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Measuring Forecast Accuracy: Omissions in Today's Forecasting Engines and Demand-Planning Software


  • Jim Hoover


In this article Jim discusses 1) forecast error calculations for intermittent (sporadic) demand items, 2) issues with measuring forecast error aggregated across items, and 3) metrics for tracking forecast accuracy improvement over time. Copyright International Institute of Forecasters, 2006

Suggested Citation

  • Jim Hoover, 2006. "Measuring Forecast Accuracy: Omissions in Today's Forecasting Engines and Demand-Planning Software," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 4, pages 32-35, June.
  • Handle: RePEc:for:ijafaa:y:2006:i:4:p:32-35

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    Cited by:

    1. Altay, Nezih & Rudisill, Frank & Litteral, Lewis A., 2008. "Adapting Wright's modification of Holt's method to forecasting intermittent demand," International Journal of Production Economics, Elsevier, vol. 111(2), pages 389-408, February.
    2. Davydenko, Andrey & Fildes, Robert, 2013. "Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts," International Journal of Forecasting, Elsevier, vol. 29(3), pages 510-522.

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