A decision support system for inventory management of intermittent demand

Demand forecasting is one of the most crucial aspects of inventory management. For intermittent demand, i.e. demand peaks follow several periods of zero or low demands, forecasting is difficult. Furthermore, the choice of the forecasting method can have an impact on the inventory management policy that is best used. A simulation model is used to study a single-product inventory system facing demand of the intermittent type. In this paper, a decision support system is presented to choose between several forecasting methods and inventory management policies for intermittent demand.