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Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/146
DC FieldValueLanguage
dc.contributor.authorDang Quang Vinhen_US
dc.contributor.authorNguyen Qui Lamen_US
dc.date.accessioned2020-03-12T16:56:02Z-
dc.date.available2020-03-12T16:56:02Z-
dc.date.issued2017-
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/146-
dc.description.abstractModern manufacturing models demand customisation and service orientation. The generations of mobile robots will hence have to cope with more complex tasks and rapidly adapt to new situations. With the high level of flexibility, the mobile robots are able to not only transport materials as conventional transporting robots, but also perform manufacturing tasks at some certain machines using their mounted manipulation arms. This paper considers the problem of simultaneous scheduling of machines and such mobile robots in a flexible manufacturing system. The pre-emption occurs when manufacturing tasks are interrupted to allow the mobile robots to carry out the transport. The performance criterion is to minimise the makespan. A genetic-algorithm-based heuristic is developed to find near-optimal solutions. To evaluate the performance of the proposed heuristic, a mixed-integer programming model is also presented. A numerical example and computational experiments are conducted to demonstrate the effectiveness of the proposed approaches.en_US
dc.language.isoenen_US
dc.publisherInderscience Publishersen_US
dc.relation.ispartofseries·International Journal of Metaheuristics;Vol. 6 (1-2)-
dc.subjectEvolutionary algorithmsen_US
dc.subjectFlexible manufacturing systemsen_US
dc.subjectMixed integer programmingen_US
dc.subjectMobile robotsen_US
dc.subjectMachine schedulingen_US
dc.subjectSimultaneous schedulingen_US
dc.titleMakespan minimization for preemptive scheduling of mobile robots in FMS environmenten_US
dc.typeArticleen_US
dc.identifier.doi10.1504/IJMHEUR.2017.083094-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.languageiso639-1other-
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