Porównaj metody

	Optymalizacja wspomagana metodą powierzchni odpowiedzi	Central Composite Design
Dziedzina	Planowanie eksperymentów	Planowanie eksperymentów
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1951 (RSM); 1980 (desirability-function optimization formalized)	1951
Twórca	Derringer & Suich (desirability function); Box & Wilson (RSM foundation)	George E. P. Box and K. B. Wilson
Typ	Hybrid experimental-optimization framework	Response surface experimental design
Źródło pierwotne	Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214–219.	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.
Inne nazwy	OA-RSM, RSM with optimization, desirability-based RSM, multi-response RSM optimization	CCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Pokrewne	5	3
Podsumowanie	Optimization-assisted RSM couples a second-order response surface model with a mathematical optimization routine — most commonly Derringer and Suich's desirability function, but also genetic algorithms or gradient-based solvers — to locate the factor settings that simultaneously satisfy multiple quality or performance objectives. The result is a data-driven recommendation for optimal process or product conditions, supported by a polynomial model fitted to a structured experimental design.	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.