Methoden vergelijken

	Simulatie-ondersteund Box-Behnken-ontwerp	Response Surface Methodology (RSM)
Vakgebied	Experimenteel ontwerp	Experimenteel ontwerp
Familie	Process / pipeline	Hypothesis test
Jaar van ontstaan	1960 (base design); simulation-assisted application developed from the 1990s onward	1951
Grondlegger	Box-Behnken (1960) for the base design; simulation integration emerged from computer experiment methodology in the 1980s-2000s	George E. P. Box & K. B. Wilson
Type	Simulation-integrated response surface design	Second-order polynomial response surface model
Oorspronkelijke bron	Box, G. E. P., & Behnken, D. W. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455-475.	Box, G. E. P. & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, Series B, 13(1), 1–45.
Aliassen	SA-BBD, computer-aided Box-Behnken design, simulation-based BBD, virtual Box-Behnken design	RSM, Central Composite Design, Box-Behnken Design, CCD
Verwant	4	7
Samenvatting	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.	Response Surface Methodology is a collection of statistical and mathematical techniques for building an empirical second-order polynomial model that relates a continuous response variable to two or more controllable input factors, and then locating the factor settings that optimize that response. The approach was introduced by George E. P. Box and K. B. Wilson in their landmark 1951 paper and has since become a cornerstone of process optimization across engineering, chemistry, food science, and pharmaceutics.