| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | End-to-end digital twin approach for near-real-time decision support services |
| Authors: | Schweiger, Lukas Meierhofer, Jürg Barbieri, Cosimo Rapaccini, Mario |
| et. al: | No |
| DOI: | 10.1007/978-3-030-97042-0_7 |
| Proceedings: | Smart services summit : smart services supporting the new normal |
| Editors of the parent work: | West, Shaun Meierhofer, Jürg Mangla, Utpal |
| Page(s): | 67 |
| Pages to: | 75 |
| Conference details: | Fourth Smart Services Summit, Zurich, 22 October 2021 |
| Issue Date: | 27-Apr-2022 |
| Series: | Progress in IS |
| Publisher / Ed. Institution: | Springer |
| Publisher / Ed. Institution: | Cham |
| ISBN: | 978-3-030-97041-3 978-3-030-97042-0 |
| Language: | English |
| Subjects: | Product service system; Digital twin; Symbiotic simulation; Near-real-time decision making |
| Subject (DDC): | 658.403: Decision making, information management |
| Abstract: | An 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/25000 |
| 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) |
| 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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