| Publication type: | Conference paper |
| Type of review: | Peer review (abstract) |
| Title: | Classifying digital twins : a three-dimensional conceptual reference model |
| Authors: | Barth, Linard Ehrat, Matthias Fuchs, Rainer |
| et. al: | No |
| Proceedings: | Proceedings of the 2nd Smart Services Summit |
| Editors of the parent work: | Meierhofer, Jürg West, Shaun |
| Page(s): | 22 |
| Pages to: | 30 |
| Conference details: | 2nd Smart Services Summit, Zürich, Switzerland, 13 September 2019 |
| Issue Date: | 2019 |
| Publisher / Ed. Institution: | Swiss Alliance for Data-Intensive Services |
| Publisher / Ed. Institution: | Thun |
| ISBN: | 978-3-033-07563-4 |
| Language: | English |
| Subjects: | Classification; Conceptual model; Digital twin; Dimension |
| Subject (DDC): | 003: Systems 005: Computer programming, programs and data |
| Abstract: | The development and progress in information and communication technology will transform traditional products into smart connected products and allow to offer novel smart services. The Digital Twin concept is regarded as a key technology for the seamless integration and fusion of smart connected products and related smart services within cyber-physical systems and as a way to seize the manifold opportunities to create value with novel smart services. However, this interdisciplinary concept is hard to grasp and communicate and hence it is difficult to demonstrate the business value and the resulting return. This is mainly due to the ambiguity in understandings and definitions owing to the relatively young field of research, the few practical implementation cases and the multidisciplinary nature of the digital twin concept.Given the wide range of interpretations and the different definitions of Digital Twins, it becomes evident that further dimensions for structuring are required in order to get a differentiated yet understandable perspective, especially on the value contribution of Digital Twins. Smart connected products and their cyber-physical systems are an outcome of an integration process over a variety of disciplines and their nature adds another dimension of complexity. To deal with this, it is thus critical to establish a reference model of architecture for digital twins. This paper proposes a novel three-dimensional conceptual reference model with the axes system hierarchy level, product lifecycle management integration level and data categories to contribute to the disambiguation of digital twins. The aim of the model is to support researchers and practitioners in classifying and structuring their digital twin projects and support the communication within research and practice and different fields of expertise alike. It further contributes to model the profile of the digital twin in the servitization area, outlines future research directions and supports the implementation in practice. |
| URI: | https://data-innovation.org/wp-content/uploads/2022/12/Smart-Services-Summit-2019-proceedings.pdf https://digitalcollection.zhaw.ch/handle/11475/20022 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | Life Sciences and Facility Management |
| Organisational Unit: | Institute of Marketing Management (IMM) |
| Appears in collections: | Publikationen Life Sciences und Facility Management |
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Barth, L., Ehrat, M., & Fuchs, R. (2019). Classifying digital twins : a three-dimensional conceptual reference model [Conference paper]. In J. Meierhofer & S. West (Eds.), Proceedings of the 2nd Smart Services Summit (pp. 22–30). Swiss Alliance for Data-Intensive Services. https://data-innovation.org/wp-content/uploads/2022/12/Smart-Services-Summit-2019-proceedings.pdf
Barth, L., Ehrat, M. and Fuchs, R. (2019) ‘Classifying digital twins : a three-dimensional conceptual reference model’, in J. Meierhofer and S. West (eds) Proceedings of the 2nd Smart Services Summit. Thun: Swiss Alliance for Data-Intensive Services, pp. 22–30. Available at: https://data-innovation.org/wp-content/uploads/2022/12/Smart-Services-Summit-2019-proceedings.pdf.
L. Barth, M. Ehrat, and R. Fuchs, “Classifying digital twins : a three-dimensional conceptual reference model,” in Proceedings of the 2nd Smart Services Summit, 2019, pp. 22–30. [Online]. Available: https://data-innovation.org/wp-content/uploads/2022/12/Smart-Services-Summit-2019-proceedings.pdf
BARTH, Linard, Matthias EHRAT und Rainer FUCHS, 2019. Classifying digital twins : a three-dimensional conceptual reference model. In: Jürg MEIERHOFER und Shaun WEST (Hrsg.), Proceedings of the 2nd Smart Services Summit [online]. Conference paper. Thun: Swiss Alliance for Data-Intensive Services. 2019. S. 22–30. ISBN 978-3-033-07563-4. Verfügbar unter: https://data-innovation.org/wp-content/uploads/2022/12/Smart-Services-Summit-2019-proceedings.pdf
Barth, Linard, Matthias Ehrat, and Rainer Fuchs. 2019. “Classifying Digital Twins : A Three-Dimensional Conceptual Reference Model.” Conference paper. In Proceedings of the 2nd Smart Services Summit, edited by Jürg Meierhofer and Shaun West, 22–30. Thun: Swiss Alliance for Data-Intensive Services. https://data-innovation.org/wp-content/uploads/2022/12/Smart-Services-Summit-2019-proceedings.pdf.
Barth, Linard, et al. “Classifying Digital Twins : A Three-Dimensional Conceptual Reference Model.” Proceedings of the 2nd Smart Services Summit, edited by Jürg Meierhofer and Shaun West, Swiss Alliance for Data-Intensive Services, 2019, pp. 22–30, https://data-innovation.org/wp-content/uploads/2022/12/Smart-Services-Summit-2019-proceedings.pdf.
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