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Titel:

Artificial Intelligence Planning of Failure Recovery Strategies in Discrete Manufacturing Automation

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Lei, Yumeng; Wilch, Jan; Rupprecht, Bernhard; Vogel-Heuser, Birgit
Abstract:
As discrete manufacturing tends to be small batch and customized, automated Production Systems (aPS) must be more flexible to adapt to the variety of products, which makes the aPS more complex and error-prone. To increase system efficiency and reduce downtime caused by manual intervention, strategies for automatic recovery are required. Currently, automatic recovery is fulfilled by portions of the control software that treat selected failures, which have been planned and implemented at design-ti...     »
Kongress- / Buchtitel:
19th International Conference on Automation Science and Engineering (CASE)
Verlagsort:
Cordis, New Zealand
Jahr:
2023
Monat:
August
Seiten:
1--8
Volltext / DOI:
doi:10.1109/CASE56687.2023.10260528
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