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Authors: Bentley James Oakes ; Ali Parsai ; Simon Van Mierlo ; Serge Demeyer ; Joachim Denil ; Paul De Meulenaere and Hans Vangheluwe

Affiliation: University of Antwerp, Flanders Make Vzw, Belgium

Keyword(s): Digital Twins, Digital Twinning, Digital Twin Classification, Modelling and Simulation.

Abstract: Digital twins (DTs) are prevalent throughout industrial domains as evidenced by the rapid pace of experience reports in the literature. However, there remains disagreement about the precise definition of a DT and the essential characteristics in the DT paradigm, such as the scope of the system-under-study and the time-scale of its communication with the DT. These experience reports could therefore be hampering further classification and research insights by not reporting all of these relevant details about the DT solutions. We address these concerns by providing a conceptual structure for DTs as a common understanding and checklist for researchers and practitioners to precisely describe the characteristics and capabilities of their DT solutions. We express five experience reports using our structure to demonstrate its applicability and role as a guideline to improve the reporting of characteristics and increase the clarity of future experience reports.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Oakes, B. ; Parsai, A. ; Van Mierlo, S. ; Demeyer, S. ; Denil, J. ; De Meulenaere, P. and Vangheluwe, H. (2021). Improving Digital Twin Experience Reports. In Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - MODELSWARD; ISBN 978-989-758-487-9; ISSN 2184-4348, SciTePress, pages 179-190. DOI: 10.5220/0010236101790190

@conference{modelsward21,
author={Bentley James Oakes and Ali Parsai and Simon {Van Mierlo} and Serge Demeyer and Joachim Denil and Paul {De Meulenaere} and Hans Vangheluwe},
title={Improving Digital Twin Experience Reports},
booktitle={Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - MODELSWARD},
year={2021},
pages={179-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010236101790190},
isbn={978-989-758-487-9},
issn={2184-4348},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - MODELSWARD
TI - Improving Digital Twin Experience Reports
SN - 978-989-758-487-9
IS - 2184-4348
AU - Oakes, B.
AU - Parsai, A.
AU - Van Mierlo, S.
AU - Demeyer, S.
AU - Denil, J.
AU - De Meulenaere, P.
AU - Vangheluwe, H.
PY - 2021
SP - 179
EP - 190
DO - 10.5220/0010236101790190
PB - SciTePress

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