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

Authors :
Leng, Jiewu
Zhou, Man
Xiao, Yuxuan
Zhang, Hu
Liu, Qiang
Shen, Weiming
Su, Qianyi
Li, Longzhang
Source :
Journal of Cleaner Production. Jul2021, Vol. 306, pN.PAG-N.PAG. 1p.
Publication Year :
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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09596526
Volume :
306
Database :
Academic Search Index
Journal :
Journal of Cleaner Production
Publication Type :
Academic Journal
Accession number :
150575163
Full Text :
https://doi.org/10.1016/j.jclepro.2021.127278