Multivariate statistical simulation
Multivariate statistical simulation
A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
Statistical design and analysis
WSC '86 Proceedings of the 18th conference on Winter simulation
Modeling and generating input processes
WSC '87 Proceedings of the 19th conference on Winter simulation
Variance reduction for simulation practitioners
WSC '87 Proceedings of the 19th conference on Winter simulation
Ranking and selection tutorial: 2-factor normal means procedures
WSC '87 Proceedings of the 19th conference on Winter simulation
Optimization in simulation: a survey of recent results
WSC '87 Proceedings of the 19th conference on Winter simulation
Principles of Discrete Event Simulation
Principles of Discrete Event Simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Input data collection and analysis
WSC '84 Proceedings of the 16th conference on Winter simulation
Variance reallocation in Taguchi's robust design framework
WSC '92 Proceedings of the 24th conference on Winter simulation
Designing simulation experiments: Taguchi methods and response surface metamodels
WSC '91 Proceedings of the 23rd conference on Winter simulation
A GA-based parameter design for single machine turning process with high-volume production
Computers and Industrial Engineering
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This tutorial focuses on that part of a simulation study concerning setting the various specific model parameters and the experimental conditions under which the model will be exercised. Other issues in setting up and designing simulation experiments, such as variance reduction, ranking and selection, and optimization, are also mentioned. The focus is on careful choice of such parameters beforehand, with an eye toward the statistical analysis of the simulation's results. Output analysis is not treated per se, being covered in another tutorial in this conference (by Gordon Clark), but the design and analysis activities must be done hand in hand.