Krahasoni metodat

	Analiza e ndjeshmërisë-Metodologjia e integruar e sipërfaqes së përgjigjes	Dizenjimi Box-Behnken
Fusha	Dizajni eksperimental	Dizajni eksperimental
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	1990s–2000s (integration practice)	1960
Krijuesi	Box & Wilson (RSM, 1951); Saltelli et al. (global SA framework, 1990s–2000s)	George E. P. Box and Donald W. Behnken
Lloji	Hybrid experimental-analytical method	Response surface design (incomplete three-level factorial)
Burimi themelues	Myers, R. H., Montgomery, D. C., & Anderson-Cook, C. M. (2016). Response Surface Methodology: Process and Product Optimization Using Designed Experiments (4th ed.). Wiley. ISBN: 978-1118916018	Box, G. E. P., & Behnken, D. W. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455–475.
Emërtime të tjera	SA-RSM, RSM with sensitivity analysis, sensitivity-augmented RSM, response surface methodology with factor screening	BBD, Box-Behnken, Box-Behnken RSM design, three-level incomplete factorial design
Të lidhura	5	3
Përmbledhja	Sensitivity analysis-integrated RSM couples a structured experimental design with a formal sensitivity analysis of the fitted response surface model. After estimating a polynomial surrogate from designed experiments, global or local sensitivity indices are computed to quantify each input factor's relative contribution to output variability. This allows practitioners to identify which factors truly drive the response before committing to full optimization, reducing cost and improving the reliability of the final optimum.	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.