Сравнение методов

	Анализ чувствительности с центральным композиционным планом	Дизайн Бокса-Бенкена
Область	Планирование эксперимента	Планирование эксперимента
Семейство	Process / pipeline	Process / pipeline
Год появления	1951 (CCD); SA integration throughout 1970s–2000s	1960
Автор метода	G. E. P. Box and K. B. Wilson (CCD); sensitivity analysis formalised within RSM by Montgomery and subsequent practitioners	George E. P. Box and Donald W. Behnken
Тип	Quantitative experimental design with post-hoc sensitivity assessment	Response surface design (incomplete three-level factorial)
Основополагающий источник	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.	Box, G. E. P., & Behnken, D. W. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455–475.
Другие названия	SA-CCD, CCD sensitivity analysis, RSM sensitivity analysis, response surface sensitivity study	BBD, Box-Behnken, Box-Behnken RSM design, three-level incomplete factorial design
Связанные	4	3
Сводка	Sensitivity analysis with Central Composite Design (CCD) combines a structured, space-filling experimental layout with a systematic examination of how much each input factor drives changes in the response. CCD supports estimation of a full quadratic response surface model; sensitivity analysis then interrogates that model to rank factors by influence, identify interactions, and map the performance landscape — guiding engineers and researchers toward robust operating conditions and efficient optimisation.	The Box-Behnken design (BBD) is an efficient response surface methodology design that fits a full second-order polynomial model using three levels of each factor. Introduced by Box and Behnken in 1960, it places experimental points at the midpoints of the edges of a hypercube and at the center, avoiding the corner points where all factors are simultaneously at their extreme levels. This structure makes BBD particularly attractive when extreme-level combinations are physically impossible, costly, or unsafe to test.