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

3 Citations (Scopus)

8 Downloads (Pure)

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	MODELS '22
Subtitle of host publication	Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc.
Pages	481-485
Number of pages	5
ISBN (Electronic)	978-1-4503-9467-3
DOIs	https://doi.org/10.1145/3550356.3561549
Publication status	Published - 9 Nov 2022
Event	25th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2022 - Montreal, Canada Duration: 23 Oct 2022 → 28 Oct 2022

Conference

Conference	25th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2022
Country/Territory	Canada
City	Montreal
Period	23/10/22 → 28/10/22

Keywords

Digital twin
Systems engineering
digital engineering

Access to Document

10.1145/3550356.3561549

pdfFinal published version, 459 KBLicence: CC BY

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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 MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (pp. 481-485). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3550356.3561549

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

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.",

keywords = "Digital twin, Systems engineering, digital engineering",

author = "Loek Cleophas and Thomas Godfrey and Khelladi, \{Djamel Eddine\} and Daniel Lehner and Beno{\^i}t Combemale and Brand, \{Mark van den\} and Michael Vierhauser and Manuel Wimmer and Steffen Zschaler",

year = "2022",

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doi = "10.1145/3550356.3561549",

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pages = "481--485",

booktitle = "MODELS '22",

publisher = "Association for Computing Machinery, Inc.",

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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 MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. Association for Computing Machinery, Inc., New York, pp. 481-485, 25th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2022, Montreal, Canada, 23/10/22. 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.
MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. New York: Association for Computing Machinery, Inc., 2022. p. 481-485.

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

TY - GEN

T1 - A community-sourced view on engineering digital twins: a report from the EDT.Community

AU - Cleophas, Loek

AU - Godfrey, Thomas

AU - Khelladi, Djamel Eddine

AU - Lehner, Daniel

AU - Combemale, Benoît

AU - Brand, Mark van den

AU - Vierhauser, Michael

AU - Wimmer, Manuel

AU - Zschaler, Steffen

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N2 - 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.

AB - 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.

KW - Digital twin

KW - Systems engineering

KW - digital engineering

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Cleophas L, Godfrey T, Khelladi DE, Lehner D, Combemale B, Brand MVD et al. A community-sourced view on engineering digital twins: a report from the EDT.Community. In MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. New York: Association for Computing Machinery, Inc. 2022. p. 481-485 doi: 10.1145/3550356.3561549

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

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