It shows that the demand variability does not increase when the retailer relies on the simply exponentially weighted moving average or the simple moving average to forecast demand.

Experiments show that wavelet filtering can enhance the small fault detection capacity and detect more timely compared with exponentially weighted moving average (EWMA) filter.

Then we use adaptive exponentially weighted moving average (AEWMA) control charts to control the process which satisfies the two-component model.