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Hybrid simulation and ga for a flexible flow shop problem with variable processors and re-entrant flow

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dc.creatorMendez-Giraldo G.spa
dc.creatorAlvarez-Pomar L.spa
dc.creatorFranco Franco, Carlos Albertospa
dc.date.accessioned2020-05-26T00:05:04Z
dc.date.available2020-05-26T00:05:04Z
dc.date.created2018spa
dc.description.abstractThe problem of FFSP (Flexible Flow Shop Problem) has been sufficiently investigated due to its importance for production programming and control, although many of the solution methods have been based on GA (Genetic Algorithm) and simulation, these techniques have been used in deterministic environments and under specific conditions of the problem, that is, complying with restrictions given in the Graham notation. In this paper we describe an application of these techniques to solve a very particular case where manual work stations and equipment with different degrees of efficiency, technological restrictions, recirculation process are used. The nesting of the GA is used within a simulation process. It is showed that the method proposed in adjustment and efficiency is better compared with other heuristics, in addition to the benefits of using different techniques in series to solve problems of real manufacturing environments. © 2018, Springer Nature Switzerland AG.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1007/978-3-030-00350-0_21
dc.identifier.issn18650929
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/23750
dc.language.isoengspa
dc.publisherSpringer Verlagspa
dc.relation.citationEndPage256
dc.relation.citationStartPage246
dc.relation.citationTitleCommunications in Computer and Information Science
dc.relation.citationVolumeVol. 915
dc.relation.ispartofCommunications in Computer and Information Science, ISSN:18650929, Vol.915,(2018); pp. 246-256spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85054092354&doi=10.1007%2f978-3-030-00350-0_21&partnerID=40&md5=d392728649c3f2134c0dbe1d03eee401spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordEfficiencyspa
dc.subject.keywordGenetic algorithmsspa
dc.subject.keywordHeuristic methodsspa
dc.subject.keywordMachine shop practicespa
dc.subject.keywordFlexible flow-shop problemsspa
dc.subject.keywordGA (genetic algorithm)spa
dc.subject.keywordHybrid simulationspa
dc.subject.keywordManufacturing environmentsspa
dc.subject.keywordParallel machinespa
dc.subject.keywordRecirculation processspa
dc.subject.keywordSimulationspa
dc.subject.keywordSimulation processspa
dc.subject.keywordProblem solvingspa
dc.subject.keywordFlexible workshop programmingspa
dc.subject.keywordGenetic algorithmspa
dc.subject.keywordParallel machinesspa
dc.subject.keywordProcess re-entryspa
dc.subject.keywordSimulationspa
dc.titleHybrid simulation and ga for a flexible flow shop problem with variable processors and re-entrant flowspa
dc.typeconferenceObjecteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaDocumento de conferenciaspa
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