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Category: Improve

Improve phase of DMAIC

Ted Hessing

Factors in an Experiment

Posted by Ted Hessing

In most experiments, you’ll have a number of factors to deal with. These are elements that affect the outcomes of your experiment. They fall into a few basic categories:

This entry was posted in Analyze, Design of Experiments (DOE), Improve and tagged ASQ, Black Belt, DOE, IASSC, Villanova. Bookmark the permalink.
Ted Hessing

Partial and Fractional Factorial Design

Posted by Ted Hessing

Choose Partial/Fractional Factorial Designs when full factorial design experiments are too time and/or cost-prohibitive.

This entry was posted in Design of Experiments (DOE), Improve and tagged ASQ, Black Belt, DOE, IASSC, QuestionSet, Villanova. Bookmark the permalink.
Ted Hessing

Main Effects Plot

Posted by Ted Hessing

Use the Main Effects Plot to determine the relative impact of a variety of inputs on the output of interest.

This entry was posted in Implementation Planning, Improve and tagged ASQ, Black Belt, Green Belt, IASSC, QuestionSet. Bookmark the permalink.
Ted Hessing

Improve Phase (DMAIC)

Posted by Ted Hessing

The Improve Phase (DMAIC) leverages data to help you make informed decisions, develop a solution, and give it the best chance of success.

This entry was posted in Improve, Improve and tagged ASQ, Black Belt, IASSC, Villanova. Bookmark the permalink.
Ted Hessing

Measurement Systems Analysis (MSA)

Posted by Ted Hessing

Measurement Systems Analysis allows us to ensure that the variation in our measurement is minimal compared to the variation in our process.

This entry was posted in Improve, Measure, Measurement Systems Analysis and tagged ASQ, Black Belt, Green Belt, IASSC, QuestionSet, Villanova, Yellow Belt. Bookmark the permalink.
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