Estrategias de optimización bi-objetivo para el proceso de pesaje multicabezal

dc.contributor.authorPulido-Rojano, Alexander D.
dc.contributor.authorGarcía-Díaz, J. Carlos
dc.date.accessioned2019-03-27T15:24:57Z
dc.date.available2019-03-27T15:24:57Z
dc.date.issued2019
dc.description.abstractMultihead weighing processes are considered an important strategy in packaging companies. Multihead weighers are used for dosing a wide range of products, from granules to large products. The packaging process consists of choosing a subset of hoppers in the multihead weigher to form a product package. This paper proposes a set of filling strategies of hoppers to reduce the variability in the weight of the produced packages. The strategies are evaluated through a bi-objective optimization approach which aims to minimize the absolute difference between the target weight and the actual weight of the packages, while trying to maximize the selection of those hoppers with more time in the packaging system. In the bi-objective approach, the considered objectives are dynamically adjusted and managed in each packaging operation. In addition, the mathematical model and the packing algorithm are developed and presented. The results of the process performance parameters are obtained and analyzed to show the effectiveness of the proposed strategies. Also, conditions of minimum variability are identified and those can be used by the packaging industry where multihead weighers are used.eng
dc.description.abstractLos procesos de pesaje multicabezal son actualmente considerados una estrategia importante en empresas de envasado. Maquinas pesadoras multicabezal son utilizadas para la dosificación de amplia gama de productos, desde granulados a productos de gran tamaño. El proceso de envasado consiste en la selección de un subconjunto de tolvas en la pesadora multicabezal para formar un paquete de producto. La presente investigación propone un conjunto de estrategias de llenado de tolvas para reducir la variabilidad en el peso de los paquetes producidos. Las estrategias son evaluadas mediante un enfoque de optimización bi-objeivo que busca minimizar la diferencia absoluta entre el peso objetivo y el peso real de los paquetes, al tiempo que intenta maximizar la selección de aquellas tolvas con mayor tiempo en el sistema de envasado. En el enfoque biobjetivo, los objetivos considerados son dinámicamente ajustados y gestionados en cada operación de envasado. Además, el modelo matemático que representa nuestro problema y el algoritmo de envasado son desarrollados y presentados. Los resultados de los parámetros de rendimiento del proceso son obtenidos y analizados como una medida de la efectividad de las estrategias propuestas. Asimismo, las condiciones de mínima variabilidad son identificadas para motivar su uso en la industria de envasado de producto en donde se utilicen máquinas de pesaje multicabezal.spa
dc.identifier.issn02574306
dc.identifier.urihttp://hdl.handle.net/20.500.12442/2842
dc.language.isospaspa
dc.publisherUniversidad de la Habana. Facultad de Matemática y Computación. Departamento de Matemática Aplicadaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseLicencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacionalspa
dc.sourceRevista Investigación Operacionalspa
dc.sourceVol. 40, N°3 (2019)spa
dc.source.urihttps://rev-inv-ope.univ-paris1.fr/fileadmin/rev-inv-ope/files/40319/40319-06.pdfspa
dc.subjectBi-objective optimizationeng
dc.subjectMultihead weighing processeng
dc.subjectSetting of hopperseng
dc.subjectReduction of variabilityeng
dc.subjectOptimización bi-objeivospa
dc.subjectProceso de pesaje multicabezalspa
dc.subjectConfiguración de llenado de tolvasspa
dc.subjectReducción de Variabilidadspa
dc.titleEstrategias de optimización bi-objetivo para el proceso de pesaje multicabezalspa
dc.typearticlespa
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