Prediction of product layer cycle time using data mining

Based on a simulated non volatile memory (NVM) fab, we show that forecasting the steady state cycle time of process segments is possible using certain segment characteristics. We also show that the cycle time predictability is highly dependent on the choice of the segmentation, with the more efficient segmentation corresponding to the product layers.