เปรียบเทียบวิธี

	การออกแบบองค์ประกอบกลางแบบอิงความเสี่ยง	การวิเคราะห์ความน่าเชื่อถือทางสถิติ
สาขาวิชา	การออกแบบการทดลอง	ความเชื่อถือได้
ตระกูล	Process / pipeline	Regression model
ปีกำเนิด	1951 (CCD); risk-based integration emerged in applied engineering literature from the 1990s onward	1998
ผู้ริเริ่ม	Foundational CCD: George E. P. Box & K. B. Wilson (1951); risk integration adapted from engineering risk analysis traditions	William Meeker & Luis Escobar
ประเภท	Experimental design with integrated risk assessment	Parametric lifetime modeling
แหล่งต้นตำรับ	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.	Meeker, W. Q., & Escobar, L. A. (1998). Statistical Methods for Reliability Data. Wiley. ISBN: 978-0-471-14328-4
ชื่อเรียกอื่น	Risk-informed CCD, CCD with risk assessment, Uncertainty-aware central composite design, Risk-integrated RSM	Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi
ที่เกี่ยวข้อง	5	3
สรุป	Risk-based Central Composite Design (Risk-based CCD) integrates formal risk identification and uncertainty quantification into the classical CCD framework. By coupling the rotatable second-order experimental structure of CCD with probabilistic risk metrics, engineers and scientists can simultaneously optimize process responses and characterize the risk of unacceptable outcomes — making it particularly valuable in regulated industries such as pharmaceuticals, chemical engineering, and advanced manufacturing.	Statistical reliability analysis models the time-to-failure of components, systems, or products using parametric lifetime distributions fitted to observed or censored failure data. Formalized comprehensively by William Q. Meeker and Luis A. Escobar in their 1998 Wiley monograph, the framework integrates maximum likelihood estimation, censoring mechanisms, and distributional diagnostics to produce probability-of-failure curves, hazard rates, and quantile estimates that support design, warranty, and maintenance decisions.