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The Digital Twin as a Service Enabler: From the Service Ecosystem to the Simulation Model

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Exploring Service Science (IESS 2020)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 377))

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Abstract

This paper investigates the concept of the digital twin as an enabler for smart services in the context of the servitization of manufacturing. In particular, a concept is developed and proposed for the derivation of appropriate simulation models starting from the model of the service ecosystem. To do so, smart industrial services are analyzed from the point of view of their value proposition. Next, the role of the digital twin as an enabler for these services is analyzed and structured in a multi-layer architecture. Hybrid simulation approaches are identified as suitable for building simulation models for this architecture. Finally, a procedural end-to-end approach for developing a simulation based digital twin departing from the service ecosystem is proposed.

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Author information

Authors and Affiliations

  1. School of Engineering, ZHAW Zurich University of Applied Sciences, Winterthur, Switzerland

    Jürg Meierhofer

  2. School of Engineering and Architecture, HSLU Lucerne University of Applied Sciences and Arts, Lucerne, Switzerland

    Shaun West

  3. Swiss Alliance for Data-Intensive Services, Expert Group Smart Services, Thun, Switzerland

    Jürg Meierhofer & Shaun West

  4. School of Engineering, University of Florence, Florence, Italy

    Mario Rapaccini & Cosimo Barbieri

Authors
  1. Jürg Meierhofer
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  2. Shaun West
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  3. Mario Rapaccini
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  4. Cosimo Barbieri
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Corresponding author

Correspondence to Jürg Meierhofer .

Editor information

Editors and Affiliations

  1. University of Porto, Porto, Portugal

    Henriqueta Nóvoa

  2. University Politehnica of Bucharest, Bucharest, Romania

    Monica Drăgoicea

  3. Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

    Niklas Kühl

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Meierhofer, J., West, S., Rapaccini, M., Barbieri, C. (2020). The Digital Twin as a Service Enabler: From the Service Ecosystem to the Simulation Model. In: Nóvoa, H., Drăgoicea, M., Kühl, N. (eds) Exploring Service Science. IESS 2020. Lecture Notes in Business Information Processing, vol 377. Springer, Cham. https://doi.org/10.1007/978-3-030-38724-2_25

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  • DOI: https://doi.org/10.1007/978-3-030-38724-2_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38723-5

  • Online ISBN: 978-3-030-38724-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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