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Use of individual and group seasonal indices in subaggregate demand forecasting

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Use of individual and group seasonal indices in subaggregate demand forecasting. / Chen, H.; Boylan, John.

In: Journal of the Operational Research Society, Vol. 58, No. 12, 01.12.2007, p. 1660-1671.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Chen, H & Boylan, J 2007, 'Use of individual and group seasonal indices in subaggregate demand forecasting', Journal of the Operational Research Society, vol. 58, no. 12, pp. 1660-1671. https://doi.org/10.1057/palgrave.jors.2602310

APA

Vancouver

Chen H, Boylan J. Use of individual and group seasonal indices in subaggregate demand forecasting. Journal of the Operational Research Society. 2007 Dec 1;58(12):1660-1671. doi: 10.1057/palgrave.jors.2602310

Author

Chen, H. ; Boylan, John. / Use of individual and group seasonal indices in subaggregate demand forecasting. In: Journal of the Operational Research Society. 2007 ; Vol. 58, No. 12. pp. 1660-1671.

Bibtex

@article{87b96129dd67408cbd318c6c80e9c482,
title = "Use of individual and group seasonal indices in subaggregate demand forecasting",
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.",
author = "H. Chen and John Boylan",
year = "2007",
month = dec,
day = "1",
doi = "10.1057/palgrave.jors.2602310",
language = "English",
volume = "58",
pages = "1660--1671",
journal = "Journal of the Operational Research Society",
issn = "0160-5682",
publisher = "Taylor and Francis Ltd.",
number = "12",

}

RIS

TY - JOUR

T1 - Use of individual and group seasonal indices in subaggregate demand forecasting

AU - Chen, H.

AU - Boylan, John

PY - 2007/12/1

Y1 - 2007/12/1

N2 - 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.

AB - 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.

U2 - 10.1057/palgrave.jors.2602310

DO - 10.1057/palgrave.jors.2602310

M3 - Journal article

VL - 58

SP - 1660

EP - 1671

JO - Journal of the Operational Research Society

JF - Journal of the Operational Research Society

SN - 0160-5682

IS - 12

ER -