Considering it is hard to forecast the intermittent demand of spare parts because of the short time of equipment introduction, as well as less history data and intermittent demand with a great deal of zero value, introduced a new method named Single Exponential Smoothing (SES) to achieve it. Basing on studying in how the initial value and weighting factor of SES method affect the accuracy of model forecasting, besides establishing and analyzing the intermittent demand forecasting model of some kind of ships. The simulation result shows that SES method could do well in forecasting intermittent demand for spare parts.