Learn how to sustain new performance levels in your Six Sigma projects. Dr. Richard Chua discusses how to use Statistical Process Control charts (SPC charts) to control a process, by indicating when to intervene and when to refrain from intervention.
- Even if improvements are made during the Improve Phase…of your Six Sigma project,…what good are they if performance level is not sustained?…Controlling an Improve process is key.…Control means acting on information regarding the process.…For example, if oven temperature is too hot,…we should not just enjoy the view, but we should take action…to bring the temperature down to its target level.…Statistical Process Control, or SPC Charts are how operators…and process owners can control the process…by indicating when to intervene and take action,…or when to leave the process alone.…
The focus of SPC is on process variation.…Process variation has two categories: random and non-random.…Random variation is due to chance or common causes.…Such variation is systemic, chronic,…or common to the process.…Any pattern of variation is within the limits…of a routine process.…For example, variation might be due…to poor workstation design,…poor methods, poor training, or supervision.…
If only common causes of variation exist,…
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