A community-sourced view on engineering digital twins: a report from the EDT.Community.

Loek Cleophas; Thomas Godfrey; Djamel Eddine Khelladi; Daniel Lehner; Benoît Combemale; Mark van den Brand; Michael Vierhauser; Manuel Wimmer; Steffen Zschaler

doi:10.1145/3550356.3561549

A community-sourced view on engineering digital twins: a report from the EDT.Community.

Loek Cleophas, Thomas Godfrey, Djamel Eddine Khelladi, Daniel Lehner, Benoît Combemale, Mark van den Brand, Michael Vierhauser, Manuel Wimmer, Steffen Zschaler

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

Abstract

Digital Twins are an important concept, enabling what-if scenario exploration, predictive maintenance, and other approaches. They help in saving time and physical resources when developing and evolving systems, whether natural or engineered. However, constructing and maintaining digital twins is a challenging engineering task-and, to date, there is a lack of understanding of the engineering techniques and methodologies required. To address these challenges, we created EDT.Community, a programme of seminars on the engineering of digital twins hosting digital twins experts from academia and industry. In this paper, we report on the main topics of discussion from the first year of the programme. We contribute by providing (1) a common understanding of open challenges in research and practice of the engineering of digital twins, and (2) an entry point to researchers who aim to close gaps in the current state of the art.

Original language	English
Title of host publication	Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022
Subtitle of host publication	Companion Proceedings
Pages	481-485
Number of pages	5
ISBN (Electronic)	9781450394673
DOIs	https://doi.org/10.1145/3550356.3561549
Publication status	Published - 23 Oct 2022

Bibliographical note

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Keywords

Digital twin
Systems engineering
digital engineering

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10.1145/3550356.3561549

Cite this

Cleophas, L., Godfrey, T., Khelladi, D. E., Lehner, D., Combemale, B., Brand, M. V. D., Vierhauser, M., Wimmer, M., & Zschaler, S. (2022). A community-sourced view on engineering digital twins: a report from the EDT.Community. In Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings (pp. 481-485) https://doi.org/10.1145/3550356.3561549

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abstract = "Digital Twins are an important concept, enabling what-if scenario exploration, predictive maintenance, and other approaches. They help in saving time and physical resources when developing and evolving systems, whether natural or engineered. However, constructing and maintaining digital twins is a challenging engineering task-and, to date, there is a lack of understanding of the engineering techniques and methodologies required. To address these challenges, we created EDT.Community, a programme of seminars on the engineering of digital twins hosting digital twins experts from academia and industry. In this paper, we report on the main topics of discussion from the first year of the programme. We contribute by providing (1) a common understanding of open challenges in research and practice of the engineering of digital twins, and (2) an entry point to researchers who aim to close gaps in the current state of the art.",

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Cleophas, L, Godfrey, T, Khelladi, DE, Lehner, D, Combemale, B, Brand, MVD, Vierhauser, M, Wimmer, M & Zschaler, S 2022, A community-sourced view on engineering digital twins: a report from the EDT.Community. in Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings. pp. 481-485. https://doi.org/10.1145/3550356.3561549

A community-sourced view on engineering digital twins: a report from the EDT.Community. / Cleophas, Loek; Godfrey, Thomas; Khelladi, Djamel Eddine et al.
Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings. 2022. p. 481-485.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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A community-sourced view on engineering digital twins: a report from the EDT.Community.

Abstract

Bibliographical note

Keywords

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