Forecasting Sales of Slow and Fast Moving Inventories
journal contributionposted on 08.06.2017 by Snyder, Ralph D.
Any type of content formally published in an academic journal, usually following a peer-review process.
Traditional computerised inventory control systems usually rely on exponential smoothing to forecast the demand for fast moving inventories. Practices in relation to slow moving inventories are more varied, but the Croston method is often used. It is an adaptation of exponential smoothing that 1) incorporates a Bernoulli process to capture the sporadic nature of demand and 2) allows the average variability to change over time. The Croston approach is critically appraised in this paper. Corrections are made to underlying theory and modifications are proposed to overcome certain implementation difficulties. A parametric bootstrap approach is outlined that integrates demand forecasting with inventory control. The approach is illustrated on real demand data for car parts.