Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology

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dc.creatorStürtz, Josías A.
dc.creatorMarchetti, Pablo A.
dc.creator.orcid0000-0003-1660-2180es_ES
dc.date.accessioned2024-03-26T22:55:12Z
dc.date.available2024-03-26T22:55:12Z
dc.date.issued2021-05-12
dc.description.abstractThis work presents a mathematical-algorithmic methodology to handle scheduling decisions on multiproduct multistage batch facilities, developed with the aim to solve problems of industrial size. The proposal is based on the iterative construction of a solution by solving a sequence of subproblems associated to each stage, identifying and fixing the critical decisions at each step, and keeping rigorous information on the bounds. The methodology is applied to a real case study obtaining good quality solutions in competitive computing times.es_ES
dc.description.affiliationFil: Stürtz, Josías A. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; Argentina.es_ES
dc.description.affiliationFil: Marchetti, Pablo A. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; Argentina.es_ES
dc.description.affiliationFil: Marchetti, Pablo A. CONICET-UNL. Instituto de Desarrollo Tecnológico para la Industria Química (INTEC); Argentina.es_ES
dc.formatpdfes_ES
dc.identifier.citationStürtz, J. A.; Marchetti, P. A. (9-11 de Diciembre de 2020). Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology. Xth International Conference of Production Research - Americas 2020 (ICPR-Americas 2020). Universidad Nacional del Sur, Bahía Blanca, Argentina. pp. 171–176es_ES
dc.identifier.doi10.1007/978-3-030-76307-7_13
dc.identifier.urihttp://hdl.handle.net/20.500.12272/10167
dc.language.isoenges_ES
dc.publisherICPR-Americas 2020es_ES
dc.relation.projectidSIUTIFE0007768TC - Optimización de la Producción en la Industria de Procesos: Modelos y Herramientas Competitivas para Problemas de Tamaño Industriales_ES
dc.rightsopenAccesses_ES
dc.rights.holderLos autoreses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.rights.uriAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.useCreativeCommonses_ES
dc.subjectMultiproduct batch plantses_ES
dc.subjectSchedulinges_ES
dc.subjectOptimizationes_ES
dc.titleEfficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodologyes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.type.versionacceptedVersiones_ES

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