Сравнение на методи

	Robust Fractional Factorial Design	Централен композитен дизайн
Област	Планиране на експеримента	Планиране на експеримента
Семейство	Process / pipeline	Process / pipeline
Година на възникване	1980s (Taguchi's crossed-array approach); fractional factorial roots 1935–1945	1951
Създател	Genichi Taguchi (robust parameter design); fractional factorial foundations by Ronald Fisher and Frank Yates	George E. P. Box and K. B. Wilson
Тип	Experimental design / robust parameter design	Response surface experimental design
Основополагащ източник	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443	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.
Други названия	robust FFD, robust fractional factorial experiment, crossed-array fractional factorial, Taguchi-style fractional factorial	CCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Свързани	2	3
Резюме	Robust fractional factorial design combines the run-count efficiency of fractional factorial arrays with Taguchi's robust parameter design philosophy. By simultaneously manipulating control factors (inner array) and noise factors (outer array) — each structured as a fractional factorial — the method identifies factor settings that minimize product or process variation due to uncontrollable conditions, without requiring a full factorial experiment.	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.