D-Optimal Sequential Experiments for Generating a Simulation-Based Cycle Time-Throughput Curve

Sungmin Park (), John W. Fowler (), Gerald T. Mackulak (), J. Bert Keats () and W. Matthew Carlyle ()
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Sungmin Park: Department of Industrial Engineering, Arizona State University, Tempe, Arizona 85287-5906
John W. Fowler: Department of Industrial Engineering, Arizona State University, Tempe, Arizona 85287-5906
Gerald T. Mackulak: Department of Industrial Engineering, Arizona State University, Tempe, Arizona 85287-5906
J. Bert Keats: Department of Industrial Engineering, Arizona State University, Tempe, Arizona 85287-5906
W. Matthew Carlyle: Department of Industrial Engineering, Arizona State University, Tempe, Arizona 85287-5906

Operations Research, 2002, vol. 50, issue 6, 981-990

Abstract: 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.

Keywords: Simulation:; efficient; estimation; of; cycle; time-throughput; curves.; Queues:; simulation; of; queueing; networks (search for similar items in EconPapers)
Date: 2002
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Citations: View citations in EconPapers (16)

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