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

Jiewu Leng, Man Zhou, Yuxuan Xiao, Hu Zhang, Qiang Liu*, Weiming Shen, Qianyi Su, Longzhang Li

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

152 Citations (Scopus)

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.
Original languageEnglish
Article number127278
JournalJournal of Cleaner Production
Volume306
Online published26 Apr 2021
DOIs
Publication statusPublished - 15 Jul 2021

Research Keywords

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

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