Introduction to operations research, 4th ed.
Introduction to operations research, 4th ed.
An experimental procedure for simulation response surface model identification
Communications of the ACM
A tutorial on simulation optimization
WSC '92 Proceedings of the 24th conference on Winter simulation
Characterizing a nonstationary M/G/1 queue using bode plots
WSC '94 Proceedings of the 26th conference on Winter simulation
Risk analysis of robust system design
Proceedings of the 30th conference on Winter simulation
Solution to the indexing problem of frequency domain simulation experiments
WSC '91 Proceedings of the 23rd conference on Winter simulation
Simulation optimization using frequency domain methods
WSC '86 Proceedings of the 18th conference on Winter simulation
Future directions for frequency domain approach
WSC '87 Proceedings of the 19th conference on Winter simulation
Simulation optimization methodologies
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Stochastic gradient estimation using a single design point
Proceedings of the 38th conference on Winter simulation
Evaluating the effectiveness of FDM in identifying important factors in a dynamic flowshop
Robotics and Computer-Integrated Manufacturing
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A procedure is presented for assessing the sensitivity of a discrete event digital simulation model to the values assumed for its input parameters. A frequency domain approach is taken where the input parameters oscillate throughout a run of the model. Parameter sensitivities are indicated by changes in the frequency spectrum of the simulation response. The spectrum can be used to identify a regression model for the simulated response surface. Several continuous parameters may be screened in a single run.