Review and classification of challenges in digital twin implementation for simulation-based industrial applications
Review and classification of challenges in digital twin implementation for simulation-based industrial applications
Digital Twins (DTs) play an increasingly important role in connecting physical objects to their digital counterparts, with simulation playing a key role in deriving valuable insights. Despite their potential, DT implementation remains complex and adoption in industrial operations is limited. This paper investigates
the challenges of DT implementation in simulation-based industrial applications through systematically reviewing 124 publications from 2021 to 2024. The findings reveal that while nearly half of the publications tested prototypes, most are limited to laboratory settings and lack critical features such as cybersecurity
or real-time capabilities. Discrete Event Simulation and numerical simulation emerge as the dominantly utilized simulation techniques in DTs. From the analysis, 33 challenges are identified and the classification of them into nine dimensions is proposed. Finally, further research opportunities are outlined.
Wuttke, Alexander
186497e5-256a-485c-bbfa-9ce8c66c85b7
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Rabe, Markus
7562c7f4-1bd9-4ce0-ab3b-b6585204d4a1
Wuttke, Alexander
186497e5-256a-485c-bbfa-9ce8c66c85b7
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Rabe, Markus
7562c7f4-1bd9-4ce0-ab3b-b6585204d4a1
Wuttke, Alexander, Onggo, Bhakti Stephan and Rabe, Markus
(2025)
Review and classification of challenges in digital twin implementation for simulation-based industrial applications.
In Proceedings of the 2025 Winter Simulation Conference.
IEEE.
12 pp
.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
Digital Twins (DTs) play an increasingly important role in connecting physical objects to their digital counterparts, with simulation playing a key role in deriving valuable insights. Despite their potential, DT implementation remains complex and adoption in industrial operations is limited. This paper investigates
the challenges of DT implementation in simulation-based industrial applications through systematically reviewing 124 publications from 2021 to 2024. The findings reveal that while nearly half of the publications tested prototypes, most are limited to laboratory settings and lack critical features such as cybersecurity
or real-time capabilities. Discrete Event Simulation and numerical simulation emerge as the dominantly utilized simulation techniques in DTs. From the analysis, 33 challenges are identified and the classification of them into nine dimensions is proposed. Finally, further research opportunities are outlined.
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Accepted/In Press date: 3 June 2025
Venue - Dates:
2025 Winter Simulation Conference, , Seattle, United States, 2025-12-07 - 2025-12-10
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Local EPrints ID: 504059
URI: http://eprints.soton.ac.uk/id/eprint/504059
PURE UUID: 2dcd3c82-4e92-4b42-85ea-bcdac21b5fe2
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Date deposited: 22 Aug 2025 16:33
Last modified: 23 Aug 2025 02:15
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Contributors
Author:
Alexander Wuttke
Author:
Markus Rabe
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