Methoden vergleichen

	Simulation-unterstütztes Box-Behnken-Design	Simulation-unterstütztes vollständiges faktorielles Design
Fachgebiet	Versuchsplanung	Versuchsplanung
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1960 (base design); simulation-assisted application developed from the 1990s onward	1990s–2000s (simulation-DOE integration formalized)
Urheber	Box-Behnken (1960) for the base design; simulation integration emerged from computer experiment methodology in the 1980s-2000s	Montgomery (DOE foundations); Kleijnen (simulation DOE formalization)
Typ	Simulation-integrated response surface design	Experimental design with computer simulation
Wegweisende Quelle	Box, G. E. P., & Behnken, D. W. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455-475.	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478
Aliasnamen	SA-BBD, computer-aided Box-Behnken design, simulation-based BBD, virtual Box-Behnken design	SA-FFD, computer simulation full factorial, virtual full factorial design, simulation-based full factorial DOE
Verwandt	4	4
Zusammenfassung	Simulation-assisted Box-Behnken design couples the three-level, near-spherical Box-Behnken experimental matrix with computer simulation models — such as finite-element analysis, computational fluid dynamics, or discrete-event simulation — to map how multiple controllable factors jointly affect one or more output responses, while eliminating the need for costly or hazardous physical prototype fabrication at every design point.	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.