1. ZHAW digitalcollection
  2. School of Engineering
  3. Publikationen
  4. Publikationen School of Engineering
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dc.contributor.authorMeierhofer, Jürg-
dc.contributor.authorZüst, Simon-
dc.contributor.authorLu, Jinzhi-
dc.contributor.authorSchweiger, Lukas-
dc.contributor.authorKiritsis, Dimitris-
dc.date.accessioned2021-05-20T13:23:50Z-
dc.date.available2021-05-20T13:23:50Z-
dc.date.issued2021-05-
dc.identifier.isbn978-1-85449-449-3de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/22496-
dc.description.abstractPurpose: 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.de_CH
dc.language.isoende_CH
dc.publisherAston Universityde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectDigital twinde_CH
dc.subjectSmart servicesde_CH
dc.subjectData modellingde_CH
dc.subjectDecision supportde_CH
dc.subjectService ecosystemde_CH
dc.subject.ddc658.5: Produktionssteuerungde_CH
dc.titleEnabling decision support services in industrial ecosystems by digital twinsde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
zhaw.publisher.placeBirminghamde_CH
zhaw.conference.detailsSpring Servitization Conference 2021 : A Pathway Towards A Resilient, Productive And Sustainable Future, virtual, 10-12 May 2021de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end146de_CH
zhaw.pages.start138de_CH
zhaw.parentwork.editorBigdeli, Ali-
zhaw.parentwork.editorBaines, Tim-
zhaw.parentwork.editorRapaccini, Mario-
zhaw.parentwork.editorSaccani, Marco-
zhaw.parentwork.editorAdrodegari, Federico-
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the Spring Servitization Conference 2021de_CH
zhaw.webfeedIndustrie 4.0de_CH
zhaw.webfeedService Engineeringde_CH
zhaw.webfeedSimulation and Optimizationde_CH
zhaw.funding.zhawDigital-Twin-basierte Dienstleistungen zur Unterstützung der Entscheidungsfindung entlang des Produktlebenszyklus von Investitionsgüternde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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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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