A new boredom-aware dual-resource constrained flexible job shop scheduling problem using a two-stage multi-objective particle swarm optimization algorithm

Dual-resource constrained flexible job shop scheduling problem has become a hot research field in recent years. However, few studies have considered workers’ boredom sensations when allocating resources and scheduling tasks, leading to inappropriate task allocation and negative effects such as effic...

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Veröffentlicht in:	Information sciences Jg. 643; S. 119141
Hauptverfasser:	Shi, Jiaxuan, Chen, Mingzhou, Ma, Yumin, Qiao, Fei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.09.2023
Schlagworte:	Dual-resource constrained flexible job shop scheduling problem Lexicographic method Particle swarm optimization algorithm Two-stage multi-objective optimization algorithm Workers’ boredom sensations Two-stage multi-objective optimization algorithm Dual-resource constrained flexible job shop scheduling problem Workers’ boredom sensations Lexicographic method Particle swarm optimization algorithm
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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