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The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0
As the adoption of Industry 4.0 advances and the manufacturing process becomes increasingly digital, the Digital Twin (DT) will prove invaluable for testing and simulating new parameters and design variants. DT solutions build a 3D digital replica of the physical object allowing the managers to deve...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246533/ https://www.ncbi.nlm.nih.gov/pubmed/37305021 http://dx.doi.org/10.1007/s43674-023-00058-y |
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author | Attaran, Mohsen Attaran, Sharmin Celik, Bilge Gokhan |
author_facet | Attaran, Mohsen Attaran, Sharmin Celik, Bilge Gokhan |
author_sort | Attaran, Mohsen |
collection | PubMed |
description | As the adoption of Industry 4.0 advances and the manufacturing process becomes increasingly digital, the Digital Twin (DT) will prove invaluable for testing and simulating new parameters and design variants. DT solutions build a 3D digital replica of the physical object allowing the managers to develop better products, detect physical issues sooner, and predict outcomes more accurately. In the past few years, Digital Twins (DTs) dramatically reduced the cost of developing new manufacturing approaches, improved efficiency, reduced waste, and minimized batch-to-batch variability. This paper aims to highlight the evolution of DTs, review its enabling technologies, identify challenges and opportunities for implementing DT in Industry 4.0, and examine its range of applications in manufacturing, including smart logistics and supply chain management. The paper also highlights some real examples of the application of DT in manufacturing. |
format | Online Article Text |
id | pubmed-10246533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-102465332023-06-08 The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0 Attaran, Mohsen Attaran, Sharmin Celik, Bilge Gokhan Adv Comput Intell Original Article As the adoption of Industry 4.0 advances and the manufacturing process becomes increasingly digital, the Digital Twin (DT) will prove invaluable for testing and simulating new parameters and design variants. DT solutions build a 3D digital replica of the physical object allowing the managers to develop better products, detect physical issues sooner, and predict outcomes more accurately. In the past few years, Digital Twins (DTs) dramatically reduced the cost of developing new manufacturing approaches, improved efficiency, reduced waste, and minimized batch-to-batch variability. This paper aims to highlight the evolution of DTs, review its enabling technologies, identify challenges and opportunities for implementing DT in Industry 4.0, and examine its range of applications in manufacturing, including smart logistics and supply chain management. The paper also highlights some real examples of the application of DT in manufacturing. Springer International Publishing 2023-06-07 2023 /pmc/articles/PMC10246533/ /pubmed/37305021 http://dx.doi.org/10.1007/s43674-023-00058-y Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Attaran, Mohsen Attaran, Sharmin Celik, Bilge Gokhan The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0 |
title | The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0 |
title_full | The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0 |
title_fullStr | The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0 |
title_full_unstemmed | The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0 |
title_short | The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0 |
title_sort | impact of digital twins on the evolution of intelligent manufacturing and industry 4.0 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246533/ https://www.ncbi.nlm.nih.gov/pubmed/37305021 http://dx.doi.org/10.1007/s43674-023-00058-y |
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