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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\u2019s 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.<\/jats:p>","DOI":"10.1515\/auto-2023-0227","type":"journal-article","created":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T13:34:52Z","timestamp":1725975292000},"page":"789-814","source":"Crossref","is-referenced-by-count":6,"title":["Long living human-machine systems in construction and production enabled by digital twins"],"prefix":"10.1515","volume":"72","author":[{"given":"Birgit","family":"Vogel-Heuser","sequence":"first","affiliation":[{"name":"Technical University of Munich, Institute of Automation and Information Systems , Boltzmannstr. 15, 85748 Garching bei M\u00fcnchen , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fandi","family":"Hartl","sequence":"additional","affiliation":[{"name":"Technical University of Munich, Institute of Automation and Information Systems 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