Forecasting the intermittent demand for slow-moving inventories: A modelling approach

@inproceedings{Snyder2012ForecastingTI,
  title={Forecasting the intermittent demand for slow-moving inventories: A modelling approach},
  author={Ralph D. Snyder and J. Keith Ord and Adrian R. Beaumont},
  year={2012}
}
Organizations with large-scale inventory systems typically have a large proportion of items for which demand is intermittent and low volume. We examine various different approaches to demand forecasting for such products, paying particular attention to the need for inventory planning over a multi-period lead-time when the underlying process may be non-stationary. This emphasis leads to the consideration of prediction distributions for processes with time-dependent parameters. A wide range of… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 22 CITATIONS

Multiplicative state-space models for intermittent time series

VIEW 8 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED