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| Thiết kế toàn yếu tố có hỗ trợ mô phỏng× | Thiết kế Thí nghiệm× | |
|---|---|---|
| Lĩnh vực | Thiết kế thí nghiệm | Thiết kế thí nghiệm |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1990s–2000s (simulation-DOE integration formalized) | 1935 |
| Người khởi xướng≠ | Montgomery (DOE foundations); Kleijnen (simulation DOE formalization) | Ronald A. Fisher |
| Loại≠ | Experimental design with computer simulation | Experimental planning framework |
| Công trình gốc≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| Tên gọi khác | SA-FFD, computer simulation full factorial, virtual full factorial design, simulation-based full factorial DOE | DOE, experimental design, factorial experimentation, planned experimentation |
| Liên quan≠ | 4 | 3 |
| Tóm tắt≠ | Simulation-assisted full factorial design integrates full factorial design of experiments (DOE) with computer simulation models — such as discrete-event simulation, finite element analysis, or Monte Carlo methods — to systematically explore every combination of factor levels and quantify their effects on system responses. It enables comprehensive experimentation in contexts where physical trials would be costly, dangerous, or infeasible. | Design of Experiments (DOE) is a systematic framework for planning, conducting, and analyzing controlled experiments to determine how multiple input factors simultaneously affect one or more responses. Introduced by Ronald A. Fisher in 1935, DOE allows researchers and engineers to identify causal relationships, quantify factor effects, and find optimal settings efficiently — using far fewer runs than one-factor-at-a-time approaches. It is foundational in engineering, manufacturing, agriculture, and applied sciences. |
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