2
2wrongsmake1right
MSA in destructive mechanical testing (tensile). We have to qualify and validate all of our tests. We went for Nested GRR but we failed in creating the (we went for 6) series of homogenous parts. GRR nested (minitab) returned a NDC of only 2, Total GRR 18,5%. I guess that part-part variation was too large compared to the averages between series. Oh well what do?.
How about this for a MSA when high Cp:
Calibrate load cell and tensile tester.
Get 3 Trained operators. Name the trainer of other operators the master.
Run 3 sets of 50 parts all at one time. From single cavity or machine as good as you can.
Assume parts to be identical across the 3 sets and little to no part-part variation within set.
Test the 3 series using the 3 operators.
Pass normality test for each set
Run ANOVA. If good then there is no significant operator contribution.
The master operator should have the "perfect" average so add the distance of means from your poorest operator to your acceptance criteria. Get the pooled standard deviation and multiply it with 6. Add this to your acceptance criteria.
Pass qualification test with Cpk of 1,67.
This can from time to time triple your original acceptance criteria so this is best for very high Cp product, so is there a better more realistic way? All your part-part variation is converted into measurement uncertainty
Thanks
How about this for a MSA when high Cp:
Calibrate load cell and tensile tester.
Get 3 Trained operators. Name the trainer of other operators the master.
Run 3 sets of 50 parts all at one time. From single cavity or machine as good as you can.
Assume parts to be identical across the 3 sets and little to no part-part variation within set.
Test the 3 series using the 3 operators.
Pass normality test for each set
Run ANOVA. If good then there is no significant operator contribution.
The master operator should have the "perfect" average so add the distance of means from your poorest operator to your acceptance criteria. Get the pooled standard deviation and multiply it with 6. Add this to your acceptance criteria.
Pass qualification test with Cpk of 1,67.
This can from time to time triple your original acceptance criteria so this is best for very high Cp product, so is there a better more realistic way? All your part-part variation is converted into measurement uncertainty
Thanks