ESTIMATING CLEARING FUNCTIONS FROM SIMULATION DATA

We examine the problem of estimating clearing functions that relate the expected output of a production resource as a function of its expected workload, from empirical data. We use a simulation model of a scaled-down wafer fabrication facility to generate the data and evaluate the performance of the resulting clearing functions. We compare several different regression approaches and report computational results.