Modelamiento eficiente de la preparación de pedidos en un almacén usando un metaheurístico de Búsqueda Tabú
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Vélez Calle, Laura
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En esta tesis se modela un metaheurístico de Búsqueda Tabú que facilita la resolución del problema de programación de la preparación de pedidos en un almacén, considerando los tiempos de entrega de las órdenes. Para lograrlo, se minimiza la tardanza total de las ordenes teniendo en cuenta para el cálculo de los tiempos de procesamiento, variables tales como: k equipos de manejo de materiales heterogéneos, n productos, m posiciones de almacenamiento y actualización del nivel de inventario. Al comparar los resultados obtenidos entre el metaheurístico desarrollado y la regla de priorización Earliest Due Date (EDD), a través, de una prueba de hipótesis, se observa que el valor de la tardanza total promedio obtenida con el metaheurístico, es menor con un nivel de confianza del 95%, lo que nos permite inferir que se obtiene un mejor desempeño en el almacén al usar el modelo propuesto en esta tesis.
Abstract: This thesis presents a Tabu Search metaheuristic facilitating problem resolution scheduling order picking in a warehouse, considering the time of delivery of orders is modeled. To achieve this, the total delay of orders is minimized taking into account for the calculation of processing times, variables such as: k handling equipment heterogeneous materials, products n, m storage locations and update inventory level. By comparing the results obtained between the metaheuristic developed and the rule of prioritization Earliest Due Date (EDD) through of a hypothesis test, it is observed that the value of the total average delay obtained with the metaheuristic is less with a level 95% confidence, which allows us to infer that perform better in store when using the model proposed in this thesis is obtained
Abstract: This thesis presents a Tabu Search metaheuristic facilitating problem resolution scheduling order picking in a warehouse, considering the time of delivery of orders is modeled. To achieve this, the total delay of orders is minimized taking into account for the calculation of processing times, variables such as: k handling equipment heterogeneous materials, products n, m storage locations and update inventory level. By comparing the results obtained between the metaheuristic developed and the rule of prioritization Earliest Due Date (EDD) through of a hypothesis test, it is observed that the value of the total average delay obtained with the metaheuristic is less with a level 95% confidence, which allows us to infer that perform better in store when using the model proposed in this thesis is obtained