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Modelling cycle for simulation digital twins

Reed, Sean; L�fstrand, Magnus; Andrews, John

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Authors

Sean Reed

Magnus L�fstrand

JOHN ANDREWS john.andrews@nottingham.ac.uk
Professor of Infrastructure Asset Management



Abstract

Digital twins (DT) form part of the Industry 4.0 revolution within manufacturing and related industries. A DT is a digital model (DM) of a real system that features continuous and automated synchronisation and feedback of optimisations between the real and digital domains. A core technology for predictive capabilities from DT is discrete event simulation (DES). The modelling cycle for developing and analysing DES models is significantly different compared to DM. A DT specific DES modelling cycle is introduced that is evolved from that of DM. The availability of specialised software tools for DT tailored to these differences would benefit industry.

Citation

Reed, S., Löfstrand, M., & Andrews, J. (2021). Modelling cycle for simulation digital twins. Manufacturing Letters, 28, 54-58. https://doi.org/10.1016/j.mfglet.2021.04.004

Journal Article Type Article
Acceptance Date Apr 15, 2021
Online Publication Date Apr 24, 2021
Publication Date 2021-04
Deposit Date May 10, 2021
Publicly Available Date May 10, 2021
Journal Manufacturing Letters
Print ISSN 2213-8463
Peer Reviewed Peer Reviewed
Volume 28
Pages 54-58
DOI https://doi.org/10.1016/j.mfglet.2021.04.004
Keywords Industrial and Manufacturing Engineering; Mechanics of Materials
Public URL https://nottingham-repository.worktribe.com/output/5522578
Publisher URL https://www.sciencedirect.com/science/article/pii/S2213846321000195
Additional Information This article is maintained by: Elsevier; Article Title: Modelling cycle for simulation digital twins; Journal Title: Manufacturing Letters; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.mfglet.2021.04.004; Content Type: article; Copyright: © 2021 The Authors. Published by Elsevier Ltd on behalf of Society of Manufacturing Engineers (SME).

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