
Design of Experiment (DOE) is a systematic method to determine the relationship between factors affecting a process and the output of that process. When applied to complex systems, sub-modules, or components, DOE helps identify the main factors that most influence performance or reliability. The orthogonal matrix approach in DOE is a powerful technique that significantly shortens the search for these critical factors while controlling variability and optimizing system behavior.
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