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dc.creatorBasán, Natalia P.
dc.creatorCóccola, Mariana Evangelina
dc.creatorGarcía del Valle, Alejandro
dc.creatorMéndez, Carlos Alberto
dc.date.accessioned2021-06-16T13:31:33Z
dc.date.available2021-06-16T13:31:33Z
dc.date.issued2020-05-08
dc.identifier.citationComputers & Chemical Engineering. 136 (2020)es_ES
dc.identifier.issn0098-1354
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0098135419311147
dc.identifier.urihttp://hdl.handle.net/20.500.12272/5254
dc.description.abstractIn the last years, the operational research on scheduling problems has been moving away from rigorous optimization approaches into solution strategies being capable of returning practical and fast solutions for large-scale industrial problems. Following this line, this paper proposes a novel MILP-based decompo sition procedure for solving scheduling problems arising in flexible manufacturing environments, which generally involve multipurpose units and assembly operations. The solution strategy also considers re design constraints with the goal of improving the efficiency of the production system, preventing bottle necks and balancing the equipment utilization. The proposal is validated through the resolution of several instances derived from three real-world case-studies coming from different industrial sectors. The com putational results show that the decomposition procedure is capable of generating high quality solutions, sometimes the optimal one, with minimum computational effort for all problem instances considered.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.rights.uriAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.sourceComputers & Chemical Engineering 136, 1-21. (2020)es_ES
dc.subjectScheduling problemes_ES
dc.subjectMILP modeles_ES
dc.subjectDecomposition procedurees_ES
dc.subjectRedesign problemes_ES
dc.subjectMultipurpose unitses_ES
dc.titleScheduling of flexible manufacturing plants with redesign options : a MILP-based decomposition algorithm and case studieses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderBasán, Natalia P. ; Cóccola, Mariana Evangelina ; García del Valle, Alejandro ; Méndez, Carlos Albertoes_ES
dc.description.affiliationFil: Basán, Natalia P. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_ES
dc.description.affiliationFil: Cóccola, Mariana Evangelina.Universidad Tecnológica Nacional. Facultad Regional Concepción del Uruguay; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina.es_ES
dc.description.affiliationFil: García del Valle, Alejandro. Universidade da Coruña; España.es_ES
dc.description.affiliationFil: Méndez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina.es_ES
dc.description.affiliationFil: Basán, Natalia P. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina.
dc.description.peerreviewedPeer Reviewedes_ES
dc.type.versionpublisherVersiones_ES
dc.rights.useNo comercial con fines académicos.es_ES
dc.identifier.doihttps://doi.org/10.1016/j.compchemeng.2020.106777


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