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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- 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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Related methods
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