Investigating the Impact of Human in-the-Loop Digital Twin in an Industrial Maintenance Context

2 Pages Posted: 23 Oct 2020

See all articles by Ali Al-Yacoub

Ali Al-Yacoub

Loughborough University

Will Eaton

Loughborough University

Melanie Zimmer

Loughborough University

Achim Buerkle

Loughborough University

Dedy Ariansyah

Cranfield University

John Ahmet Erkoyuncu

Cranfield University

Niels Lohse

Loughborough University

Date Written: October 23, 2020

Abstract

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.

Keywords: Digital Twin; Artificial Intelligence; Machine Learning; Human-in-the-Loop; Maintenance; Virtual Reality.

Suggested Citation

Al-Yacoub, Ali and Eaton, Will and Zimmer, Melanie and Buerkle, Achim and Ariansyah, Dedy and Erkoyuncu, John Ahmet and Lohse, Niels, Investigating the Impact of Human in-the-Loop Digital Twin in an Industrial Maintenance Context (October 23, 2020). TESConf 2020 - 9th International Conference on Through-life Engineering Services, Available at SSRN: https://ssrn.com/abstract=3717797 or http://dx.doi.org/10.2139/ssrn.3717797

Ali Al-Yacoub (Contact Author)

Loughborough University

Ashby Road
Nottingham NG1 4BU
Great Britain

Will Eaton

Loughborough University

Ashby Road
Nottingham NG1 4BU
Great Britain

Melanie Zimmer

Loughborough University

Ashby Road
Nottingham NG1 4BU
Great Britain

Achim Buerkle

Loughborough University

Ashby Road
Nottingham NG1 4BU
Great Britain

Dedy Ariansyah

Cranfield University ( email )

Cranfield
Bedfordshire MK43 OAL, MK43 0AL
United Kingdom

John Ahmet Erkoyuncu

Cranfield University ( email )

Cranfield
Bedfordshire MK43 OAL, MK43 0AL
United Kingdom

Niels Lohse

Loughborough University

Ashby Road
Nottingham NG1 4BU
Great Britain

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