Modelo de Programación Lineal Entera Mixta para la Programación de Sistemas tipo Job-Shop Flexible en Entornos Make to Order

Mixed integer lineal programming model to schedule flexible jobshop systems in make to order environments

dc.creatorOrtiz Gaitán, Sebastián Enrique
dc.creatorRodrigo Ruiz, Carlos
dc.date2019-02-13T19:57:27Z
dc.date2019-02-13T19:57:27Z
dc.date2017-06-30
dc.date.accessioned2023-10-03T19:31:19Z
dc.date.available2023-10-03T19:31:19Z
dc.identifierS.E. Ortiz Gaitán y C.R. Ruiz Cruz. “Modelo de Programación Lineal Entera Mixta para la Programación de Sistemas tipo Job-Shop Flexible en Entornos Make to Order” INGE CUC, vol. 13, no. 2, pp. 28-34, 2017 DOI: http://dx.doi.org/10.17981/ingecuc.13.2.2017.03
dc.identifierhttp://hdl.handle.net/11323/2452
dc.identifierhttps://doi.org/10.17981/ingecuc.13.2.2017.03
dc.identifier10.17981/ingecuc.13.2.2017.03
dc.identifier2382-4700
dc.identifierCorporación Universidad de la Costa
dc.identifier0122-6517
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9170372
dc.descriptionIntroducción: Los sistemas de producción Job Shop (JS) se caracterizan porque los trabajos a ser procesados tienen diferentes rutas de producción. Una generalización de este tipo de sistemas es el Job Shop Flexible (FJS), en el cual se cuenta con más de una máquina por estación para realizar alguna de las operaciones.Objetivo: El objetivo de este proyecto fue proponer un modelo de programación lineal entera mixta para programar sistemas FJS con el objetivo de minimizar el número de trabajos tardíos.Metodología: El modelo se desarrolló utilizando un enfoque basado en variables de secuencia-posición. Este enfoque utiliza variables binarias para decidir si una operación determinada es asignada a una posición en la secuencia de procesamiento de la máquina asignada. Para validar el desempeño del modelo se utilizaron datos de una pequeña empresa con un sistema productivo tipo FJS que desarrolla sus operaciones en un entorno bajo pedido (Make to Order, MTO). Por esta razón los indicadores de desempeño más importantes para la empresa son los asociados al nivel de servicio.Resultados: Los resultados muestran un desempeño razonable en términos del objetivo que se persigue. Se encontró el programa óptimo de producción en menos de 3600 segundos en instancias de menos de 14 órdenes de producción. En instancias más grandes su obtuvieron soluciones factibles en el tiempo límite definido.Conclusiones: El modelo permite definir programas de producción en sistemas en los cuales el cumplimiento de fechas de entrega es de vital importancia. Los resultados han permitido que la empresa mejore su desempeño y disminuya los costos asociados a los incumplimientos. Futuras investigaciones se pueden desarrollar para encontrar métodos de solución más eficientes con relación a los tiempos computacionales para obtener soluciones de instancias de mayor tamaño.
dc.descriptionIntroduction− Job Shop (JS) production systems are characterized by dif-ferent route process of the Jobs to be processed. A generalization of this type of systems is the Flexible Job Shop (FJS), in which there is more than one machine per station to perform some of the operations.Objective−The objective of this project was to propose a mixed integer lin-ear programming model to program FJS systems in order to minimize the number of tardy jobs.Methodology−The model was developed using an approach based on sequence-position variables. This approach uses binary variables to decide whether a given operation is assigned to a position in the processing sequence of the assigned machine. To validate the performance of the model data from a small company with an FJS type production system, that develops its op-erations in an environment to order (MTO), was used. For this reason, the most important performance indicators for the company are those associated with the service level.Results−The results show a reasonable performance in terms of the objec-tive pursued. The optimal production schedule was found in less than 3600 seconds in instances of less than 14 production orders. In larger instances, it obtained feasible solutions within the defined time limit.Conclusions−The model allows defining production schedules in systems in which the fulfillment of due dates is of vital importance. The results have allowed the company to improve its performance and reduce the costs associ-ated with non-compliance of customer’s due dates. Future research can be developed to find more efficient solution methods in terms of computational times to obtain solutions of larger instances.
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dc.languagespa
dc.publisherCorporación Universidad de la Costa
dc.relationINGE CUC; Vol. 13, Núm. 2 (2017)
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dc.relationINGE CUC
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dc.relationINGE CUC
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourceINGE CUC
dc.sourcehttps://revistascientificas.cuc.edu.co/ingecuc/article/view/1508
dc.subjectProgramación de producción
dc.subjectJob shop flexible
dc.subjectProgramación lineal entera mixta
dc.subjectTrabajos tardíos
dc.subjectProduction schedule
dc.subjectFlexible job shop
dc.subjectMixed integer lineal programming
dc.subjectTardy jobs
dc.titleModelo de Programación Lineal Entera Mixta para la Programación de Sistemas tipo Job-Shop Flexible en Entornos Make to Order
dc.titleMixed integer lineal programming model to schedule flexible jobshop systems in make to order environments
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
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dc.typehttp://purl.org/redcol/resource_type/ART
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dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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