Design of Experiments实验设计
Design of Experiments is a structured method for studying how multiple factors affect a response by changing factor settings together according to a planned matrix and analyzing the results statistically. In manufacturing documentation it appears in process-development studies, quality-improvement projects, and validation reports where teams screen factors, identify interactions, and determine robust operating conditions with fewer trials than one-factor-at-a-time testing.
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Where this term appears
In localization, DOE appears in engineering reports, quality-improvement plans, validation protocols, and statistical software documentation. Translators often encounter terms like factor, level, response, interaction, and randomization; these must be kept semantically distinct because they define the experimental structure, the analysis logic, and the conclusions reported to production and quality teams.
Translation checks
A frequent error is translating 'factor' and 'level' as the same local word for 'variable' or 'condition,' which obscures the experiment design. Another is treating 'interaction' as general 'relationship'; in DOE it means a specific statistical effect where one factor's influence depends on the level of another, and losing that distinction can change the technical conclusion.
Keep the term aligned across your files
Check equipment names, units, safety instructions and interface labels against the source and approved references. Confirm any market-specific document requirements separately.
Provide approved terms and previous translations with the source files. Agree how variants, ambiguous wording and revisions will be reviewed. Terminology maintenance and any termbase handback are confirmed in the project scope. See the 8-step AI + expert workflow.
Related document experience
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Read the published project →Published scope shows related industry experience; it does not confirm that this specific term was used or reviewed in the project.
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