Cost Benefit Analysis for Digital Twin Model Selection at the Time of Investment

Adam McClenaghan; James Gopsill; Robert Ballantyne; Ben Hicks

doi:10.1016/j.procir.2023.09.148

Cost Benefit Analysis for Digital Twin Model Selection at the Time of Investment

Adam McClenaghan^*, James Gopsill, Robert Ballantyne, Ben Hicks

^*Corresponding author for this work

Research output: Contribution to conference › Conference Paper › peer-review

4 Citations (Scopus)

Abstract

Our ability to twin the digital and physical worlds can now be achieved through a broad range of low-to-high fidelity sensors and simulation and modelling techniques including analytical, numerical and artificial intelligence. The challenge for Digital Twins is now moving from the technical exercise of achieving the Digital Twin to how we categorise Digital Twin architectures and how we can predict the cost benefit when investing. This paper explores some existing categorisations of the model component of the Digital Twin and examines the variance in cost-benefit of two Digital Twin model components for twinning the location of a thermally sensitive assembly.

Original language	English
Pages	1197-1202
Number of pages	6
DOIs	https://doi.org/10.1016/j.procir.2023.09.148
Publication status	Published - 2023
Event	56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023 - Cape Town, South Africa Duration: 24 Oct 2023 → 26 Oct 2023

Conference

Conference	56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023
Country/Territory	South Africa
City	Cape Town
Period	24/10/23 → 26/10/23

Bibliographical note

Funding Information:
This work was funded as part of iCase voucher 20000067, in association with GKN Aerospace.

Publisher Copyright:
© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 56th CIRP International Conference on Manufacturing Systems 2023.

Keywords

Assemblies
Categorisation
Cost-Benefit
Digital Twin

Access to Document

10.1016/j.procir.2023.09.148

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Cite this

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abstract = "Our ability to twin the digital and physical worlds can now be achieved through a broad range of low-to-high fidelity sensors and simulation and modelling techniques including analytical, numerical and artificial intelligence. The challenge for Digital Twins is now moving from the technical exercise of achieving the Digital Twin to how we categorise Digital Twin architectures and how we can predict the cost benefit when investing. This paper explores some existing categorisations of the model component of the Digital Twin and examines the variance in cost-benefit of two Digital Twin model components for twinning the location of a thermally sensitive assembly.",

keywords = "Assemblies, Categorisation, Cost-Benefit, Digital Twin",

author = "Adam McClenaghan and James Gopsill and Robert Ballantyne and Ben Hicks",

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AU - Gopsill, James

AU - Ballantyne, Robert

AU - Hicks, Ben

N1 - Funding Information: This work was funded as part of iCase voucher 20000067, in association with GKN Aerospace. Publisher Copyright: © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 56th CIRP International Conference on Manufacturing Systems 2023.

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AB - Our ability to twin the digital and physical worlds can now be achieved through a broad range of low-to-high fidelity sensors and simulation and modelling techniques including analytical, numerical and artificial intelligence. The challenge for Digital Twins is now moving from the technical exercise of achieving the Digital Twin to how we categorise Digital Twin architectures and how we can predict the cost benefit when investing. This paper explores some existing categorisations of the model component of the Digital Twin and examines the variance in cost-benefit of two Digital Twin model components for twinning the location of a thermally sensitive assembly.

KW - Assemblies

KW - Categorisation

KW - Cost-Benefit

KW - Digital Twin

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M3 - Conference Paper

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T2 - 56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023

Y2 - 24 October 2023 through 26 October 2023

ER -

Cost Benefit Analysis for Digital Twin Model Selection at the Time of Investment

Abstract

Conference

Bibliographical note

Keywords

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