Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Надійний центральний композиційний план× | Проектування Бокса-Бенкена× | |
|---|---|---|
| Галузь | Планування експерименту | Планування експерименту |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1951 (CCD); robust integration from 1980s–1990s | 1960 |
| Автор методу≠ | George E. P. Box & K. B. Wilson (CCD foundation); robust extension via Taguchi and Myers–Montgomery tradition | George E. P. Box and Donald W. Behnken |
| Тип≠ | Experimental design with robust optimization | Response surface design (incomplete three-level factorial) |
| Основоположне джерело≠ | 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., & Behnken, D. W. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455–475. DOI ↗ |
| Інші назви | Robust CCD, CCD with robust optimization, robust RSM with CCD, robust response surface CCD | BBD, Box-Behnken, Box-Behnken RSM design, three-level incomplete factorial design |
| Пов'язані≠ | 4 | 3 |
| Підсумок≠ | Robust Central Composite Design (Robust CCD) combines the efficient quadratic fitting capability of the central composite design with robust optimization principles to find factor settings that simultaneously achieve a target mean response and minimize the effect of uncontrollable noise factors on response variability. It is widely applied in manufacturing, chemical engineering, and product development when both performance and consistency under real-world variation are critical. | The Box-Behnken design (BBD) is an efficient response surface methodology design that fits a full second-order polynomial model using three levels of each factor. Introduced by Box and Behnken in 1960, it places experimental points at the midpoints of the edges of a hypercube and at the center, avoiding the corner points where all factors are simultaneously at their extreme levels. This structure makes BBD particularly attractive when extreme-level combinations are physically impossible, costly, or unsafe to test. |
| ScholarGateНабір даних ↗ |
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