An approach to make statistical forecasting of products with stationary/seasonal patterns
Fecha
2014-05-09, 2014-05-09
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Editor
Production and Operations Management Society (POMS)
Production and Operations Management Society (POMS)
Production and Operations Management Society (POMS)
Resumen
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
Descripción
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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Citación
CASTRO-ZULUAGA, Carlos A. BOTERO-ESCOBAR, Sara C, (2014). An approach to make statistical forecasting of products with stationary/seasonal patterns. Proceedings of 25th Annual Production Operations Management Society (POMS) Conference. Atlanta, Ge, USA. May 9– 12th, 2014.