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An efficiency improvement of flexible flow shop scheduling in automotive part company

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dc.contributor.authorFangrit W.en_US
dc.contributor.authorYap H.J.en_US
dc.contributor.authorHamza M.F.en_US
dc.contributor.authorChang S.-W.en_US
dc.contributor.authorYap K.S.en_US
dc.contributor.authorWong S.Y.en_US
dc.contributor.authorid57221598080en_US
dc.contributor.authorid35319362200en_US
dc.contributor.authorid56801415000en_US
dc.contributor.authorid55276259900en_US
dc.contributor.authorid24448864400en_US
dc.contributor.authorid55812054100en_US
dc.date.accessioned2023-05-29T08:11:58Z
dc.date.available2023-05-29T08:11:58Z
dc.date.issued2020
dc.descriptionComputer software; Machine shop practice; Tabu search; Automotive parts; Earliest due dates; Efficiency improvement; Flexible flow shop; Heuristic solutions; Hybrid tabu search; Scheduling methods; Simulation software; Schedulingen_US
dc.description.abstractFlexible flow shop is becoming more interested and applied in industries due to its impact from higher workloads. Flexible flow shop scheduling problem is focused to minimize the makespan. A metaheuristic model based on Hybrid Tabu Search is developed to overcome this problem. Firstly, Hybrid Tabu Search is modelled based on the factory data. The Earliest Due Date rule is used as the scheduling method for the current status. FlexSim simulation software is used to evaluate the Hybrid Tabu Search model. The outcome is validated with two different basic heuristic solutions; Campbell, Dudek and Smith's and Gupta's heuristics. It is found that the proposed model can improve the job sequence based on makespan criteria. � 2020-IOS Press and the authors. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.3233/IDT-200006
dc.identifier.epage506
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85099591413
dc.identifier.spage493
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85099591413&doi=10.3233%2fIDT-200006&partnerID=40&md5=72a0fdee70daf23cec16d496c0195528
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25631
dc.identifier.volume14
dc.publisherIOS Press BVen_US
dc.sourceScopus
dc.sourcetitleIntelligent Decision Technologies
dc.titleAn efficiency improvement of flexible flow shop scheduling in automotive part companyen_US
dc.typeArticleen_US
dspace.entity.typePublication
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