A proposed technique for forming reliable prediction intervals for the future demand rate of existing products with observed demand of zero is illustrated using methodology adapted from software reliability. By using the demand information from a group of products which includes slow-moving...

Research in the area of forecasting and stock inventory control for intermittent demand is designed to provide robust models for the underlying demand which appears at random, with some time periods having no demand at all. Croston’s method is a popular technique for these models and it uses...

A Bayesian approach to demand forecasting to optimize spare parts inventory that requires periodic replenishment is examined relative to a non-Bayesian approach when the demand rate is unknown. That is, optimal inventory levels are decided using these two approaches at consecutive time...