D-optimal sequential experiments for generating a simulation-based cycle time-throughput curve

Sungmin Park, John Fowler, Gerald T. Mackulak, J. Bert Keats, W. Matthew Carlyle

Research output: Contribution to journalArticlepeer-review

41 Scopus citations


A cycle time-throughput curve quantifies the relationship of average cycle time to throughput rates in a manufacturing system. Moreover, it indicates the asymptotic capacity of a system. Such a curve is used to characterize system performance over a range of start rates. Simulation is a fundamental method for generating such curves since simulation can handle the complexity of real systems with acceptable precision and accuracy. A simulation-based cycle time-throughput curve requires a large amount of simulation output data; the precision and accuracy of a simulated curve may be poor if there is insufficient simulation data. To overcome these problems, sequential simulation experiments based on a nonlinear D-optimal design are suggested. Using the nonlinear shape of the curve, such a design pinpoints p starting design points, and then sequentially ranks the remaining n - p candidate design points, where n is the total number of possible design points being considered. A model of a semiconductor wafer fabrication facility is used to validate the approach. The sequences of experimental runs generated can be used as references for simulation experimenters.

Original languageEnglish (US)
Pages (from-to)981-990+1078
JournalOperations Research
Issue number6
StatePublished - 2002

ASJC Scopus subject areas

  • Computer Science Applications
  • Management Science and Operations Research


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