IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-032-08147-6_3.html

Harnessing the Power of Simulation in Supply Chain Digital Twins

In: Optimizing Supply Chains Through Digital Twins

Author

Listed:
  • Emrah Koksalmis

    (Turkish Air Force Academy, National Defense University, Department of Industrial Engineering)

Abstract

Digital twin (DT) plays a vital role in driving digital transformation across varied sectors, including supply chains, manufacturing, logistics, etc. In supply chain management, DTs offer significant benefits by providing detailed virtual models of supply chain processes. This allows real-time monitoring, predictive analysis, and optimization, leading to enhanced efficiency, cost reduction, and improved service levels. Despite common misconceptions, DTs and simulation models are distinct but complementary, working together to provide comprehensive insights into system behavior and performance. This chapter explores key studies on the application of simulation and DT in supply chain management, clarifying concepts, examining implementation, and reviewing exemplary applications. The conclusion highlights key challenges and future directions for DT and simulation models in supply chain management.

Suggested Citation

  • Emrah Koksalmis, 2025. "Harnessing the Power of Simulation in Supply Chain Digital Twins," International Series in Operations Research & Management Science, in: Ghaith Rabadi & Bulent Soykan (ed.), Optimizing Supply Chains Through Digital Twins, chapter 0, pages 23-41, Springer.
  • Handle: RePEc:spr:isochp:978-3-032-08147-6_3
    DOI: 10.1007/978-3-032-08147-6_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:isochp:978-3-032-08147-6_3. 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: 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.