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Mathematical Problems in Engineering
Volume 2010, Article ID 579010, 14 pages
http://dx.doi.org/10.1155/2010/579010
Research Article

Forecasting of Sporadic Demand Patterns with Seasonality and Trend Components: An Empirical Comparison between Holt-Winters and (S)ARIMA Methods

1Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia, via Amendola 2, Padiglione Morselli, Reggio Emilia 42100 , Italy
2Department of Management and Engineering, University of Padua, Stradella San Nicola 3, Vicenza 36100, Italy

Received 19 March 2010; Accepted 16 June 2010

Academic Editor: Carlo Cattani

Copyright © 2010 Rita Gamberini et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Rita Gamberini, Francesco Lolli, Bianca Rimini, and Fabio Sgarbossa, “Forecasting of Sporadic Demand Patterns with Seasonality and Trend Components: An Empirical Comparison between Holt-Winters and (S)ARIMA Methods,” Mathematical Problems in Engineering, vol. 2010, Article ID 579010, 14 pages, 2010. https://doi.org/10.1155/2010/579010.