Estimating clearing functions from simulation data

  • Authors:
  • N. Baris Kacar;Reha Uzsoy

  • Affiliations:
  • North Carolina State University, Raleigh, NC;North Carolina State University, Raleigh, NC

  • Venue:
  • Proceedings of the Winter Simulation Conference
  • Year:
  • 2010

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Abstract

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.