Onaji, I., Tiwari, D., Soulatiantork, P. et al. (2 more authors) (2022) Digital twin in manufacturing : conceptual framework and case studies. International Journal of Computer Integrated Manufacturing, 35 (8). pp. 831-858. ISSN 0951-192X
Abstract
The digital twin (DT) concept has a key role in the future of the smart manufacturing industry. This review paper aims to investigate the development of the digital twin concept, its maturity and its vital role in the fourth industrial revolution. Having identified its potential functionalities for the digitalisation of the manufacturing industry, the digital twin concept, its origin and perspectives from both the academic and industrial sectors are presented. The identified research gaps, trends and technical limitations hampering the implementation of digital twins are also discussed. In particular, this review attempts to address the research question on how the digital twin concept can support the realisation of an integrated, flexible and collaborative manufacturing environment which is one of the goals projected by the fourth industrial revolution. To address this, a conceptual framework supporting an integrated product-process digital twin for application in digitised manufacturing is proposed. The application and benefits of the proposed framework are presented in three case studies.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way |
Keywords: | Digital twin; automation and control; smart manufacturing; Industry 4.0; cyber-physical production systems; product lifecycle management |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number The Royal Academy of Engineering RCSRF1718\5\41 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 Feb 2022 12:33 |
Last Modified: | 25 Nov 2022 15:37 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/0951192x.2022.2027014 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:183303 |