IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-030-86800-0_23.html
   My bibliography  Save this book chapter

How the Dimensions of Supply Chain are Reflected by Digital Twins: A State-of-the-Art Survey

In: Innovation Through Information Systems

Author

Listed:
  • Falk Freese

    (Kuehne Logistics University)

  • André Ludwig

    (Kuehne Logistics University)

Abstract

Transparency of supply chains is important. A more transparent supply chain would help to react in real-time by detecting and solving many issues e.g. production interruptions and delivery bottlenecks. A supply chain digital twin can help to increase the transparency and create an overall more robust and flexible supply chain. With real-time data streams from sensors, a digital twin allows simulation, monitoring, and controlling and provides information about its real-world counterpart. Based on a literature review approach, we analyze academic and industrial application and use cases to identify the current state-of-the-art of supply chain digital twins. Subsequently we develop a classification scheme for supply chain digital twins. The classification scheme provides six different dimensions like scope, actor, asset, flow reference object, performance measurement, and supply chain process that are relevant for digital twins in the context of supply chain.

Suggested Citation

  • Falk Freese & André Ludwig, 2021. "How the Dimensions of Supply Chain are Reflected by Digital Twins: A State-of-the-Art Survey," Lecture Notes in Information Systems and Organization, in: Frederik Ahlemann & Reinhard Schütte & Stefan Stieglitz (ed.), Innovation Through Information Systems, pages 325-341, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-86800-0_23
    DOI: 10.1007/978-3-030-86800-0_23
    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 search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Ivanov, Dmitry, 2023. "Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability," International Journal of Production Economics, Elsevier, vol. 263(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:lnichp:978-3-030-86800-0_23. 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.