply chain resilience in an uncertain business environment.

Suggested Citation

  • Md. Rayhan Sarker & Md. Sazid Rahman & Syed Mithun Ali & Niamat Ullah Ibne Hossain & Ernesto D. R. Santibanez Gonzalez, 2025. "Modeling supply chain resilience drivers in the context of COVID-19 in manufacturing industries: leveraging the advantages of approximate fuzzy DEMATEL," Journal of Intelligent Manufacturing, Springer, vol. 36(5), pages 2939-2958, June.
    • Handle: RePEc:spr:joinma:v:36:y:2025:i:5:d:10.1007_s10845-023-02181-6
    DOI: 10.1007/s10845-023-02181-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-023-02181-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10845-023-02181-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Slim Zidi & Nadia Hamani & Lyes Kermad, 2021. "New metrics for measuring supply chain reconfigurability," Post-Print hal-03318131, HAL.
    2. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    3. Fynnwin Prager & Dan Wei & Adam Rose, 2017. "Total Economic Consequences of an Influenza Outbreak in the United States," Risk Analysis, John Wiley & Sons, vol. 37(1), pages 4-19, January.
    4. Sameer Kumar & Charu Chandra, 2010. "Supply Chain Disruption by Avian flu Pandemic for U.S. Companies: A Case Study," Transportation Journal, John Wiley & Sons, vol. 49(4), pages 61-73, September.
    5. Md. Rayhan Sarker & Md. Abdul Moktadir & Ernesto D. R. Santibanez-Gonzalez, 2021. "Social Sustainability Challenges Towards Flexible Supply Chain Management: Post-COVID-19 Perspective," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 199-218, December.
    6. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
    7. López, Cristina & Ishizaka, Alessio, 2019. "A hybrid FCM-AHP approach to predict impacts of offshore outsourcing location decisions on supply chain resilience," Journal of Business Research, Elsevier, vol. 103(C), pages 495-507.
    Full references (including those not matched with items on IDEAS)

    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. Fakhrul Hasan & Mary Fiona Ross Bellenstedt & Mohammad Raijul Islam, 2023. "Demand and Supply Disruptions During the Covid-19 Crisis on Firm Productivity," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 87-105, March.
    2. Reza Kiani Mavi & Neda Kiani Mavi & Seyed Ashkan Hosseini Shekarabi & Matthew Pepper’s & Sean Arisian, 2023. "Supply Chain Resilience: A Common Weights Efficiency Analysis with Non-discretionary and Non-controllable Inputs," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 77-99, December.
    3. Emilia Vann Yaroson & Soumyadeb Chowdhury & Sachin Kumar Mangla & Prasanta Kumar Dey, 2024. "Unearthing the interplay between organisational resources, knowledge and industry 4.0 analytical decision support tools to achieve sustainability and supply chain wellbeing," Annals of Operations Research, Springer, vol. 342(2), pages 1321-1368, November.
    4. Papanagnou, Christos & Seiler, Andreas & Spanaki, Konstantina & Papadopoulos, Thanos & Bourlakis, Michael, 2022. "Data-driven digital transformation for emergency situations: The case of the UK retail sector," International Journal of Production Economics, Elsevier, vol. 250(C).
    5. 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).
    6. Ekinci, Esra & Mangla, Sachin Kumar & Kazancoglu, Yigit & Sarma, P.R.S. & Sezer, Muruvvet Deniz & Ozbiltekin-Pala, Melisa, 2022. "Resilience and complexity measurement for energy efficient global supply chains in disruptive events," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    7. 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).
    8. Francesca Faggioni & Marco Valerio Rossi & Andrea Sestino, 2024. "Conceptualizing Supply Chain Resilience in Exogenous Crisis Times: Toward a Holistic Definition," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 17308-17332, December.
    9. Salomée Ruel & Jamal El Baz & Dmitry Ivanov & Ajay Das, 2024. "Supply chain viability: conceptualization, measurement, and nomological validation," Annals of Operations Research, Springer, vol. 335(3), pages 1107-1136, April.
    10. El Baz, Jamal & Ruel, Salomée & Jebli, Fedwa, 2023. "Harnessing supply chain resilience and social performance through safety and health practices in the COVID-19 era: An investigation of normative pressures and adoption timing's role," International Journal of Production Economics, Elsevier, vol. 264(C).
    11. Bandyopadhyay, Arnab & Bhatnagar, Sameer, 2023. "Impact of COVID-19 on ports, multimodal logistics and transport sector in India: Responses and policy imperatives," Transport Policy, Elsevier, vol. 130(C), pages 15-25.
    12. Mosayebi, Mohsen & Fathi, Michel & Hedayati, Mehrnaz Khalaj & Ivanov, Dmitry, 2024. "Time-to-Adapt (TTA)," International Journal of Production Economics, Elsevier, vol. 278(C).
    13. 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.
    14. Md. Abdul Moktadir & Sanjoy Kumar Paul & Anil Kumar & Sunil Luthra & Syed Mithun Ali & Razia Sultana, 2023. "Strategic drivers to overcome the impacts of the COVID-19 pandemic: implications for ensuring resilience in supply chains," Operations Management Research, Springer, vol. 16(1), pages 466-488, March.
    15. Alvarenga, Murilo Zamboni & Oliveira, Marcos Paulo Valadares de & Oliveira, Tiago, 2023. "Let’s talk about bad experiences instead of forgetting them: An empirical study on the importance of memory for supply chain disruption management," International Journal of Production Economics, Elsevier, vol. 261(C).
    16. Tuhin Sengupta & Gopalakrishnan Narayanamurthy & Roger Moser & Vijay Pereira & Devleena Bhattacharjee, 2022. "Disruptive Technologies for Achieving Supply Chain Resilience in COVID-19 Era: An Implementation Case Study of Satellite Imagery and Blockchain Technologies in Fish Supply Chain," Information Systems Frontiers, Springer, vol. 24(4), pages 1107-1123, August.
    17. Efthymios Katsoras & Patroklos Georgiadis, 2022. "A Dynamic Analysis for Mitigating Disaster Effects in Closed Loop Supply Chains," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    18. Debashree Das & Avik Datta & Patanjal Kumar & Yigit Kazancoglu & Mangey Ram, 2022. "Building supply chain resilience in the era of COVID-19: An AHP-DEMATEL approach," Operations Management Research, Springer, vol. 15(1), pages 249-267, June.
    19. S. M. Misbauddin & Mohammad Jahangir Alam & Chitra Lekha Karmaker & Md. Noor Un Nabi & Md. Mahedi Hasan, 2023. "Exploring the Antecedents of Supply Chain Viability in a Pandemic Context: An Empirical Study on the Commercial Flower Supply Chain of an Emerging Economy," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
    20. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).

    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:spr:joinma:v:36:y:2025:i:5:d:10.1007_s10845-023-02181-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.