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Download fileInvestigating the impact of human in-the-loop digital twin in an industrial maintenance context [Abstract]
conference contribution
posted on 2021-01-14, 15:35 authored by Ali Al-Yacoub, Will Eaton, Melanie Zimmer, Achim Buerkle, Dedy Ariansyah, John Ahmet Erkoyuncu, Niels LohseNiels LohseIn the manufacturing context, the concept of Digital Twins (DT) has over the years emerged to improve
manufacturing processes, such as assembly, maintenance, machine monitoring, and optimisation for all physical
equipment on the shop floor. A DT can be understood as the virtual representation of a real-world physical entity
that provides guidelines and live indication of the entity status and future projections that can assist humans in
numerous manufacturing applications. Despite the human expertise being crucial in manufacturing applications,
according to literature, the information flow is currently still only one-way: from the DT to the human. As such,
the operator’s feedback and observations are not utilised within industrial DTs. The presented paper hypothesises
that a Virtual Reality Digital Twin framework that includes human sensor feedback in an industrial DT context
combined with remote expert support can impact the industrial maintenance cost.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
SSRN JournalSource
TESConf 2020 - 9th International Conference on Through-life Engineering ServicesPublisher
SSRNVersion
- AO (Author's Original)
Publisher statement
This paper was published in the journal Information Processing Letters and the definitive published version is available at https://dx.doi.org/10.2139/ssrn.3717797Publication date
2020-10-23ISSN
1556-5068Publisher version
Language
- en