Examinando por Autor "Castro-Zuluaga, Carlos A."

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    Ítem
    An approach to make statistical forecasting of products with stationary/seasonal patterns
    (Production and Operations Management Society (POMS), 2014-05-09) Castro-Zuluaga, Carlos A.; Botero-Escobar, Sara C.; Castro-Zuluaga, Carlos A.; Botero-Escobar, Sara C.; Universidad EAFIT. Grupo de Investigación Gestión de Producción y Logística; Universidad EAFIT. Departamento de Ingeniería de Producción; ccastro@eafit.edu.co; sboter11@eafit.edu.co; Gestión de Producción y Logística
    At any company there are hundreds, maybe thousands of products that must be forecasted with the best accuracy, in order to make a good demand management process, which are required at all planning levels in a company -- Statistical forecasting must be done fast and sometimes there are not enough resources to do it well -- In In this paper we make a proposal of an approach to define the parameter of the exponential smoothing model for products with a behavior pattern stationary or seasonal/stationary in the historical data, to obtain “good forecasting" A numerical example is used to show the effectiveness of the proposed method
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    Ítem
    Herramienta para enseñanza del modelo (s, Q) mediante simulación en un curso de gestión de inventarios
    (Asociación Colombiana de Facultades de Ingeniería (ACOFI), 2013-09-24) Castro Urrego, Jaime A.; Castro-Zuluaga, Carlos A.; Universidad EAFIT. Departamento de Ingeniería de Producción; ccastro@eafit.edu.co; jcastrou@eafit.edu.co; Gestión de Producción y Logística
    In recent years, inventory management has become a critical issue within companies because a suitable management of inventories can drive toward improve their competitive advantages -- This paper presents a simulation tool developed in VBA of Microsoft Excel ®, which has the main purpose to help students in their teaching and learning processes of the inventory management theory, in order to enhance the skills and abilities of them in the decision making process related with an effective management of stocks