IDEAS home Printed from https://ideas.repec.org/a/spr/snopef/v5y2024i2d10.1007_s43069-024-00303-1.html
   My bibliography  Save this article

Maximizing Supply Chain Resilience: Viability of a Distributed Manufacturing Network Platform Using the Open Knowledge Resilience Framework

Author

Listed:
  • Alice Villar

    (University of Essex)

  • Sarah Abowitz

    (Tufts University)

  • Robert Read

    (Public Invention)

  • James Butler

    (Tufts University)

Abstract

This paper introduces the Open Knowledge Resilience Framework (OKRF), a set of seven cooperative data standards, and demonstrates its alignment with the Supply Chain Interoperability Specification (SCIS) Platform. Building upon the Internet of Production Alliance (IoPA) work, this article explores how integrating OKRF and SCIS can enhance production flexibility and efficiency through substitutability and resource repurposing strategies. The OKRF-SCIS integration exhibits the potential to enhance Supply Chain Resilience (SCR) by empowering organizations to adapt to fluctuating demand and availability through adaptability strategies such as supplier/product substitution and resource repurposing. While this study primarily focuses on the conceptual design of OKRF and SCIS, further empirical research is needed to validate its effectiveness. Additionally, investigating the framework’s applicability across various industries and contexts would provide valuable insights. The integration of OKRF and SCIS can enable organizations to optimize supply chain operations, enhancing resilience and facilitating adaptation to changing demands through seamless substitutability and resource repurposing. This integration can also reduce transportation costs and increase responsiveness to local demand. Furthermore, it can enhance SCR and promote sustainable, resilient supply chain ecosystems by improving data transparency and resource utilization efficiency. This paper illustrates the potential of OKRF and SCIS in healthcare supply chains.

