Design of experiments: designing simulation experiments

ABSTRACT

Simulation models are useful for examining the performance of alternative system configurations and/or alternative operating procedures for a system. This tutorial provides some techniques for planning a set of simulation model runs, in order to gain insight on system behavior. There is an emphasis on graphical methods.

REFERENCES

• 1: Banks, J. et al. 1998. Handbook of simulation: principles, methodology, advances, applications and practice. ed. J. Banks. New York: John Wiley and Sons.
• 2: Banks, J., J. S. Carson, B. L. Nelson, and D. M. Nicol. 2001. Discrete-event system simulation. Upper Saddle River, NJ: Prentice-Hall.
• 3: Barton, R. R. 1999. Graphical methods for the design of experiments. New York: Springer-Verlag.
• 4: Michael C. Fu , Sigrún Andradóttir , John S. Carson , Fred Glover , Charles R. Harrell , Yu-Chi Ho , James P. Kelly , Stephen M. Robinson, Integrating optimization and simulation: research and practice, Proceedings of the 32nd conference on Winter simulation, December 10-13, 2000, Orlando, Florida
• 5: Joines, J. A. et al. 2000. Proceedings of the 2000 Winter Simulation Conference, ed. J. A. Joines, R. R. Barton, K. Kang and P. A. Fishwick. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers.
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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.5 Model Development
          Subjects: Modeling methodologies

Additional Classification:
  G. Mathematics of Computing
  G.3 PROBABILITY AND STATISTICS
      Subjects: Experimental design

  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.1 Simulation Theory
          Subjects: Model classification

General Terms:
Algorithms, Design, Experimentation