So sánh phương pháp

	Phương pháp Bề mặt Phản ứng dựa trên Rủi ro	Thiết kế Lập phương Trung tâm
Lĩnh vực	Thiết kế thí nghiệm	Thiết kế thí nghiệm
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1990s–2000s (risk-based extensions)	1951
Người khởi xướng	Builds on Box & Wilson (1951) RSM; risk integration formalized in engineering reliability literature from the 1990s onward	George E. P. Box and K. B. Wilson
Loại	Experimental optimization with probabilistic risk constraints	Response surface experimental design
Công trình gốc	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.
Tên gọi khác	Risk-based RSM, reliability-based RSM, probabilistic RSM, risk-integrated response surface methodology	CCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Liên quan	5	3
Tóm tắt	Risk-based Response Surface Methodology (Risk-based RSM) extends classical RSM by embedding probabilistic risk or reliability constraints into the experimental optimization process. Rather than seeking a single optimal point under deterministic conditions, it identifies factor settings that achieve performance goals while keeping the probability of failure or unacceptable outcomes below a specified threshold — making it especially valuable in safety-critical and high-variability engineering contexts.	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.