Suggested Citation

  • Alice Villar & Sarah Abowitz & Robert Read & James Butler, 2024. "Maximizing Supply Chain Resilience: Viability of a Distributed Manufacturing Network Platform Using the Open Knowledge Resilience Framework," SN Operations Research Forum, Springer, vol. 5(2), pages 1-41, June.
    • Handle: RePEc:spr:snopef:v:5:y:2024:i:2:d:10.1007_s43069-024-00303-1
    DOI: 10.1007/s43069-024-00303-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s43069-024-00303-1
    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/s43069-024-00303-1?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. 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.
    2. BLOME, Constantin & SCHOENHERR, Tobias & ECKSTEIN, Dominik, 2014. "The impact of knowledge transfer and complexity on supply chain flexibility: a knowledge-based view," LIDAM Reprints CORE 2603, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. 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.
    4. Vipul Jain & Sameer Kumar & Umang Soni & Charu Chandra, 2017. "Supply chain resilience: model development and empirical analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 55(22), pages 6779-6800, November.
    5. 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.
    6. O Balci & J D Arthur & W F Ormsby, 2011. "Achieving reusability and composability with a simulation conceptual model," Journal of Simulation, Taylor & Francis Journals, vol. 5(3), pages 157-165, August.
    7. Tim Kraft & León Valdés & Yanchong Zheng, 2018. "Supply Chain Visibility and Social Responsibility: Investigating Consumers’ Behaviors and Motives," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 617-636, October.
    8. Emma Brandon-Jones & Brian Squire & Chad W. Autry & Kenneth J. Petersen, 2014. "A Contingent Resource-Based Perspective of Supply Chain Resilience and Robustness," Journal of Supply Chain Management, Institute for Supply Management, vol. 50(3), pages 55-73, July.
    9. Chunguang Bai & Joseph Sarkis, 2020. "A supply chain transparency and sustainability technology appraisal model for blockchain technology," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2142-2162, April.
    10. Rameshwar Dubey & Angappa Gunasekaran & Stephen J. Childe & Samuel Fosso Wamba & David Roubaud & Cyril Foropon, 2021. "Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 59(1), pages 110-128, January.
    11. Kannan Govindan & Mia Hasanagic, 2018. "A systematic review on drivers, barriers, and practices towards circular economy: a supply chain perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 278-311, January.
    12. Alexandre Dolgui & Dmitry Ivanov, 2022. "5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything," International Journal of Production Research, Taylor & Francis Journals, vol. 60(2), pages 442-451, January.
    13. Montecchi, Matteo & Plangger, Kirk & West, Douglas C., 2021. "Supply chain transparency: A bibliometric review and research agenda," International Journal of Production Economics, Elsevier, vol. 238(C).
    14. Anne W Snowdon, 2022. "Advancing Supply Chain Resilience for Canadian Health Systems," SPP Research Papers, The School of Public Policy, University of Calgary, vol. 15(1), January.
    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. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    2. Weili Yin & Wenxue Ran, 2023. "Explaining Firm Performance During the COVID-19 With fsQCA: The Role of Supply Network Complexity, Inventory Turns, and Geographic Dispersion," SAGE Open, , vol. 13(2), pages 21582440231, June.
    3. Chervenkova, Tanya & Ivanov, Dmitry, 2023. "Adaptation strategies for building supply chain viability: A case study analysis of the global automotive industry re-purposing during the COVID-19 pandemic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    4. Jianlan Zhong & Han Cheng & Fu Jia, 2024. "Supply chain resilience capability factors in agri-food supply chains," Operations Management Research, Springer, vol. 17(3), pages 850-868, September.
    5. Li, Guo & Xue, Jing & Li, Na & Ivanov, Dmitry, 2022. "Blockchain-supported business model design, supply chain resilience, and firm performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    6. 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).
    7. 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).
    8. Khadija Echefaj & Abdelkabir Charkaoui & Anass Cherrafi & Dmitry Ivanov, 2024. "Design of resilient and viable sourcing strategies in intertwined circular supply networks," Annals of Operations Research, Springer, vol. 337(1), pages 459-498, June.
    9. Dubey, Rameshwar & Bryde, David J. & Dwivedi, Yogesh K. & Graham, Gary & Foropon, Cyril & Papadopoulos, Thanos, 2023. "Dynamic digital capabilities and supply chain resilience: The role of government effectiveness," International Journal of Production Economics, Elsevier, vol. 258(C).
    10. Nikookar, Ethan & Gligor, David & Russo, Ivan, 2024. "Supply chain resilience: When the recipe is more important than the ingredients for managing supply chain disruptions," International Journal of Production Economics, Elsevier, vol. 272(C).
    11. Shaohua He & Lei Liu & Qi Liu & Shaoling Fu, 2024. "Creating social value through operational supply chain transparency," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(3), pages 2333-2351, May.
    12. Betto, Frida & Garengo, Patrizia, 2023. "A circular pathway for developing resilience in healthcare during pandemics," International Journal of Production Economics, Elsevier, vol. 266(C).
    13. Ivanov, Dmitry, 2023. "Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability," International Journal of Production Economics, Elsevier, vol. 263(C).
    14. Taiwen Feng & Zhihui Si & Wenbo Jiang & Jianyu Tan, 2024. "Supply chain transformational leadership and resilience: the mediating role of ambidextrous business model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    15. 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).
    16. Qiansong Zhang & Yingying Zhang & Taiwen Feng, 2024. "Impacts of paradox cognition and organizational unlearning on supply chain resilience: a perspective of paradox theory," Operations Management Research, Springer, vol. 17(3), pages 1022-1038, September.
    17. Mohammad Ali Yamin, 2021. "Investigating the Drivers of Supply Chain Resilience in the Wake of the COVID-19 Pandemic: Empirical Evidence from an Emerging Economy," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    18. 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).
    19. Clavijo-Buritica, Nicolás & Triana-Sanchez, Laura & Escobar, John Willmer, 2023. "A hybrid modeling approach for resilient agri-supply network design in emerging countries: Colombian coffee supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    20. Taehyun Ko & Jaeram Lee & Daehyeon Park & Doojin Ryu, 2023. "Supply chain transparency as a signal of ethical production," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1565-1573, April.

    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:snopef:v:5:y:2024:i:2:d:10.1007_s43069-024-00303-1. 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.