algo-mfg-doe
Design of Experiments (DOE)
Overview
DOE systematically varies process factors to identify their effects on responses. Full factorial tests all combinations; fractional factorial tests a strategic subset. Identifies main effects and interactions. More efficient than one-factor-at-a-time (OFAT) which misses interactions. Uses ANOVA for analysis.
When to Use
Trigger conditions:
- Identifying which process factors significantly affect quality/yield
- Optimizing process settings for target performance
- Screening many factors to find the vital few
When NOT to use:
- When the process is not stable (stabilize with SPC first)
- For observational data with no ability to manipulate factors
Algorithm
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