Learn how to design, conduct, and analyze 2k full-factorial experiments for Six Sigma projects. These experiments provide the means to fully understand all the effects of the factors—from main effects to interactions.
- After screening has been done…to narrow down the list of key X factors,…either during the analyze phase…or from a screening experiment,…a full factorial DOE allows you…to model using those key Xs to optimize Y.…2k full factorial designs provide the means…to fully understand all the effects of the factors,…from main effects to interactions.…For example, to determine the effects of sleep, study time,…and exam room temperature on test scores,…a two to the power of three factorial design was conducted.…
Here are the settings for the three variables.…The experiment was run twice,…so we say that there were two replicates.…Now, let's set up a DOE using Minitab.…To get started, open up Minitab with a new worksheet.…We have to create a worksheet for the DOE.…To do that, go up to Stat menu,…DOE.…Since you're doing factorial designs,…you'll choose Factorial…and Create Factorial Design.…
We have three factors in our experiment,…so select three.…We want a 2k full factorial design,…so we select Design and choose Full factorial.…
Dr. Richard Chua builds upon his Six Sigma: Green Belt, Six Sigma Foundations, and Learning Minitab courses—which are prerequisites to this course—and covers an array of topics, including measurement system analysis, hypothesis testing, response surface methods, displaying improved process capabilities, and more.
- Process flow metrics
- Measurement system analysis
- Calculating process capability
- Hypothesis testing
- Confidence intervals
- Testing for normality
- Designing, conducting, and analyzing full-factorial experiments
- Using fractional factorial experiments for screening
- Displaying improved process capability
Skill Level Intermediate
1. Define Phase
Overview of the Define phase3m 51s
2. Measure Phase
3. Analyze Phase
4. Improve Phase
5. Control Phase
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