Graphical methods for the design and analysis of simulation experiments

Russell R. Barton, Lee W. Schruben

Research output: Contribution to journalConference articlepeer-review


Intuitive graphical methods are developed for designing, running, and analyzing simulation experiments. Output plots from a single run are analyzed. The concept of a standardized simulation output plot is presented and its use illustrated. The design of experiments that may involve several (sequential) simulation runs is considered. Experimental design discussions in simulation often focus on special topics unique to the field. Control over random variables permits design techniques such as antithetic variates and common random number streams. Yet many of the general topics of experiment design including confounding, fractional designs, and sample size determination are important in a simulation setting. These general topics are addressed, and graphical tools for generating experiment designs, namely, causal diagrams and multidimensional point plots, are presented.

Original languageEnglish (US)
Pages (from-to)51-61
Number of pages11
JournalWinter Simulation Conference Proceedings
StatePublished - 1989
Event1989 Winter Simulation Conference Proceedings - WSC '89 - Washington, DC, USA
Duration: Dec 4 1989Dec 6 1989

All Science Journal Classification (ASJC) codes

  • Software
  • Modeling and Simulation
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety
  • Applied Mathematics


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