Record link: 
http://hdl.handle.net/20.500.12708/193256
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Title: 
Towards a Taxonomy of Digital Twin Evolution for Technical Sustainability
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Citation: 
David, I., & Bork, D. (2023). Towards a Taxonomy of Digital Twin Evolution for Technical Sustainability. In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) (pp. 934–938). IEEE. https://doi.org/10.1109/MODELS-C59198.2023.00147
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Publisher DOI: 
10.1109/MODELS-C59198.2023.00147
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
David, Istvan 
Bork, Dominik 
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Organisational Unit: 
E194-03 - Forschungsbereich Business Informatics 
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Published in: 
2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) 
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ISBN: 
979-8-3503-2498-3
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Date (published): 
2023
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Event name: 
2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) 
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Event date: 
1-Oct-2023 - 6-Oct-2023
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Event place: 
Västeras, Sweden
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Number of Pages: 
5
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Publisher: 
IEEE, Piscataway
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Peer reviewed: 
Yes
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Keywords: 
Digital Twin; Knowledge engineering; Model driven engineering; circular economy; sustainability
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Abstract: 
The next generation of engineered systems ought to be more sustainable. In this context, Digital Twins play a crucial role as key enablers of sustainability ambitions in systems engineering. However, as a specific class of engineered systems, Digital Twins themselves must adopt sustainability principles to avoid defeating their purpose in fostering sustainability. In this proposal, we focus on the technical sustainability of Digital Twins, enabled by their evolution. We propose an initial taxonomy we believe will support systematic Digital Twin evolution mecha-nisms and draw links to similar taxonomies of Physical Twins.
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
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Appears in Collections:
Conference Paper

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