Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint

Recent years have seen a great deal of attention in energy conservation for production and manufacturing activities, particularly for energy-intensive industries. One of the useful strategies in reducing unnecessary energy consumption is to schedule these activities by considering both energy-driven...

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Vydáno v:	Journal of cleaner production Ročník 226; s. 515 - 525
Hlavní autoři:	Fu, Yaping, Tian, Guangdong, Fathollahi-Fard, Amir Mohammad, Ahmadi, Abbas, Zhang, Chaoyong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 20.07.2019
Témata:	algorithms Brain storm optimization decision making Distributed permutation flow shop scheduling employment energy conservation Energy consumption energy use and consumption Stochastic multi-objective optimization Stochastic simulation system optimization uncertainty Energy consumption Stochastic simulation Stochastic multi-objective optimization Distributed permutation flow shop scheduling Brain storm optimization
ISSN:	0959-6526, 1879-1786
On-line přístup:	Získat plný text
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