Сравнение на методи

	Анализ на чувствителността с дизайн на Box-Behnken	Дизайн на Бокс-Бенкен
Област	Планиране на експеримента	Планиране на експеримента
Семейство	Process / pipeline	Process / pipeline
Година на възникване	1960 (BBD); sensitivity integration formalized 2000s–2010s	1960
Създател	Box & Behnken (design, 1960); Saltelli et al. (sensitivity framework, 2000s)	George E. P. Box and Donald W. Behnken
Тип	Integrated experimental-design and sensitivity-analysis technique	Response surface design (incomplete three-level factorial)
Основополагащ източник	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., & Behnken, D. W. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455–475.
Други названия	SA-BBD, Box-Behnken sensitivity analysis, BBD with sensitivity analysis, sensitivity-augmented Box-Behnken design	BBD, Box-Behnken, Box-Behnken RSM design, three-level incomplete factorial design
Свързани	5	3
Резюме	Sensitivity analysis with Box-Behnken design combines a resource-efficient three-level response surface experiment with a systematic assessment of how much each input factor drives variation in the response. The Box-Behnken design (BBD) fits a second-order polynomial model using fewer runs than a full central composite design, while the overlaid sensitivity analysis quantifies each factor's relative influence — helping engineers and researchers distinguish the vital few drivers from the inconsequential many.	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.