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Towards a Taxonomy of Digital Twin Evolution for Technical Sustainability

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.

Authors

David I; Bork D

Volume

00

Pagination

pp. 934-938

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

October 6, 2023

DOI

10.1109/models-c59198.2023.00147

Name of conference

2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)
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