IDEAS home Printed from https://ideas.repec.org/a/ids/ijisma/v15y2022i4p454-465.html
   My bibliography  Save this article

Probability, adaptability and time: some research-practice paradoxes in supply chain resilience and viability modelling

Author

Listed:
  • Dmitry Ivanov

Abstract

Modelling of resilience and viability became crucial and visible research avenues for decision-making support in case of supply chain disruptions. This article discusses some research-practice paradoxes stemming from typical problem settings and assumptions in supply chain resilience and viability modelling. We show that the categories of probability, adaptability, and time are major determinants of resilience and viability modelling in supply chains. As an example, we discuss how probability-based supply chain design models can be enhanced through inclusion of adaptability and connectivity characteristics of the network elements with consideration of time. We deduce some open questions the elaboration on which can provide novel and substantial contributions in future. In particular, we stress the importance of furthering our understanding of reliable suppliers, disruption probabilities, disruption time and ripple effect estimation, value-creation perspective of resilience, and viability of intertwined supply networks.

Suggested Citation

  • Dmitry Ivanov, 2022. "Probability, adaptability and time: some research-practice paradoxes in supply chain resilience and viability modelling," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 15(4), pages 454-465.
    • Handle: RePEc:ids:ijisma:v:15:y:2022:i:4:p:454-465
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=125995
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry, 2023. "Efficient resilience portfolio design in the supply chain with consideration of preparedness and recovery investments," Omega, Elsevier, vol. 117(C).
    2. Babai, M. Zied & Ivanov, Dmitry & Kwon, Oh Kang, 2023. "Optimal ordering quantity under stochastic time-dependent price and demand with a supply disruption: A solution based on the change of measure technique," Omega, Elsevier, vol. 116(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:ids:ijisma:v:15:y:2022:i:4:p:454-465. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=81 .

    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.