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Use of individual and group seasonal indices in subaggregate demand forecasting

Research output: Contribution to journalJournal articlepeer-review

Published
<mark>Journal publication date</mark>1/12/2007
<mark>Journal</mark>Journal of the Operational Research Society
Issue number12
Volume58
Number of pages12
Pages (from-to)1660-1671
Publication StatusPublished
<mark>Original language</mark>English

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.