Deep Reinforcement Learning-Based Dynamic Reconfiguration Planning for Digital Twin-Driven Smart Manufacturing Systems With Reconfigurable Machine Tools

Smart manufacturing systems are a new paradigm in Industry 4.0 driven by the emerging information and communication technology and artificial intelligence that converge to digital twin, which are able to perceive, recognize, and handle the changes in demand and production. Reconfigurable machine too...

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Veröffentlicht in:	IEEE transactions on industrial informatics Jg. 20; H. 11; S. 13135 - 13146
Hauptverfasser:	Huang, Jintang, Huang, Sihan, Moghaddam, Shokraneh K., Lu, Yuqian, Wang, Guoxin, Yan, Yan, Shi, Xuejiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.11.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial intelligence Deep learning Deep reinforcement learning digital twin Digital twins Flexibility Industry 4.0 Machine tools Manufacturing Manufacturing systems Optimization Planning Production reconfigurable machine tools (RMTs) Reconfiguration reconfiguration planning Smart manufacturing smart manufacturing systems
ISSN:	1551-3203, 1941-0050
Online-Zugang:	Volltext
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