A Digital Twin-based Automatic Programming Method for Adaptive Control of Manufacturing Cells

The booming personalized and customized demands of customers in Industry 4.0 pose great challenges for manufacturing enterprises in terms of flexibility and responsiveness. Nowadays, many effective dynamic scheduling approaches have been proposed for manufacturing systems to quickly respond to chang...

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Veröffentlicht in:	IEEE access Jg. 10; S. 1
Hauptverfasser:	Zhang, Chao, Zhou, Guanghui, Jing, Yanzhen, Wang, Rui, Chang, Fengtian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptation models Adaptive control Aerospace electronics Automatic programming Behavior model Customers Digital twin Digital twins Dynamic scheduling Event model Flexibility Industrial applications Industry 4.0 Job shop scheduling Manufacturing Programming Scheduling System effectiveness Task scheduling
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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