Use of individual and group seasonal indices in subaggregate demand forecasting.

Chen, H; Boylan, JE

Abstract

An individual seasonal indices (ISI) method and two group seasonal indices (GSI) methods proposed in the literature are compared, based on two models. Rules have been established to choose between these methods and insights are gained on the conditions under which one method outperforms the others. Simulation findings confirm that using the rules improves forecasting accuracy against universal application of these methods.

Citation

Chen, H., & Boylan, J. (2006). Use of individual and group seasonal indices in subaggregate demand forecasting. Journal of the Operational Research Society, 58(12), 1660-1671. https://doi.org/10.1057/palgrave.jors.2602310

• Journal Article Type: Article
• Online Publication Date: Oct 11, 2006
• Publication Date: Oct 11, 2006
• Deposit Date: Aug 21, 2007
• Journal: Journal of the Operational Research Society
• Print ISSN: 0160-5682
• Publisher: Palgrave Macmillan
• Peer Reviewed: Peer Reviewed
• Volume: 58
• Issue: 12
• Pages: 1660-1671
• DOI: https://doi.org/10.1057/palgrave.jors.2602310
• Keywords: Seasonality, forecasting, grouping
• Publisher URL: http://dx.doi.org/10.1057/palgrave.jors.2602310
• Related Public URLs: http://link.springer.com/journal/41274