Topics covered in this 2-hour session on Statistical Process Control
- MSA
- Control Chart
- Capability analysis
- Multiple variables (process screening, multivariate control chart)
- Specifics situations (non-normal data)
Part1: Measurement System Analysis
Prior to any SPC analysis and monitoring, it is essential to validate repeatability and reproducibility through a study of the measurement systems.
Part2: Control Chart & Capability analysis
To control the process and keep informed of deviations, the control chart is the recommended statistical tool. The control chart builder enables these charts to be constructed in just a few clicks. This section also looks at the subject of capability analysis, to answer the question: is my system capable? i.e. is it capable of staying within my specification limits?
Part3: Multiple Data situations
More and more sensors mean more and more data and the ability to monitor processes. This can lead to monitoring complexity. Various JMP tools, presented in this section, can help.
Part4: Non normal distributed data
what if my data doesn't follow a normal distribution? should I transform it by applying a logarithmic or other function? or should I extract the quantile informations to define my capability analysis? No! things are much simpler with JMP
