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

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 ... Ausführliche Beschreibung

1. Person: Park, Sungmin
Weitere Personen: Fowler, John W. verfasserin; Mackulak, Gerald T. verfasserin; Keats, J. Bert verfasserin; Carlyle, W. Matthew verfasserin
Quelle: in Operations research Vol. 50, No. 6 (2002), p. 981-990
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Format: Online-Artikel
Sprache: English
Veröffentlicht: 2002
Beschreibung: Online-Ressource
Schlagworte: research-article
Simulation: Efficient Estimation of Cycle Time-Throughput Curves
Queues: Simulation of Queueing Networks
Simulation
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Anmerkung: Copyright: Copyright 2002 Institute for Operations Research and the Management Sciences
Zusammenfassung: 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.
ISSN: 1526-5463

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