Multi-objective adaptive large neighbourhood search algorithm for dynamic flexible job shop schedule problem with transportation resource

Strong coupling between autonomous transportation and production activities deeply influences planning and scheduling in smart factories, particularly in dynamic environments with rapid changes. This study addresses the dynamic flexible job shop schedule problem with transportation resources (DFJSPT...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 132; S. 107917
Hauptverfasser:	Liu, Jiaojiao, Sun, Baofeng, Li, Gendao, Chen, Yuqi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2024
Schlagworte:	Dynamic scheduling Multi-objective adaptive large neighbourhood search algorithm (MOALNS) Multi-objective mixed-integer programming New job insertion Transportation resource New job insertion Multi-objective mixed-integer programming Dynamic scheduling Multi-objective adaptive large neighbourhood search algorithm (MOALNS) Transportation resource
ISSN:	0952-1976
Online-Zugang:	Volltext
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