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Integrating Organizational and Technological Aspects of Digital Twin Engineering
University of Rostock, Rostock, Germany .
University of Rostock, Rostock, Germany.
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. University of Rostock, Rostock, Germany.ORCID iD: 0000-0002-7431-8412
Stockholm University, Kista, Sweden .
2022 (English)In: Proceedings of the PoEM 2022 Workshops and Models at Workco-located with Practice of Enterprise Modelling 2022 / [ed] D. Bork et al., CEUR-WS , 2022Conference paper, Published paper (Refereed)
Abstract [en]

Digital Twin (DT) is a concept that has attracted much scientific research and industrial development during the last years. The basic idea is to connect (physical) facilities or devices with digital representations to facilitate real-time monitoring, manipulation and prediction of behavior. The focus of this paper is on the integration of organizational aspects of digital twin engineering (DTE), such as business processes, organization structures and capability development, with technological aspects, such as architecture design, technology selection and system implementation. The paper proposes to use a model-based approach anchored in experiences from enterprise modeling and capability management. An industrial case study is used to demonstrate the different steps of the approach. The industrial case shows feasibility of the approach and relevance of digital twin development for digital transformation. 

Place, publisher, year, edition, pages
CEUR-WS , 2022.
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 3298
Keywords [en]
capability management, Digital transformation, digital twin, energy efficiency, enterprise modeling, Digital devices, Digital representations, Enterprise models, Industrial development, Organizational aspects, Real-time prediction, Research development, Scientific researches, Technological aspects, Industrial research
National Category
Computer Sciences Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-59484Scopus ID: 2-s2.0-85143972906OAI: oai:DiVA.org:hj-59484DiVA, id: diva2:1740271
Conference
2022 Practice of Enterprise Modelling Workshops and Models at Work, PoEM-2022-Workshops-Models at Work, 23 November 2022 through 25 November 2022
Available from: 2023-02-28 Created: 2023-02-28 Last updated: 2023-02-28Bibliographically approved

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Sandkuhl, Kurt

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  • de-DE
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