TY - GEN
T1 - Operation Twins: Synchronized Production-Intralogistics for Industry 4.0 Manufacturing
AU - Li, Mingxing
AU - Guo, Daqiang
AU - Huang, George Q.
N1 - Funding Information:
Acknowledgments. The authors would like to acknowledge partial financial supports from funding sources, including National Key R&D Program of China No. 2019YFB1705401, HKSAR RGC GRF Project (17203518), the 2019 Guangdong Special Support Talent Program – Innovation and Entrepreneurship Leading Team (China) (2019BT02S593), and 2018 Guangzhou Leading Innovation Team Program (201909010006).
Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.
PY - 2021/8/31
Y1 - 2021/8/31
N2 - The widespread adoption of Industry 4.0 technologies in factories are transforming manufacturing operations management. Multiple resources are interconnected, massive data are real-timely collected by smart devices to provide visibility and traceability. It is generally acknowledged that real-time data are beneficial for manufacturing operations management. How to utilize these data for facilitating production and intralogistics (PiL) operations management is an emerging challenge. This study proposes a new concept, operation twins, for achieving synchronized PiL operations based on three dimensions of synchronization (cyber-physical synchronization, spatial-temporal synchronization, and data-driven decisions synchronization).
AB - The widespread adoption of Industry 4.0 technologies in factories are transforming manufacturing operations management. Multiple resources are interconnected, massive data are real-timely collected by smart devices to provide visibility and traceability. It is generally acknowledged that real-time data are beneficial for manufacturing operations management. How to utilize these data for facilitating production and intralogistics (PiL) operations management is an emerging challenge. This study proposes a new concept, operation twins, for achieving synchronized PiL operations based on three dimensions of synchronization (cyber-physical synchronization, spatial-temporal synchronization, and data-driven decisions synchronization).
KW - Industry 4.0
KW - Operation twins
KW - Production and operations management
KW - Production-intralogistics synchronization
KW - Real-time visibility and traceability
KW - Smart manufacturing
UR - https://www.scopus.com/pages/publications/85115332072
U2 - 10.1007/978-3-030-85914-5_63
DO - 10.1007/978-3-030-85914-5_63
M3 - Conference article published in proceeding or book
AN - SCOPUS:85115332072
SN - 9783030859138
T3 - IFIP Advances in Information and Communication Technology
SP - 596
EP - 604
BT - Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings
A2 - Dolgui, Alexandre
A2 - Bernard, Alain
A2 - Lemoine, David
A2 - von Cieminski, Gregor
A2 - Romero, David
PB - Springer Science and Business Media Deutschland GmbH
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021
Y2 - 5 September 2021 through 9 September 2021
ER -