Modelling cycle for simulation digital twins

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

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.

• 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).