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A survey on the industry's perception of digital twins – a follow-up to the digital twin workshop at the DESIGN Conference 2022

Published online by Cambridge University Press:  16 May 2024

Michel Fett ,
Julius Zwickler ,
Fabian Wilking ,
Stefan Goetz ,
Sebastian Schweigert-Recksiek ,
Ben Hicks ,
Oscar Nespoli ,
Kristina Wärmefjord ,
Sandro Wartzack  and
Eckhard Kirchner
Michel Fett*
Affiliation:
Technische Universität Darmstadt, Germany
Julius Zwickler
Affiliation:
Technische Universität Darmstadt, Germany
Fabian Wilking
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Stefan Goetz
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Sebastian Schweigert-Recksiek
Affiliation:
:em engineering methods AG, Germany
Ben Hicks
Affiliation:
University of Bristol, United Kingdom
Oscar Nespoli
Affiliation:
University of Waterloo, Canada
Kristina Wärmefjord
Affiliation:
Chalmers University of Technology, Sweden
Sandro Wartzack
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Eckhard Kirchner
Affiliation:
Technische Universität Darmstadt, Germany
*
michel.fett@tu-darmstadt.de

Abstract

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Digital Twins are perceived differently between and within industry and academia regarding applications and potentials. For this reason, a round table was formed based on the Digital Twin Workshop of the Design Conference 2022. One of the results of this round table is this contribution, which deals with a survey within the industry. The survey captured the understanding of the different roles in the creation and use of Digital Twins, the requirements and hurdles as well as the perception of methodological support. In addition, factors that influence the perception were identified.

Keywords

digital twinsurveydesign workshopindustry 4.0

Information

Type
Artificial Intelligence and Data-Driven Design
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 2039 - 2048
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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