| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Enabling decision support services in industrial ecosystems by digital twins |
| Authors: | Meierhofer, Jürg Züst, Simon Lu, Jinzhi Schweiger, Lukas Kiritsis, Dimitris |
| et. al: | No |
| Proceedings: | Proceedings of the Spring Servitization Conference 2021 |
| Editors of the parent work: | Bigdeli, Ali Baines, Tim Rapaccini, Mario Saccani, Marco Adrodegari, Federico |
| Page(s): | 138 |
| Pages to: | 146 |
| Conference details: | Spring Servitization Conference 2021 : A Pathway Towards A Resilient, Productive And Sustainable Future, virtual, 10-12 May 2021 |
| Issue Date: | May-2021 |
| Publisher / Ed. Institution: | Aston University |
| Publisher / Ed. Institution: | Birmingham |
| ISBN: | 978-1-85449-449-3 |
| Language: | English |
| Subjects: | Digital twin; Smart services; Data modelling; Decision support; Service ecosystem |
| Subject (DDC): | 658.5: Production management |
| Abstract: | Purpose: The goal of this paper is to elaborate a new concept for value creation by decision support services in industrial service ecosystems using a digital twin. The aim is to design and integrate an architecture of digital twins that is derived from the actors’ needs and that leverages the potential of the synergies in the ecosystem. Design/Methodology/Approach: The conceptual framework presented in this paper is elaborated based on a multiple case study with ten cases (West et al., 2020). Based on a modelling of the ecosystem and the actors’ decision jobs, technical modelling approaches are developed and integrated to an ecosystem perspective. Findings: In a service ecosystem comprising several enterprises and a multitude of actors, decision making is based on the interlinkage of the digital twins of the equipment and the processes. In order to foster the full potential of the digital twins in an ecosystem, they are integrated in a hierarchical concept using ontology approaches. Originality/Value: The findings of this study integrate the modelling approaches for digital twins and extends these to a new modelling approach on the level of service ecosystems. This provides a practical blueprint to companies for developing digital twin based services in their own operations and beyond in their ecosystem. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/22496 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Data Analysis and Process Design (IDP) |
| Published as part of the ZHAW project: | Digital-Twin-basierte Dienstleistungen zur Unterstützung der Entscheidungsfindung entlang des Produktlebenszyklus von Investitionsgütern |
| Appears in collections: | Publikationen School of Engineering |
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Meierhofer, J., Züst, S., Lu, J., Schweiger, L., & Kiritsis, D. (2021). Enabling decision support services in industrial ecosystems by digital twins [Conference paper]. In A. Bigdeli, T. Baines, M. Rapaccini, M. Saccani, & F. Adrodegari (Eds.), Proceedings of the Spring Servitization Conference 2021 (pp. 138–146). Aston University.
Meierhofer, J. et al. (2021) ‘Enabling decision support services in industrial ecosystems by digital twins’, in A. Bigdeli et al. (eds) Proceedings of the Spring Servitization Conference 2021. Birmingham: Aston University, pp. 138–146.
J. Meierhofer, S. Züst, J. Lu, L. Schweiger, and D. Kiritsis, “Enabling decision support services in industrial ecosystems by digital twins,” in Proceedings of the Spring Servitization Conference 2021, May 2021, pp. 138–146.
MEIERHOFER, Jürg, Simon ZÜST, Jinzhi LU, Lukas SCHWEIGER und Dimitris KIRITSIS, 2021. Enabling decision support services in industrial ecosystems by digital twins. In: Ali BIGDELI, Tim BAINES, Mario RAPACCINI, Marco SACCANI und Federico ADRODEGARI (Hrsg.), Proceedings of the Spring Servitization Conference 2021. Conference paper. Birmingham: Aston University. Mai 2021. S. 138–146. ISBN 978-1-85449-449-3
Meierhofer, Jürg, Simon Züst, Jinzhi Lu, Lukas Schweiger, and Dimitris Kiritsis. 2021. “Enabling Decision Support Services in Industrial Ecosystems by Digital Twins.” Conference paper. In Proceedings of the Spring Servitization Conference 2021, edited by Ali Bigdeli, Tim Baines, Mario Rapaccini, Marco Saccani, and Federico Adrodegari, 138–46. Birmingham: Aston University.
Meierhofer, Jürg, et al. “Enabling Decision Support Services in Industrial Ecosystems by Digital Twins.” Proceedings of the Spring Servitization Conference 2021, edited by Ali Bigdeli et al., Aston University, 2021, pp. 138–46.
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