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
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Assume material within a lot or a batch is uniform
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Gather multiple lots where each lot represents a part
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Subdivide lots so that each subdivision will represent a repeat measurement when tested
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Test all parts in a random order.
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Analyze using EMP method.
- Perform and interpret desctuctive test that assumes perfect test and likely underestimates part-to-part variation
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Use a nondestructive test that correlates well with the destructive test
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Build a calibration curve from destructive and nondestructive test data
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Test parts nondestructively in a random order
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Test parts destructively in a random order
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Use the formula from the calibration curve to scale the nondestructive data
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Combine results
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Analyze using the EMP method
Notes: Questions are included at the end of the demo, beginning at ~ Time 32:30.
Resources
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.