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Intermittent and Lumpy Demand: A Forecasting Challenge

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  • John Boylan

Abstract

Slow items with intermittent and lumpy demand patterns can make up a substantial part of an organization's inventory. They are difficult to forecast and some of the most popular forecasting methods are unsuitable. The author describes the principal methods for forecasting intermittent and lumpy demands and shows how to take advantage of recent advances in the field. Copyright International Institute of Forecasters, 2005

Suggested Citation

  • John Boylan, 2005. "Intermittent and Lumpy Demand: A Forecasting Challenge," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 1, pages 36-42, June.
    • Handle: RePEc:for:ijafaa:y:2005:i:1:p:36-42
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    Cited by:

    1. Yelland, Phillip M., 2009. "Bayesian forecasting for low-count time series using state-space models: An empirical evaluation for inventory management," International Journal of Production Economics, Elsevier, vol. 118(1), pages 95-103, March.
    2. Yelland, Phillip M., 2010. "Bayesian forecasting of parts demand," International Journal of Forecasting, Elsevier, vol. 26(2), pages 374-396, April.

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