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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Vydané v:	Engineering computations Ročník 40; číslo 9/10; s. 2693 - 2729
Hlavní autori:	Wang, Zhu, Hu, Hongtao, Liu, Tianyu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bradford Emerald Publishing Limited 05.12.2023 Emerald Group Publishing Limited
Predmet:	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
On-line prístup:	Získať plný text
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