Journal
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, PT V
Volume 634, Issue -, Pages 596-604Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-030-85914-5_63
Keywords
Operation twins; Production-intralogistics synchronization; Production and operations management; Real-time visibility and traceability; Industry 4.0; Smart manufacturing
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Funding
- National Key R&D Program of China [2019YFB1705401]
- HKSAR RGC GRF Project [17203518]
- 2019 Guangdong Special Support Talent Program Innovation and Entrepreneurship Leading Team (China) [2019BT02S593]
- 2018 Guangzhou Leading Innovation Team Program [201909010006]
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The widespread adoption of Industry 4.0 technologies in factories is transforming manufacturing operations management. Real-time data are acknowledged as beneficial for this management, and utilizing these data to facilitate production and intralogistics operations is an emerging challenge. This study proposes the concept of operation twins for achieving synchronized PiL operations based on three dimensions of synchronization.
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).
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