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| Thiết kế Toàn yếu tố trong Ứng dụng Công nghiệp× | Phương pháp Bề mặt Đáp ứng (RSM)× | |
|---|---|---|
| Lĩnh vực | Thiết kế thí nghiệm | Thiết kế thí nghiệm |
| Họ≠ | Process / pipeline | Hypothesis test |
| Năm ra đời≠ | 1926 (foundational); industrially systematized by Box, Hunter & Hunter ~1950s–1978 | 1951 |
| Người khởi xướng≠ | Ronald A. Fisher | George E. P. Box & K. B. Wilson |
| Loại≠ | Experimental design / factorial experiment | Second-order polynomial response surface model |
| Công trình gốc≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443 | 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. link ↗ |
| Tên gọi khác≠ | industrial FFD, full factorial experiment, complete factorial design, 2^k factorial design | RSM, Central Composite Design, Box-Behnken Design, CCD |
| Liên quan≠ | 3 | 7 |
| Tóm tắt≠ | Full factorial design (FFD) applied in industrial settings is a structured experimental methodology in which every combination of factor levels is tested, enabling engineers to quantify main effects and all interaction effects among process or product variables. Widely used in manufacturing, chemical processing, materials science, and quality engineering, it provides a complete picture of how input factors jointly influence a response variable such as yield, strength, or defect rate. | Response Surface Methodology is a collection of statistical and mathematical techniques for building an empirical second-order polynomial model that relates a continuous response variable to two or more controllable input factors, and then locating the factor settings that optimize that response. The approach was introduced by George E. P. Box and K. B. Wilson in their landmark 1951 paper and has since become a cornerstone of process optimization across engineering, chemistry, food science, and pharmaceutics. |
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