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On the stock control performance of intermittent demand estimators

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On the stock control performance of intermittent demand estimators. / Syntetos, Aris A.; Boylan, John.

In: International Journal of Production Economics, Vol. 103, No. 1, 01.09.2006, p. 36-47.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Syntetos, AA & Boylan, J 2006, 'On the stock control performance of intermittent demand estimators', International Journal of Production Economics, vol. 103, no. 1, pp. 36-47. https://doi.org/10.1016/j.ijpe.2005.04.004

APA

Syntetos, A. A., & Boylan, J. (2006). On the stock control performance of intermittent demand estimators. International Journal of Production Economics, 103(1), 36-47. https://doi.org/10.1016/j.ijpe.2005.04.004

Vancouver

Syntetos AA, Boylan J. On the stock control performance of intermittent demand estimators. International Journal of Production Economics. 2006 Sep 1;103(1):36-47. doi: 10.1016/j.ijpe.2005.04.004

Author

Syntetos, Aris A. ; Boylan, John. / On the stock control performance of intermittent demand estimators. In: International Journal of Production Economics. 2006 ; Vol. 103, No. 1. pp. 36-47.

Bibtex

@article{d159ac062c424f1eb19ebcc7a55291ae,
title = "On the stock control performance of intermittent demand estimators",
abstract = "The purpose of this paper is to assess the empirical stock control performance of intermittent demand estimation procedures. The forecasting methods considered are the simple moving average, single exponential smoothing, Croston's method and a new method recently developed by the authors of this paper. We first discuss the nature of the empirical demand data set (3000 stock keeping units) and we specify the stock control model to be used for experimentation purposes. Performance measures are then selected to report customer service level and stock volume differences. The out-of-sample empirical comparison results demonstrate the superior stock control performance of the new intermittent demand forecasting method and enable insights to be gained into the empirical utility of the other estimators.",
keywords = "Intermittent demand, Forecasting, Stock control",
author = "Syntetos, {Aris A.} and John Boylan",
note = "Accepted 19/04/2005",
year = "2006",
month = sep,
day = "1",
doi = "10.1016/j.ijpe.2005.04.004",
language = "English",
volume = "103",
pages = "36--47",
journal = "International Journal of Production Economics",
issn = "0925-5273",
publisher = "Elsevier Science B.V.",
number = "1",

}

RIS

TY - JOUR

T1 - On the stock control performance of intermittent demand estimators

AU - Syntetos, Aris A.

AU - Boylan, John

N1 - Accepted 19/04/2005

PY - 2006/9/1

Y1 - 2006/9/1

N2 - The purpose of this paper is to assess the empirical stock control performance of intermittent demand estimation procedures. The forecasting methods considered are the simple moving average, single exponential smoothing, Croston's method and a new method recently developed by the authors of this paper. We first discuss the nature of the empirical demand data set (3000 stock keeping units) and we specify the stock control model to be used for experimentation purposes. Performance measures are then selected to report customer service level and stock volume differences. The out-of-sample empirical comparison results demonstrate the superior stock control performance of the new intermittent demand forecasting method and enable insights to be gained into the empirical utility of the other estimators.

AB - The purpose of this paper is to assess the empirical stock control performance of intermittent demand estimation procedures. The forecasting methods considered are the simple moving average, single exponential smoothing, Croston's method and a new method recently developed by the authors of this paper. We first discuss the nature of the empirical demand data set (3000 stock keeping units) and we specify the stock control model to be used for experimentation purposes. Performance measures are then selected to report customer service level and stock volume differences. The out-of-sample empirical comparison results demonstrate the superior stock control performance of the new intermittent demand forecasting method and enable insights to be gained into the empirical utility of the other estimators.

KW - Intermittent demand

KW - Forecasting

KW - Stock control

U2 - 10.1016/j.ijpe.2005.04.004

DO - 10.1016/j.ijpe.2005.04.004

M3 - Journal article

VL - 103

SP - 36

EP - 47

JO - International Journal of Production Economics

JF - International Journal of Production Economics

SN - 0925-5273

IS - 1

ER -