In this video, Dr. Richard Chua discusses six process performance metrics to measure to improve Six Sigma projects. Learn how to calculate and analyze process performance metrics such as DPU, DPMO, RTY, and COPQ.
- As the late management expert Peter Drucker said,…"If you can't measure it, you can't improve it."…This is very true for Six Sigma projects, so let's talk…about some commonly used process performance metrics.…They are DPU, defects per unit,…DPO, defects per opportunity,…DPMO, defects per million opportunities,…RTY, rolled throughput yield, COQ, cost of quality,…and COPQ, cost of poor quality.…
Let's discuss each of these using an example.…Say your job is to process and send customer refund checks…and three things can go wrong on a refund check,…name, address and amount.…We say that there are three opportunities…for defects in each refund check,…or we have three defect opportunities.…If an audit of 1,000 refund checks found 600 defects,…then the defects per unit is the total number of defects…divided by the total number of units.…
In this case, DPU is 600 divide by 1,000,…which gives us 0.6 defects per unit or DPU.…The DPO metric, or defects per opportunity, is…the total number of defects found…divided by the total number of defect opportunities.…
Dr. Richard Chua builds upon his Six Sigma Foundations and Learning Minitab courses, and covers an array of topics, including measurement system analysis, descriptive statistics, hypothesis testing, design of experiments, statistical process control, and more.
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- Six Sigma and the organization
- Collecting the voice of the customer
- Project management basics
- Process maps
- Sampling in data collection
- Measurement system analysis
- Measuring performance using descriptive statistics
- Process performance measures
- Hypothesis testing
- Testing for means, variances, proportions, and independence
- Correlation and regression
- Using selection matrices
- Using failure modes and effects analysis
- Developing control plans
- Statistical process control