Módszerek összehasonlítása

	Szimuláció-támogatott törtfaktoros kísérleti terv	Centrális Kompozit Terv – Válaszfelszíni Kísérlettervezés
Tudományterület	Kísérlettervezés	Kísérlettervezés
Módszercsalád	Process / pipeline	Process / pipeline
Keletkezés éve	FFD: 1950s; simulation integration: 1980s–2000s	1951
Megalkotó	Box, Hunter & Hunter (FFD basis); Kleijnen and others (simulation integration)	George E. P. Box and K. B. Wilson
Típus	Experimental design with computational augmentation	Response surface experimental design
Alapmű	Kleijnen, J. P. C. (2008). Design and Analysis of Simulation Experiments. Springer. ISBN: 978-0387718125	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.
Alternatív nevek	SA-FFD, virtual fractional factorial design, computer-aided fractional factorial design, simulation-based FFD	CCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Kapcsolódó	4	3
Összefoglaló	Simulation-assisted fractional factorial design (SA-FFD) combines the statistical efficiency of fractional factorial experimentation with computerized simulation models to screen and estimate factor effects when physical experiments are too costly, hazardous, or time-consuming. A carefully chosen subset of factor-level combinations — the fractional factorial array — is executed inside a validated simulation model instead of (or alongside) a real process, dramatically reducing resource requirements while preserving the ability to identify main effects and low-order interactions.	Central Composite Design (CCD) is a second-order response surface design that allows researchers to efficiently fit a full quadratic model relating multiple continuous input factors to one or more response variables. Introduced by Box and Wilson in 1951, it combines a factorial (or fractional factorial) core, axial (star) points, and center-point replicates into a single unified design, making it the most widely used design for process optimization in engineering, chemistry, and manufacturing.