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The application of product-group seasonal indexes to individual products

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

The application of product-group seasonal indexes to individual products. / Mohammadipour, Maryam; Boylan, John; Syntetos, Aris.
In: Foresight: The International Journal of Applied Forecasting, Vol. 26, 2012, p. 20-26.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Mohammadipour, M, Boylan, J & Syntetos, A 2012, 'The application of product-group seasonal indexes to individual products', Foresight: The International Journal of Applied Forecasting, vol. 26, pp. 20-26. <https://ideas.repec.org/a/for/ijafaa/y2012i26p20-26.html>

APA

Mohammadipour, M., Boylan, J., & Syntetos, A. (2012). The application of product-group seasonal indexes to individual products. Foresight: The International Journal of Applied Forecasting, 26, 20-26. https://ideas.repec.org/a/for/ijafaa/y2012i26p20-26.html

Vancouver

Mohammadipour M, Boylan J, Syntetos A. The application of product-group seasonal indexes to individual products. Foresight: The International Journal of Applied Forecasting. 2012;26:20-26.

Author

Mohammadipour, Maryam ; Boylan, John ; Syntetos, Aris. / The application of product-group seasonal indexes to individual products. In: Foresight: The International Journal of Applied Forecasting. 2012 ; Vol. 26. pp. 20-26.

Bibtex

@article{d207af3fa8be45af87b089ec86efc4d3,
title = "The application of product-group seasonal indexes to individual products",
abstract = "Forecasting seasonal products can be difficult when the products are fairly new or highly variable. The Spring 2007 issue of Foresight contained a special feature on modeling seasonality in short time series. The articles addressed the issues of minimum sample size requirements and surveyed the options for applying the seasonal patterns that are in aggregates (e.g. product group) as well as in analogous product data to the individual product at hand. Now, Maryam, John, and Aris show specifically how to form product-group seasonal indexes and explain how to determine when group indexes will be superior to individual indexes for forecasting the individual products. They also make the important point that there may be better ways to form product groups for seasonal forecasting than a company{\textquoteright}s standard product groupings. Copyright International Institute of Forecasters, 2012",
author = "Maryam Mohammadipour and John Boylan and Aris Syntetos",
year = "2012",
language = "English",
volume = "26",
pages = "20--26",
journal = "Foresight: The International Journal of Applied Forecasting",
issn = "1555-9068",
publisher = "International Institute of Forecasters",

}

RIS

TY - JOUR

T1 - The application of product-group seasonal indexes to individual products

AU - Mohammadipour, Maryam

AU - Boylan, John

AU - Syntetos, Aris

PY - 2012

Y1 - 2012

N2 - Forecasting seasonal products can be difficult when the products are fairly new or highly variable. The Spring 2007 issue of Foresight contained a special feature on modeling seasonality in short time series. The articles addressed the issues of minimum sample size requirements and surveyed the options for applying the seasonal patterns that are in aggregates (e.g. product group) as well as in analogous product data to the individual product at hand. Now, Maryam, John, and Aris show specifically how to form product-group seasonal indexes and explain how to determine when group indexes will be superior to individual indexes for forecasting the individual products. They also make the important point that there may be better ways to form product groups for seasonal forecasting than a company’s standard product groupings. Copyright International Institute of Forecasters, 2012

AB - Forecasting seasonal products can be difficult when the products are fairly new or highly variable. The Spring 2007 issue of Foresight contained a special feature on modeling seasonality in short time series. The articles addressed the issues of minimum sample size requirements and surveyed the options for applying the seasonal patterns that are in aggregates (e.g. product group) as well as in analogous product data to the individual product at hand. Now, Maryam, John, and Aris show specifically how to form product-group seasonal indexes and explain how to determine when group indexes will be superior to individual indexes for forecasting the individual products. They also make the important point that there may be better ways to form product groups for seasonal forecasting than a company’s standard product groupings. Copyright International Institute of Forecasters, 2012

M3 - Journal article

VL - 26

SP - 20

EP - 26

JO - Foresight: The International Journal of Applied Forecasting

JF - Foresight: The International Journal of Applied Forecasting

SN - 1555-9068

ER -