DYNAMIC SCHEDULING OF MANUFACTURING SYSTEMS WITH MACHINE LEARNING

DOI10.1142/S0129054101000849zbMath1320.90033WikidataQ62038337 ScholiaQ62038337MaRDI QIDQ5249288

Paolo Priore, Javier Puente, David de la Fuente, Alberto Gomez

Publication date: 30 April 2015

Published in: International Journal of Foundations of Computer Science (Search for Journal in Brave)

zbMATH Keywords

manufacturing systemsmachine learningdiscrete simulationdynamic schedulingdispatching rules

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Deterministic scheduling theory in operations research (90B35)

Cites Work

• A transient-based real-time scheduling algorithm in FMS
• Dynamic scheduling system utilizing machine learning as a knowledge acquisition tool
• Job shop scheduling with a genetic algorithm and machine learning
• A learning-based methodology for dynamic scheduling in distributed manufacturing systems

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