Process Capability Analysis 2019 is an event dedicated to process capability reflects the ability of a manufacturing process to meet specifications.
Process Capability Analysis 2019 covers topics such as:
- Know that Cp (and the related Cpk metric) reflects short-term variation, while Pp and Ppk reflect long-term variation. If the rational subgroup (sample) is selected properly, it will reflect all the variation sources, and the two measurements will be roughly equal. If the sample reflects only short-term variation, then Cp will be larger than Pp, and statistical process control charts may also be dysfunctional because the control limits will be too tight.
- Understand the process capability index (Cp) and process performance index (Pp) as ratios of the specification width to the process variation. Recognize that a non-capable process is similar to a smoothbore musket, which will often miss the target regardless of how well it is centered on the bulls-eye (nominal). A Six Sigma process will on the other hand miss only twice out of every billion opportunities if it is centered on the nominal.
- Know how to perform a capability study. This includes not only the calculations, but also the need to keep a control chart to reveal the presence of special or assignable cause variation. A good capability study relies on the assumption that only common cause variation is present.
- Know how to test the data for non-normal distributions, and apply off-the-shelf methods to calculate meaningful and accurate process performance indices. Be sure to create a histogram and a probability plot, and perform quantitative tests for goodness of fit. These tests can also be performed for most non-normal distributions.
Process Capability Analysis 2019 intended for:
- Manufacturing Departments
- Quality Departments
- Production Departments
- Engineering Departments
- Quality Technicians and Inspectors
