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Archetypes of Digital Twins

Author

Listed:
  • Hendrik van der Valk

    (TU Dortmund University)

  • Hendrik Haße

    (Fraunhofer Institute for Software and Systems Engineering ISST)

  • Frederik Möller

    (TU Dortmund University
    Fraunhofer Institute for Software and Systems Engineering ISST)

  • Boris Otto

    (TU Dortmund University
    Fraunhofer Institute for Software and Systems Engineering ISST)

Abstract

Currently, Digital Twins receive considerable attention from practitioners and in research. A Digital Twin describes a concept that connects physical and virtual objects through a data linkage. However, Digital Twins are highly dependent on their individual use case, which leads to a plethora of Digital Twin configurations. Based on a thorough literature analysis and two interview series with experts from various electrical and mechanical engineering companies, this paper proposes a set of archetypes of Digital Twins for individual use cases. It delimits the Digital Twins from related concepts, e.g., Digital Threads. The paper delivers profound insights into the domain of Digital Twins and, thus, helps the reader to identify the different archetypical patterns.

Suggested Citation

  • Hendrik van der Valk & Hendrik Haße & Frederik Möller & Boris Otto, 2022. "Archetypes of Digital Twins," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(3), pages 375-391, June.
    • Handle: RePEc:spr:binfse:v:64:y:2022:i:3:d:10.1007_s12599-021-00727-7
    DOI: 10.1007/s12599-021-00727-7
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    References listed on IDEAS

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    1. Fei Tao & Fangyuan Sui & Ang Liu & Qinglin Qi & Meng Zhang & Boyang Song & Zirong Guo & Stephen C.-Y. Lu & A. Y. C. Nee, 2019. "Digital twin-driven product design framework," International Journal of Production Research, Taylor & Francis Journals, vol. 57(12), pages 3935-3953, June.
    2. Saonee Sarker & Suprateek Sarker, 2009. "Exploring Agility in Distributed Information Systems Development Teams: An Interpretive Study in an Offshoring Context," Information Systems Research, INFORMS, vol. 20(3), pages 440-461, September.
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