In this video, learn how to use two-level fractional factorial experiments for screening. Fractional factorial designs enable you to screen a large number of factors to quickly determine which factors are the most significant in Six Sigma projects.
- What if you have many factors, let's say five,…and you're unsure of whether every one…has a significant impact.…How big should your experiment be?…A full 2K factorial design for five factors…will require two to the power of five,…or 32, treatment combinations.…With two replicates, that translates to 64 runs.…And if each run takes 30 minutes,…that's 32 hours of experiments.…You'll probably be fired before taking away…32 hours of production time.…
There must be a better way to do a quick screening…to determine which factors are significant to the response…and which are not.…In fact, there is.…It's called a screening experiment…using a 2K fractional factorial design.…Fractional factorial designs enable you…to screen a large number of factors…to quickly determine which are the most significant.…You can then focus on those few factors…in a follow-up experiment to optimize the response…using full factorial designs or response surface methods.…
Fractional factorial designs have fewer runs…compared to the same number of factors…
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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