Estimating Cycle Time Percentile Curves for Manufacturing Systems via Simulation

Estimating Cycle Time Percentile Curves for Manufacturing Systems via Simulation

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Article ID: iaor200952642
Country: United States
Volume: 20
Issue: 4
Start Page Number: 628
End Page Number: 643
Publication Date: Sep 2008
Journal: INFORMS Journal On Computing
Authors: , ,
Keywords: cycle time management, strategic planning
Abstract:

Cycle time–throughput (CT–TH) percentile curves quantify the relationship between percentiles of cycle time and factory throughput, and they can play an important role in strategic planning for manufacturing systems. In this paper, a highly flexible distribution, the generalized gamma, is used to represent the underlying distribution of cycle time. To obtain CT–TH percentile curves, we use a factory simulation to fit metamodels for the first three CT–TH moment curves throughout the throughput range of interest, determine the parameters of the generalized gamma by matching moments, and obtain any percentile of interest by inverting the distribution. To insure efficiency and control estimation error, simulation experiments are built up sequentially using a multistage procedure. Numerical results are presented to demonstrate the effectiveness of the approach.

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