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Towards Digital Twins of Multimodal Supply Chains

Author

Listed:
  • Anselm Busse

    (Competence Center for Logistic & IT-Systems (LogIT), Technische Universität Berlin, 10623 Berlin, Germany)

  • Benno Gerlach

    (Competence Center for Logistic & IT-Systems (LogIT), Technische Universität Berlin, 10623 Berlin, Germany)

  • Joel Cedric Lengeling

    (Competence Center for Logistic & IT-Systems (LogIT), Technische Universität Berlin, 10623 Berlin, Germany)

  • Peter Poschmann

    (Competence Center for Logistic & IT-Systems (LogIT), Technische Universität Berlin, 10623 Berlin, Germany)

  • Johannes Werner

    (Competence Center for Logistic & IT-Systems (LogIT), Technische Universität Berlin, 10623 Berlin, Germany)

  • Simon Zarnitz

    (Competence Center for Logistic & IT-Systems (LogIT), Technische Universität Berlin, 10623 Berlin, Germany)

Abstract

Both modern multi- and intermodal supply chains pose a significant challenge to control and maintain while offering numerous optimization potential. Digital Twins have been proposed to improve supply chains. However, as of today, they are only used for certain parts of the entire supply chain. This paper presents an initial framework for a holistic Digital Supply Chain Twin (DSCT) capable of including an entire multimodal supply chain. Such a DSCT promises to enable several improvements all across the supply chain while also be capable of simulating and evaluate several different scenarios for the supply chain. Therefore, the DSCT will not only be able to optimize multi- and intermodal supply chains but also makes them potentially more robust by identifying possible issues early on. This paper discusses the major requirements that such a DSCT must fulfil to be useful and how several information technologies that matured in recent years or are about the mature are the key enablers to fulfil these requirements. Finally, a suggested high-level architecture for such a DSCT is presented as a first step towards the realization of a DSCT, as presented in this work

Suggested Citation

  • Anselm Busse & Benno Gerlach & Joel Cedric Lengeling & Peter Poschmann & Johannes Werner & Simon Zarnitz, 2021. "Towards Digital Twins of Multimodal Supply Chains," Logistics, MDPI, vol. 5(2), pages 1-12, April.
    • Handle: RePEc:gam:jlogis:v:5:y:2021:i:2:p:25-:d:543395
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    References listed on IDEAS

    as
    1. Straube, F. & Pfohl, Hans-Christian, 2008. "Trends und Strategien in der Logistik - Globale Netzwerke im Wandel. Umwelt, Sicherheit, Internationalisierung, Menschen," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 36182, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Pfohl, Hans-Christian, 2018. "Logistiksysteme : Betriebswirtschaftliche Grundlagen," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 106054, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

    1. Tsega Y. Melesse & Chiara Franciosi & Valentina Di Pasquale & Stefano Riemma, 2023. "Analyzing the Implementation of Digital Twins in the Agri-Food Supply Chain," Logistics, MDPI, vol. 7(2), pages 1-17, June.
    2. Lim, Kendrik Yan Hong & Dang, Le Van & Chen, Chun-Hsien, 2024. "Incorporating supply and production digital twins to mitigate demand disruptions in multi-echelon networks," International Journal of Production Economics, Elsevier, vol. 273(C).
    3. Julian Neugebauer & Leonard Heilig & Stefan Voß, 2024. "Digital Twins in the Context of Seaports and Terminal Facilities," Flexible Services and Manufacturing Journal, Springer, vol. 36(3), pages 821-917, September.
    4. Benjamin Nitsche, 2021. "Exploring the Potentials of Automation in Logistics and Supply Chain Management: Paving the Way for Autonomous Supply Chains," Logistics, MDPI, vol. 5(3), pages 1-9, August.

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