方法证据记录
Robust Full Factorial Design
Robust full factorial design extends the classical full factorial experiment by explicitly including noise factors — uncontrollable variables that cause performance variation in real-world conditions. By crossing all control factor levels with all noise factor levels in a single combined array, engineers identify control factor settings that maximize mean performance while minimizing sensitivity to noise, yielding products and processes that perform consistently across operating environments.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Robust Full Factorial Design of Experiments
分类方法记录 · process-pipeline / experimental-design
- Phadke, M. S. (1989). Quality Engineering Using Robust Design. Prentice Hall. · ISBN 978-0137451678
- Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. · ISBN 978-1119113478
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