방법 비교

	최적화 보조 중심 합성 설계	중심합성계획
분야	실험설계	실험설계
계열	Process / pipeline	Process / pipeline
기원 연도	1951 (CCD); optimization coupling formalized 1970s–1990s	1951
창시자	Box & Wilson (CCD, 1951); optimization integration by Myers, Montgomery & colleagues	George E. P. Box and K. B. Wilson
유형	Experimental design with mathematical optimization	Response surface experimental design
원전	Myers, R. H., Montgomery, D. C., & Anderson-Cook, C. M. (2009). Response Surface Methodology: Process and Product Optimization Using Designed Experiments (3rd ed.). Wiley. ISBN: 978-0470174463	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.
별칭	CCD with optimization, optimized CCD, RSM-CCD optimization, central composite design with response optimization	CCD, Box-Wilson design, central composite response surface design, rotatable central composite design
관련	3	3
요약	Optimization-assisted central composite design (CCD) combines the rotatable, second-order experimental layout of central composite design with mathematical optimization algorithms — typically desirability functions, response surface optimization, or metaheuristics — to find the factor settings that simultaneously maximize, minimize, or hit target values for one or more response variables. It is the most widely applied response-surface optimization workflow in chemical, pharmaceutical, food science, and manufacturing engineering.	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.