@inproceedings{Herrmann, author = {Herrmann, Frank}, title = {Simulation of the control of exponential smoothing by methods used in industrial practice}, series = {Proceedings of the 26th EUROPEAN Conference on Modeling and Simulation, May 29th - June 1st, 2012, Koblenz, Germany}, booktitle = {Proceedings of the 26th EUROPEAN Conference on Modeling and Simulation, May 29th - June 1st, 2012, Koblenz, Germany}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-2262}, pages = {7}, abstract = {Demands of customers for products and of the production for parts are being forecasted quite often in companies. The results are used extensively within the operational production planning and control by IT Systems like the SAP system. Hereby preferably methods based on exponential smoothing are being applied. Especially, in industrial practice it is expected that the pattern of the data change over time in such a way, that the parameters of the exponential smoothing have to be changed. In some companies thousands of items require forecasting, which is very laborious. With an adaptive method the parameters are modified in a controlled manner, as changes in the pattern occur. Two adaptive methods used in industrial practice are explained. Simulation experiments over a huge number of periods show when they should be used.}, subject = {PPS}, language = {en} }