Terminology is key in understanding the Six Sigma process. Dr. Richard Chua discusses essential terms for measurement system analysis (MSA) for continuous data in this video.
- When I'm in a fitness and weight loss program,…I want to know that I can trust my weight measurements,…regardless of whether I weigh myself at home,…or have a nurse do it at my doctor's office,…or by officials at the Olympics.…The measurement system must be valid…and include everything, the instruments,…the operator, the collection procedures…to measure and record data.…In Six Sigma projects, we also use a technique called…the Measurement System Analysis or MSA for short.…MSA is done early during the measure phase,…so that any data to be collected or used is valid.…
Let's take a look at using MSA for continuous data.…When measurements are made, the variation that's observed…consists of two major components,…the actual part-to-part variation…and the measurement system variation or error.…Ideally the measurement system variation should be zero,…so that the observed equals the actuals,…but there's always going to be…some measurement system variation.…Hopefully it's a minimal percentage…compared to the total variances observed.…
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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