Simulation-assisted full factorial design
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.
Kilderegistrering
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- Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. · ISBN 978-1119113478
- Kleijnen, J. P. C. (2015). Design and Analysis of Simulation Experiments (2nd ed.). Springer. · ISBN 978-3319185668
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