TY - JOUR
T1 - Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems
AU - Leng, Jiewu
AU - Zhou, Man
AU - Xiao, Yuxuan
AU - Zhang, Hu
AU - Liu, Qiang
AU - Shen, Weiming
AU - Su, Qianyi
AU - Li, Longzhang
PY - 2021/7/15
Y1 - 2021/7/15
N2 - 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.
AB - 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.
KW - COVID-19 pandemic
KW - Digital twins
KW - Manufacturing system commissioning
KW - Remote semi-physical commissioning
KW - Smart manufacturing
UR - http://www.scopus.com/inward/record.url?scp=85106537747&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85106537747&origin=recordpage
U2 - 10.1016/j.jclepro.2021.127278
DO - 10.1016/j.jclepro.2021.127278
M3 - RGC 21 - Publication in refereed journal
C2 - 35035124
SN - 0959-6526
VL - 306
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 127278
ER -