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A DOE is a planned set of process runs used to find out how certain input factors affect the output of the process. The DOE uses pre-determined tests that measure the output at two or more settings for each input which will: determine the significance of each factor and combination of factors, allow efficient optimization, direct activity to rapid process improvements and provide a mathematical equation that helps determine the optimal settings for Potential KPIV.

The objectives of this module are to understand the different experimental types including Trial and Error, Shot Gun, OFAT, and DOE which includes: Classical, Taguchi, and Shainin. It also looks at the importance of an experimental plan.

This material is suitable for independent study or formal classroom training and includes quiz questions.

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Source: 064_Introduction to Design of Experiments (DOE) PowerPoint document


064_Introduction to Design of Experiments (DOE)

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File Type: PowerPoint (pptx)

File Size: 132.6 KB

Number of Slides: 21 (includes cover, transition slides)

Related Topic(s): Design of Experiments

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Initial upload date (first version): Jan 24, 2015

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