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Investigating the impact of human in-the-loop digital twin in an industrial maintenance context [Abstract]

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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 Lohse
In 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 Journal

Source

TESConf 2020 - 9th International Conference on Through-life Engineering Services

Publisher

SSRN

Version

  • 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.3717797

Publication date

2020-10-23

ISSN

1556-5068

Language

  • en

Location

Online Edition

Event dates

3rd November 2020 - 4th November 2020

Depositor

Miss Melanie Zimmer. Deposit date: 23 November 2020

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