See how to:

• Address key assumptions for MSA (Parts do not change form over time and are not changed by measuring them)
• Overcome inability to repeat measurements when key MSA assumptions are violated
• Perform and interpret desctructive test that assumes perfect material and likely overestimates part-to-part variation
  

  • Assume material within a lot or a batch is uniform

  • Gather multiple lots where each lot represents a part

  • Subdivide lots so that each subdivision will represent a repeat measurement when tested

  • Test all parts in a random order.

  • Analyze using EMP method.

• Perform and interpret desctuctive test that assumes perfect test and likely underestimates part-to-part variation

  • Use a nondestructive test that correlates well with the destructive test

  • Build a calibration curve from destructive and nondestructive test data

  • Test parts nondestructively in a random order

  • Test parts destructively in a random order

  • Use the formula from the calibration curve to scale the nondestructive data

  • Combine results

  • Analyze using the EMP method
     

Notes: Questions are included at the end of the demo, beginning at ~ Time 32:30.

Resources

• Mastering JMP video and resources: Using the EMP Method for Measurement System Analysis
• Gauge R&R Studies for Destructive Measurements by Jeroen De Mast and Albert Trip 
• Measurement Systems Analysis for Curve Data (JMP Discovery Summit presentation)

A reminder that to contact Jason Wiggins in comments, include @Jason_Wiggins. in your comment. Measurement Systems Analysis.zip is a zipped version of Jason's JMP 16 Project used in the session.