Judging the judges through accuracy-implication metrics : the case of inventory forecasting

Syntetos, A; Nikolopoulos, K; Boylan, JE

Abstract

A number of research projects have demonstrated that the efficiency of inventory systems does not relate directly to demand forecasting performance, as measured by standard forecasting accuracy measures. When a forecasting method is used as an input to an inventory system, it should therefore always be evaluated with respect to its consequences for stock control through accuracy implications metrics, in addition to its performance on the standard accuracy measures. In this paper we address the issue of judgementally adjusting statistical forecasts for ‘fast’ demand items, and the implications of such interventions in terms of both forecast accuracy and stock control, with the latter being measured through inventory volumes and service levels achieved. We do so using an empirical dataset from the pharmaceutical industry. Our study allows insights to be gained into the combined forecasting and inventory performance of judgemental estimates. It also aims to advance the practice of forecasting competitions by arguing for the consideration of additional (stock control) metrics when such exercises take place in an inventory context.

Citation

Syntetos, A., Nikolopoulos, K., & Boylan, J. (2010). Judging the judges through accuracy-implication metrics : the case of inventory forecasting. International Journal of Forecasting, 26(1), 134-143. https://doi.org/10.1016/j.ijforecast.2009.05.016

• Journal Article Type: Article
• Publication Date: Jan 1, 2010
• Deposit Date: Oct 13, 2011
• Journal: International Journal of Forecasting
• Print ISSN: 0169-2070
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 26
• Issue: 1
• Pages: 134-143
• DOI: https://doi.org/10.1016/j.ijforecast.2009.05.016
• Publisher URL: http://dx.doi.org/ 10.1016/j.ijforecast.2009.05.016
• Additional Information: Funders : Engineering and Physical Sciences Research Council (EPSRC)