Learn how to analyze measurement systems (MSA) for attributes or categorical data during Six Sigma projects.
- Sometimes, your projects may have to deal with…discrete or categorical data.…For instance, say a defect rate is 75%,…or what if Reason Code B accounts for 80%…of all calls to customer service.…Before using this data,…a Measurement System Analysis, or MSA, for attributes…must be done to ensure the data from the evaluation…of attributes is valid.…The assessment of attributes may result in a pass/fail…on an inspection,…or it could be the classification of incoming calls…by customer service reps, as to whether…it's Reason Code A, B, C, or D.…
This type of MSA is called Attribute Agreement Analysis.…In Attribute Agreement Analysis,…you want to evaluate three calculations.…First, the percent agreement between appraisers,…which measures reproducibility.…Next, the percent agreement within appraisers,…which measures repeatability.…And the percent agreement with the expert, or standard.…To conduct an Attribute Agreement Analysis,…there must be multiple items to be evaluated.…
There also needs to be at least two trials…so repeatability can be assessed,…
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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