Home > Research > Publications & Outputs > Forecasting for intermittent demand

Research

Associated organisational unit

Links

Text available via DOI:

View graph of relations

Forecasting for intermittent demand: the estimation of an unbiased average

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Forecasting for intermittent demand: the estimation of an unbiased average. / Shale, E. A.; Boylan, John; Johnston, F. R.
In: Journal of the Operational Research Society, Vol. 57, No. 5, 01.05.2006, p. 588-592.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Shale, EA, Boylan, J & Johnston, FR 2006, 'Forecasting for intermittent demand: the estimation of an unbiased average', Journal of the Operational Research Society, vol. 57, no. 5, pp. 588-592. https://doi.org/10.1057/palgrave.jors.2602031

APA

Shale, E. A., Boylan, J., & Johnston, F. R. (2006). Forecasting for intermittent demand: the estimation of an unbiased average. Journal of the Operational Research Society, 57(5), 588-592. https://doi.org/10.1057/palgrave.jors.2602031

Vancouver

Shale EA, Boylan J, Johnston FR. Forecasting for intermittent demand: the estimation of an unbiased average. Journal of the Operational Research Society. 2006 May 1;57(5):588-592. doi: 10.1057/palgrave.jors.2602031

Author

Shale, E. A. ; Boylan, John ; Johnston, F. R. / Forecasting for intermittent demand : the estimation of an unbiased average. In: Journal of the Operational Research Society. 2006 ; Vol. 57, No. 5. pp. 588-592.

Bibtex

@article{ef22063082e74895a2eb556dd52eac72,
title = "Forecasting for intermittent demand: the estimation of an unbiased average",
abstract = "The majority of the range of items held by many stockists exhibit intermittent demand. Accurate forecasting of the issue rate for such items is important and several methods have been developed, but all produce biased forecasts to a greater or lesser degree. This paper derives the bias expected when the order arrivals follows a Poisson process, which leads to a correction factor for application in practice. Extensions to some other arrival processes are briefly considered.",
author = "Shale, {E. A.} and John Boylan and Johnston, {F. R.}",
year = "2006",
month = may,
day = "1",
doi = "10.1057/palgrave.jors.2602031",
language = "English",
volume = "57",
pages = "588--592",
journal = "Journal of the Operational Research Society",
issn = "0160-5682",
publisher = "Taylor and Francis Ltd.",
number = "5",

}

RIS

TY - JOUR

T1 - Forecasting for intermittent demand

T2 - the estimation of an unbiased average

AU - Shale, E. A.

AU - Boylan, John

AU - Johnston, F. R.

PY - 2006/5/1

Y1 - 2006/5/1

N2 - The majority of the range of items held by many stockists exhibit intermittent demand. Accurate forecasting of the issue rate for such items is important and several methods have been developed, but all produce biased forecasts to a greater or lesser degree. This paper derives the bias expected when the order arrivals follows a Poisson process, which leads to a correction factor for application in practice. Extensions to some other arrival processes are briefly considered.

AB - The majority of the range of items held by many stockists exhibit intermittent demand. Accurate forecasting of the issue rate for such items is important and several methods have been developed, but all produce biased forecasts to a greater or lesser degree. This paper derives the bias expected when the order arrivals follows a Poisson process, which leads to a correction factor for application in practice. Extensions to some other arrival processes are briefly considered.

U2 - 10.1057/palgrave.jors.2602031

DO - 10.1057/palgrave.jors.2602031

M3 - Journal article

VL - 57

SP - 588

EP - 592

JO - Journal of the Operational Research Society

JF - Journal of the Operational Research Society

SN - 0160-5682

IS - 5

ER -