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Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems
The COVID-19 has become a global pandemic that dramatically impacted human lives and economic activities. Due to the high risk of getting affected in high-density population areas and the implementation of national emergency measures under the COVID-19 pandemic, both travel and transportation among...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740749/ https://www.ncbi.nlm.nih.gov/pubmed/35035124 http://dx.doi.org/10.1016/j.jclepro.2021.127278 |
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author | Leng, Jiewu Zhou, Man Xiao, Yuxuan Zhang, Hu Liu, Qiang Shen, Weiming Su, Qianyi Li, Longzhang |
author_facet | Leng, Jiewu Zhou, Man Xiao, Yuxuan Zhang, Hu Liu, Qiang Shen, Weiming Su, Qianyi Li, Longzhang |
author_sort | Leng, Jiewu |
collection | PubMed |
description | The COVID-19 has become a global pandemic that dramatically impacted human lives and economic activities. Due to the high risk of getting affected in high-density population areas and the implementation of national emergency measures under the COVID-19 pandemic, both travel and transportation among cities become difficult for engineers and equipment. Consequently, the costly physical commissioning of a new manufacturing system is greatly hindered. As an emerging technology, digital twins can achieve semi-physical simulation to avoid the vast cost of physical commissioning of the manufacturing system. Therefore, this paper proposes a digital twins-based remote semi-physical commissioning (DT-RSPC) approach for open architecture flow-type smart manufacturing systems. A digital twin system is developed to enable the remote semi-physical commissioning. The proposed approach is validated through a case study of digital twins-based remote semi-physical commissioning of a smartphone assembly line. The results showed that combining the open architecture design paradigm with the proposed digital twins-based approach makes the commissioning of a new flow-type smart manufacturing system more sustainable. |
format | Online Article Text |
id | pubmed-8740749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87407492022-01-10 Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems Leng, Jiewu Zhou, Man Xiao, Yuxuan Zhang, Hu Liu, Qiang Shen, Weiming Su, Qianyi Li, Longzhang J Clean Prod Article The COVID-19 has become a global pandemic that dramatically impacted human lives and economic activities. Due to the high risk of getting affected in high-density population areas and the implementation of national emergency measures under the COVID-19 pandemic, both travel and transportation among cities become difficult for engineers and equipment. Consequently, the costly physical commissioning of a new manufacturing system is greatly hindered. As an emerging technology, digital twins can achieve semi-physical simulation to avoid the vast cost of physical commissioning of the manufacturing system. Therefore, this paper proposes a digital twins-based remote semi-physical commissioning (DT-RSPC) approach for open architecture flow-type smart manufacturing systems. A digital twin system is developed to enable the remote semi-physical commissioning. The proposed approach is validated through a case study of digital twins-based remote semi-physical commissioning of a smartphone assembly line. The results showed that combining the open architecture design paradigm with the proposed digital twins-based approach makes the commissioning of a new flow-type smart manufacturing system more sustainable. Elsevier Ltd. 2021-07-15 2021-04-26 /pmc/articles/PMC8740749/ /pubmed/35035124 http://dx.doi.org/10.1016/j.jclepro.2021.127278 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Leng, Jiewu Zhou, Man Xiao, Yuxuan Zhang, Hu Liu, Qiang Shen, Weiming Su, Qianyi Li, Longzhang Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems |
title | Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems |
title_full | Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems |
title_fullStr | Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems |
title_full_unstemmed | Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems |
title_short | Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems |
title_sort | digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740749/ https://www.ncbi.nlm.nih.gov/pubmed/35035124 http://dx.doi.org/10.1016/j.jclepro.2021.127278 |
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