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dc.contributor.authorLeirmo, Torbjørn Langedahl
dc.date.accessioned2025-03-17T14:17:11Z
dc.date.available2025-03-17T14:17:11Z
dc.date.created2024-11-28T08:57:09Z
dc.date.issued2024
dc.identifier.citationProcedia CIRP. 2024, 130, 761-766.en_US
dc.identifier.issn2212-8271
dc.identifier.urihttps://hdl.handle.net/11250/3183692
dc.description.abstractThe holy grail of Industry 5.0 resides in the intersection of the three dimensions; sustainable, resilient, and human-centric manufacturing. While the Industry 4.0 paradigm addresses resiliency and sustainability through increased flexibility and efficiency, the human component of manufacturing systems has been largely neglected. Despite rapid developments in artificial intelligence, human intelligence remains superior in terms of creative and critical thinking. Digital twins have emerged as a concept that effectively merges the physical and the digital worlds in cyber-physical production systems. The computational power of digital systems is leveraged to collect and aggregate data that are analyzed and presented to a human decision-maker. Taking a human-centric perspective, the digital twin should be designed to enhance human capabilities, accommodate the needs of people, and mitigate shortcomings of the human mind. This paper addresses these issues by discussing how humans may utilize and better interact with digital twins. A conceptual framework for a human-centric digital twin is proposed with use cases for various interfaces for operators, engineers, and managers.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleDigital Twins for Industry 5.0: Unlocking the Human Potentialen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2024 The Authorsen_US
dc.source.pagenumber761-766en_US
dc.source.volume130en_US
dc.source.journalProcedia CIRPen_US
dc.identifier.doi10.1016/j.procir.2024.10.161
dc.identifier.cristin2324634
dc.relation.projectNorges forskningsråd: 328834en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal