Datensatz Zitierlink: 
http://hdl.handle.net/20.500.12708/193256
-
Titel: 
Towards a Taxonomy of Digital Twin Evolution for Technical Sustainability
en
Zitat: 
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
-
Verlags-DOI: 
10.1109/MODELS-C59198.2023.00147
-
Publikationstyp: 
Konferenzbeitrag - Full-Paper Contribution
de
Sprache: 
Englisch
-
Autor_innen: 
David, Istvan 
Bork, Dominik 
-
Organisations­einheit: 
E194-03 - Forschungsbereich Business Informatics 
-
Erschienen in: 
2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) 
-
ISBN: 
979-8-3503-2498-3
-
Datum (veröffentlicht): 
2023
-
Veranstaltungs­name: 
2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) 
en
Veranstaltungs­zeitraum: 
1-Okt-2023 - 6-Okt-2023
-
Veranstaltungs­ort: 
Västeras, Schweden
-
Umfang: 
5
-
Verlag: 
IEEE, Piscataway
-
Keywords: 
Digital Twin; Knowledge engineering; Model driven engineering; circular economy; sustainability
en
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.
en
Forschungs­schwerpunkte: 
Information Systems Engineering: 100%
-
Wissenschafts­zweig: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
-
Enthalten in den Sammlungen:
Conference Paper

Zur Langanzeige

Seiten Aufrufe

156
aufgerufen am 02.02.2024

Google ScholarTM

Check