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dc.contributor.authorSchweiger, Lukas-
dc.contributor.authorMeierhofer, Jürg-
dc.contributor.authorBarbieri, Cosimo-
dc.contributor.authorRapaccini, Mario-
dc.date.accessioned2022-05-19T11:36:18Z-
dc.date.available2022-05-19T11:36:18Z-
dc.date.issued2022-04-27-
dc.identifier.isbn978-3-030-97041-3de_CH
dc.identifier.isbn978-3-030-97042-0de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/25000-
dc.description.abstractAn end-to-end approach for near-real-time decision support services constructed of different elements from the fields of digital twins, decision support systems, data analytics, symbiotic simulations, and product-service systems is proposed based on a literature review. Parts of the concept have been validated based on two practical cases in an earlier research project. The model presented combines elements of those existing approaches from the literature into a single end-to-end model. The resulting end-to-end model will be tested in an industrial context to support service decision-makers.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofseriesProgress in ISde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectProduct service systemde_CH
dc.subjectDigital twinde_CH
dc.subjectSymbiotic simulationde_CH
dc.subjectNear-real-time decision makingde_CH
dc.subject.ddc658.403: Entscheidungsfindung, Informationsmanagementde_CH
dc.titleEnd-to-end digital twin approach for near-real-time decision support servicesde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
zhaw.publisher.placeChamde_CH
dc.identifier.doi10.1007/978-3-030-97042-0_7de_CH
zhaw.conference.detailsFourth Smart Services Summit, Zurich, 22 October 2021de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end75de_CH
zhaw.pages.start67de_CH
zhaw.parentwork.editorWest, Shaun-
zhaw.parentwork.editorMeierhofer, Jürg-
zhaw.parentwork.editorMangla, Utpal-
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsSmart services summit : smart services supporting the new normalde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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Schweiger, L., Meierhofer, J., Barbieri, C., & Rapaccini, M. (2022). End-to-end digital twin approach for near-real-time decision support services [Conference paper]. In S. West, J. Meierhofer, & U. Mangla (Eds.), Smart services summit : smart services supporting the new normal (pp. 67–75). Springer. https://doi.org/10.1007/978-3-030-97042-0_7
Schweiger, L. et al. (2022) ‘End-to-end digital twin approach for near-real-time decision support services’, in S. West, J. Meierhofer, and U. Mangla (eds) Smart services summit : smart services supporting the new normal. Cham: Springer, pp. 67–75. Available at: https://doi.org/10.1007/978-3-030-97042-0_7.
L. Schweiger, J. Meierhofer, C. Barbieri, and M. Rapaccini, “End-to-end digital twin approach for near-real-time decision support services,” in Smart services summit : smart services supporting the new normal, Apr. 2022, pp. 67–75. doi: 10.1007/978-3-030-97042-0_7.
SCHWEIGER, Lukas, Jürg MEIERHOFER, Cosimo BARBIERI und Mario RAPACCINI, 2022. End-to-end digital twin approach for near-real-time decision support services. In: Shaun WEST, Jürg MEIERHOFER und Utpal MANGLA (Hrsg.), Smart services summit : smart services supporting the new normal. Conference paper. Cham: Springer. 27 April 2022. S. 67–75. ISBN 978-3-030-97041-3
Schweiger, Lukas, Jürg Meierhofer, Cosimo Barbieri, and Mario Rapaccini. 2022. “End-to-End Digital Twin Approach for Near-Real-Time Decision Support Services.” Conference paper. In Smart Services Summit : Smart Services Supporting the New Normal, edited by Shaun West, Jürg Meierhofer, and Utpal Mangla, 67–75. Cham: Springer. https://doi.org/10.1007/978-3-030-97042-0_7.
Schweiger, Lukas, et al. “End-to-End Digital Twin Approach for Near-Real-Time Decision Support Services.” Smart Services Summit : Smart Services Supporting the New Normal, edited by Shaun West et al., Springer, 2022, pp. 67–75, https://doi.org/10.1007/978-3-030-97042-0_7.


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