Iterated-local-search-based chaotic differential evolution algorithm for hybrid-load part feeding scheduling optimization in mixed-model assembly lines

PurposeDriven by sustainable production, mobile robots are introduced as a new clean-energy material handling tool for mixed-model assembly lines (MMALs), which reduces energy consumption and lineside inventory of workstations (LSI). Nevertheless, the previous part feeding scheduling method was desi...

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Veröffentlicht in:	Engineering computations Jg. 40; H. 9/10; S. 2693 - 2729
Hauptverfasser:	Wang, Zhu, Hu, Hongtao, Liu, Tianyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bradford Emerald Publishing Limited 05.12.2023 Emerald Group Publishing Limited
Schlagworte:	Algorithms Assembly lines Automation Automobiles Clean energy Clean technology Design Distribution costs Effectiveness Efficiency Energy consumption Evolutionary algorithms Evolutionary computation Integer programming Layouts Literature reviews Manufacturing Materials handling Mixed integer Multiple objective analysis Optimization Pareto optimization Robots Scheduling Work stations Workstations Mixed-model assembly lines Greening scheduling Mobile robot Part feeding
ISSN:	0264-4401, 1758-7077
Online-Zugang:	Volltext
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