Σύγκριση μεθόδων

	Ανάλυση Ευαισθησίας με Σχεδιασμό Box-Behnken	Κεντρικός Σύνθετος Σχεδιασμός
Πεδίο	Πειραματικός Σχεδιασμός	Πειραματικός Σχεδιασμός
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1960 (BBD); sensitivity integration formalized 2000s–2010s	1951
Δημιουργός	Box & Behnken (design, 1960); Saltelli et al. (sensitivity framework, 2000s)	George E. P. Box and K. B. Wilson
Τύπος	Integrated experimental-design and sensitivity-analysis technique	Response surface experimental design
Θεμελιώδης πηγή	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.
Εναλλακτικές ονομασίες	SA-BBD, Box-Behnken sensitivity analysis, BBD with sensitivity analysis, sensitivity-augmented Box-Behnken design	CCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Συναφείς	5	3
Σύνοψη	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.	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.