Klapper, MatthiasSchneider, CarstenWenzel, Thomas2004-12-062004-12-061999http://hdl.handle.net/2003/496810.17877/DE290R-3089In this paper we use 4 different time series models to forecast sales in a goods management system. We use a variety of forecast combining techniques and measure the forecast quality by applying symmetric and asymmetric forecast quality measures. Simple, rank-, and criteria-based combining methods lead to an improvement of the individual time series models.enUniversitätsbibliothek DortmundARX forecastsasymmetric loss functioncombination of forecastsdynamic linear modelgoods management system310An Evaluation of Forecasting Methods and Forecast Combination Methods in Goods Management Systemsreport