Process / pipelineEngineering methods

Simulation-Assisted Full Factorial Design — Exploring All Factor Combinations via Computer Simulation

Simulation-assisted full factorial design integrates full factorial design of experiments (DOE) with computer simulation models — such as discrete-event simulation, finite element analysis, or Monte Carlo methods — to systematically explore every combination of factor levels and quantify their effects on system responses. It enables comprehensive experimentation in contexts where physical trials would be costly, dangerous, or infeasible.

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Sources

  1. Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478
  2. Kleijnen, J. P. C. (2015). Design and Analysis of Simulation Experiments (2nd ed.). Springer. ISBN: 978-3319185668

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Referenced by

ScholarGateSimulation-assisted full factorial design (Simulation-Assisted Full Factorial Design of Experiments). Retrieved 2026-06-04 from https://scholargate.app/en/experimental-design/simulation-assisted-full-factorial-design