Long living human-machine systems in construction and production enabled by digital twins
Abstract In the industrial sector, products evolve significantly over their operational life. A key challenge has been maintaining precise, relevant engineering data. This paper explores the digital twin concept, merging engineering and operational data to enhance product information updates. It examines digital twin applications in construction, material flow, manufacturing and production, citing battery production and additive manufacturing. Digital twins aid in analyzing, experimenting with, and refining a system’s design and its operation, offering insights across product and system lifecycles. This includes tackling data management and model-data consistency challenges, as well as the recognition of synergies. This paper emphasizes sustainable, efficient management of engineering information, reflecting shifts in product longevity and documentation in industrial products and machinery.
Authors
- Andreas Mayr (ORCID: https://orcid.org/0000-0003-1592-8656)
- Kai‐Uwe Bletzinger (ORCID: https://orcid.org/0000-0003-1420-6440)
- Rüdiger Daub (ORCID: https://orcid.org/0000-0002-5120-4228)
- Klaus Bengler (ORCID: https://orcid.org/0000-0003-3906-6093)
- Moritz Wittemer (ORCID: https://orcid.org/0000-0002-7070-8667)
- Michael F. Zaeh (ORCID: https://orcid.org/0000-0002-2882-1359)
- Ann‐Kathrin Goldbach (ORCID: https://orcid.org/0000-0001-8112-2875)
- Martin Fleischer (ORCID: https://orcid.org/0000-0002-5695-3260)
- Theresa Prinz (ORCID: https://orcid.org/0000-0002-3046-4530)
- Jakob Trauer (ORCID: https://orcid.org/0000-0001-5671-9020)
- Birgit Vogel‐Heuser (ORCID: https://orcid.org/0000-0003-2785-8819)
- Johannes Fottner
- André Borrmann (ORCID: https://orcid.org/0000-0003-2088-7254)
- Florian Rothmeyer
- Anne Fischer (ORCID: https://orcid.org/0000-0002-2106-3735)
- Katrin Wudy (ORCID: https://orcid.org/0000-0002-3384-4651)
- Jingyun Zhao
- Markus Zimmermann (ORCID: https://orcid.org/0000-0001-6477-8303)
- P. Schroeder
- Fandi Hartl
Institutions
- Institute of Automation (DE)
- Technical University of Munich (DE)
Publication Details
- Journal
- at - Automatisierungstechnik
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1515/auto-2023-0227
- Citations
- 6
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 2.09