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Lanfen Liu and Xinfeng Yang
Due to the influence of insufficient production capacity or shortage of production materials, production enterprises may produce products in advance or be backordered. In order to improve the adaptability of enterprises and reduce production costs, the i...
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María del Rosario Pérez-Salazar, Alberto Alfonso Aguilar-Lasserre, Miguel Gastón Cedillo-Campos, Rubén Posada-Gómez, Marco Julio del Moral-Argumedo and José Carlos Hernández-González
The agent-based model driven decision support system can handle the delay in the arrival of raw materials while considering planning scenarios reflecting the context of the green coffee production, scenarios where the demand is skewed towards the end of ...
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Felipe T. Muñoz Valdés, Javier A. Henríquez Isla, Iván R. Santelices Malfanti
Este trabajo presenta un modelo de planificación agregada para la optimización de la producción e instalación de una empresa fabricadora de Muros Cortina, también llamados Sistemas de Fachada Ligera. Este producto está compuesto por una estructura de alu...
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Felipe Alvarez Clifford, Hernaldo Reinoso
En este trabajo se resuelve un problema de planificación agregada de la producción de Compañía Siderúrgica Huachipato S.A., a través de un modelo de programación lineal. La planificación agregada de la producción es a mediano plazo, en donde se considera...
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J. T. Meij
AbstractIn this paper a comparison is made between the results and the cost-effectiveness of two computer search models for aggregate production planning when applied to a very sensitive high-order cost structure. The Search Decision Rule (SOR) model dev...
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J. T. Meij
AbstractMany production managers are faced with the problem of planning production, inventory and work-force under the constraint of limited resources to meet a seasonal demand. Considerable research has been done on this planning problem and various pla...
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J. T. Meij
AbstractIn this paper a linear programming (LP) model for aggregate production planning is given. This is a general model that can be used in various production situations. It optimizes the monthly planning of human resources, production quantities and i...
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