Salīdzināt metodes

	Dizains ar jaukto daļējo faktoriālu izkārtojumu	Centrālais kompozītais plāns
Nozare	Eksperimentu plānošana	Eksperimentu plānošana
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1970s–1990s (formalized as a distinct design class)	1951
Autors	Developed across the DOE community; foundational contributions by Box, Hunter & Hunter and Wu & Hamada	George E. P. Box and K. B. Wilson
Tips	Experimental design	Response surface experimental design
Pirmavots	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478	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.
Citi nosaukumi	HFFD, hybrid FFD, combined fractional factorial design, mixed fractional factorial design	CCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Saistītās	3	3
Kopsavilkums	A hybrid fractional factorial design (HFFD) merges two or more fractional factorial sub-designs — often involving factors at different numbers of levels or with different aliasing structures — into a single coordinated experiment. The goal is to achieve estimation capabilities (main effects, targeted two-factor interactions) that no single standard fractional design can provide within the same run count, making it especially valuable in engineering development and industrial process optimization.	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.