Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

1 Scopus Citations
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Author(s)

  • Weiming Shen
  • Qianyi Su
  • Longzhang Li

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number127278
Journal / PublicationJournal of Cleaner Production
Volume306
Online published26 Apr 2021
Publication statusPublished - 15 Jul 2021

Abstract

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.

Research Area(s)

  • COVID-19 pandemic, Digital twins, Manufacturing system commissioning, Remote semi-physical commissioning, Smart manufacturing

Citation Format(s)

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.

In: Journal of Cleaner Production, Vol. 306, 127278, 15.07.2021.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review