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.

Exponentially Weighted Moving Averagae Charts are useful for detecting small process shiftsExponentially Weighted Moving Averagae Charts are useful for detecting small process shifts

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)