Screening and Controlling Manufacturing Processes
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See how to:
- Use Process Stability and Process Screening to help control complicated manufacturing processes
- Screen processes for many (1000+) process variables over time to determine process stability
- Import multiple files and format for process analysis
- Screen for outliers by quartile range and handle outliers as appropriate
- Save outlier cleanup script for future use
- Screen for missing values
- Use Process Screening Control Chart to examine quality trends
- Interpret Stability Index to locate less stable subgroups
- Identify questionable areas and run Individual Moving Range Charts to examine and identify possible cause of variation
- Determine process capability
- Interpret 4-quadrant Process Performance Plot to compare and assess capability and stability combinations
- Drill into Control Charts for variable of interest
- Screen historical data to find variables most likely to impact your process
- Use Model-Driven Multivariate Control Charts to monitor parameters for multiple processes
- Interactively explore and understand the underlying components that lead to out-of-control signals
Note: Q&A is interspersed throughout the video beginning at time ~18:40. At time ~30:50, you can see the EWMA (Exponentially Weighted Moving Average) Chart which was updated in JMP 16 to include more interactivity and functionality. EWMA is useful to detect small shifts in a process.
Resources
- Blog with instructions for 3 capabilities added to Process Screening in JMP 16 (single-launch XBar and IMR charts; ability to color and select out of spec values. ability to alter KSigma to make alarm tests more or less sensitive)