2015-02-202015-02-202014-05-09CASTRO-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.https://hdl.handle.net/10784/5015At 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 methodenginfo:eu-repo/semantics/conferencePaperinfo:eu-repo/semantics/closedAccessForecastingExponential SmoothingStationarySeasonalAcceso metadatos2015-02-202015-02-20Castro-Zuluaga, Carlos A.Botero-Escobar, Sara C.http://purl.org/coar/access_right/c_14cb