Article ID: | iaor20031778 |
Country: | United States |
Volume: | 50 |
Issue: | 6 |
Start Page Number: | 981 |
End Page Number: | 990 |
Publication Date: | Nov 2002 |
Journal: | Operations Research |
Authors: | Mackulak Gerald T., Keats J. Bert, Fowler John W., Park Sungmin, Carlyle W. Matthew |
Keywords: | simulation: applications |
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