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Análisis multi-objetivo del problema de asignación del buffer con meta-modelos de simulación y una metaheurística híbrida

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Análisis multi-objetivo del problema de asignación del buffer con meta-modelos de simulación y una metaheurística híbrida

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dc.contributor.author Hernández-Vázquez, José Omar es_ES
dc.contributor.author Hernández-González, Salvador es_ES
dc.contributor.author Hernández-Vázquez, José Israel es_ES
dc.contributor.author Jiménez-García, José Alfredo es_ES
dc.contributor.author Hernández-Ripalda, Manuel Darío es_ES
dc.date.accessioned 2022-05-24T09:29:10Z
dc.date.available 2022-05-24T09:29:10Z
dc.date.issued 2022-04-01
dc.identifier.issn 1697-7912
dc.identifier.uri http://hdl.handle.net/10251/182827
dc.description.abstract [EN] This article presents a multi-objective formulation of the buffer allocation problem (BAP) in a serial-parallel production line, which aims to maximize the throughput rate and minimize the total cost of the allocation of buffers. Three case studies involving operating conditions are analyzed: reliable, unreliable and reprocesses. Process times, times between failures and repair times, consider distribution functions: Exponential, Normal and Weibull. The evaluation method used in this document implies simulation meta-models constructed from experiment designs and production line simulations. On the other hand, the optimization method implemented is a hybrid metaheuristic of Genetic Algorithms and Simulated Annealing. The results report the allocation of buffers in the case studies, their impact on the objectives and the computational efficiency of the proposed hybrid algorithm. es_ES
dc.description.abstract [ES] Este artículo presenta una formulación multi-objetivo del problema de asignación del buffer (BAP, por sus siglas en inglés) en una línea de producción paralela en serie, que pretende maximizar la tasa promedio de producción y minimizar el costo total de la asignación de buffers. Se analizan tres casos de estudio que involucran condiciones de operación: confiables, no confiables y reprocesos. Los tiempos de proceso, tiempos entre fallas y tiempos de reparación, consideran funciones de distribución: Exponencial, Normal y Weibull. El método de evaluación empleado en este documento, implica meta-modelos de simulación construidos a partir de diseños de experimentos y simulaciones de la línea de producción; por su parte, el método de optimización implementado, es una metaheurística híbrida de Algoritmos Genéticos (AG) y Recocido Simulado (RS). Los resultados reportan la asignación de buffers en los casos de estudio, su impacto en los objetivos y la eficiencia computacional del algoritmo híbrido propuesto. es_ES
dc.description.sponsorship Se agradece al Consejo Nacional de Ciencia y Tecnología (CONACYT) por el financiamiento de esta investigación con número de registro CVU: 375571; y al Tecnológico Nacional de México / Instituto Tecnológico de Celaya, por el apoyo brindado. Finalmente, un reconocimiento a Juana Cinthia Lizbeth Nava Torres, Rafael Paniagua Soto y Juan Pablo Gallardo Ochoa por su ayuda en la fase de programación. es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Revista Iberoamericana de Automática e Informática industrial es_ES
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Buffer allocation problem (BAP) es_ES
dc.subject Meta-models es_ES
dc.subject Hybrid metaheuristic es_ES
dc.subject Optimization es_ES
dc.subject Production line es_ES
dc.subject Problema de asignación del buffer es_ES
dc.subject Meta-modelos es_ES
dc.subject Metaheurística híbrida es_ES
dc.subject Optimización es_ES
dc.subject Línea de producción es_ES
dc.title Análisis multi-objetivo del problema de asignación del buffer con meta-modelos de simulación y una metaheurística híbrida es_ES
dc.title.alternative Multi-objective analysis of the buffer allocation problem with simulation meta-models and a hybrid metaheuristic es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/riai.2021.15731
dc.relation.projectID info:eu-repo/grantAgreement/CONACyT//375571/
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Hernández-Vázquez, JO.; Hernández-González, S.; Hernández-Vázquez, JI.; Jiménez-García, JA.; Hernández-Ripalda, MD. (2022). Análisis multi-objetivo del problema de asignación del buffer con meta-modelos de simulación y una metaheurística híbrida. Revista Iberoamericana de Automática e Informática industrial. 19(2):221-232. https://doi.org/10.4995/riai.2021.15731 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/riai.2021.15731 es_ES
dc.description.upvformatpinicio 221 es_ES
dc.description.upvformatpfin 232 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 19 es_ES
dc.description.issue 2 es_ES
dc.identifier.eissn 1697-7920
dc.relation.pasarela OJS\15731 es_ES
dc.contributor.funder Consejo Nacional de Ciencia y Tecnología, México es_ES
dc.contributor.funder Tecnológico Nacional de México es_ES
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