We develop an open queueing network model for rapid performance analys
is of semiconductor manufacturing facilities. While the use of queuein
g models for performance evaluation of manufacturing systems is not ne
w, our approach differs from others in the detailed ways in which we m
odel the different tool groups found in semiconductor wafer fabricatio
n, as well as the way in which we characterize the effect of rework an
d scrap on wafer lot sizes. As an application of the model, we describ
e a method for performing tool planning for semiconductor lines, The m
ethod is based on a marginal allocation procedure which uses performan
ce estimates from the queueing network model to determine the number o
f tools needed to achieve a target cycle time, with the objective bein
g to minimize overall equipment cost.