In this video, Dr. Richard Chua explains how to calculate process capability in your Six Sigma project.
- Imagine a house with a garage, perhaps it's yours.…Is your car capable of entering the garage safely…without hitting either side of the garage doorway?…Yes.…Why?…Well, I know it's obvious…but it's because the width of the doorway…is wider than the width of the car.…Now, imagine your car is a process.…And the width of your car represents…a natural process spread of variation.…Looking at the garage doorway,…visualize that the lower and upper specification limits…are left and right edges of the doorway.…
The width of the car or the process spread,…in our analogy, can fit in…because it is narrower than the specification width.…But what if the process was as wide as a school bus?…Then it wouldn't be capable of going through the doorway.…How capable the car, the bus, or the process…is in meeting the specification width…is called potential process capability or CP.…For a normal curve,…the process spread is six standard deviations.…
Three to the left and three to the right side of the mean.…When CP is equal to or greater than one,…
Author
Released
5/25/2017Dr. 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
Duration
Views
Related Courses
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Learning Minitab
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Statistics Foundations: 2
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Six Sigma: Green Belt
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Lean Six Sigma: Define and Measure Tools
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Introduction
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Welcome1m 38s
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Certification information1m 31s
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Exercise files34s
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1. Define Phase
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Overview of the Define phase3m 51s
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2. Measure Phase
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Process flow metrics3m 34s
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Sample sizes3m 7s
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3. Analyze Phase
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Hypothesis testing road map3m 33s
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Confidence intervals3m 14s
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Test for normality2m 49s
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Compare variances5m 16s
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T-tests6m 4s
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ANOVA3m 55s
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Contingency tables6m 49s
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Nonparametric tests6m 49s
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Correlation3m 45s
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Linear regression4m 38s
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Multiple regression5m 5s
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4. Improve Phase
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Full-factorial experiments9m 19s
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DOE with curvature6m 27s
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Response surface methods8m 37s
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5. Control Phase
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SPC chart selection4m 46s
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SPC chart analysis5m 1s
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Conclusion
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Next steps56s
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Video: Process capability for continuous data