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A Survey on the Challenges Hindering the Application of Data Science, Digital Twins and Design Automation in Engineering Practice

Published online by Cambridge University Press:  26 May 2022

S. Rädler  and
E. Rigger
S. Rädler*
Affiliation:
V-Research GmbH, Austria TU Wien, Austria
E. Rigger
Affiliation:
V-Research GmbH, Austria
*
simon.raedler@v-research.at

Abstract

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Digital Engineering is an emerging trend and aims to support engineering design by integrating computational technologies like design automation, data science, digital twins, and product lifecycle management. To enable alignment of industrial practice with state of the art, an industrial survey is conducted to capture the status and identify obstacles that hinder implementation in the industry. The results show companies struggle with missing know-how and available experts. Future work should elaborate on methods that facilitate the integration of Digital Engineering in design practice.

Keywords

artificial intelligence (AI)design automationdigital designcomputational design methodsproduct lifecycle management (PLM)
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 1699 - 1708
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), 2022.

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