方法对比
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| 实验设计优化辅助× | 中心复合设计× | |
|---|---|---|
| 领域 | 实验设计 | 实验设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1980 (desirability approach); broader integration through 1990s–2000s | 1951 |
| 提出者≠ | Derringer & Suich (desirability function); extended by Myers, Montgomery, and Anderson-Cook | George E. P. Box and K. B. Wilson |
| 类型≠ | Hybrid experimental-optimization method | Response surface experimental design |
| 开创性文献≠ | Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214–219. DOI ↗ | 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. DOI ↗ |
| 别名 | OA-DoE, DoE with optimization, optimization-integrated DoE, multi-objective experimental optimization | CCD, Box-Wilson design, central composite response surface design, rotatable central composite design |
| 相关≠ | 4 | 3 |
| 摘要≠ | Optimization-assisted design of experiments (OA-DoE) couples a structured experimental plan with a mathematical optimization engine to locate factor settings that simultaneously satisfy multiple response objectives. Rather than stopping at fitting a response surface model, the analyst applies desirability functions, genetic algorithms, or other optimizers to the fitted model to identify the global or near-global optimum across all responses of interest. | 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. |
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