Hello we manufacture ATE (Hardware & Test Software) mainly for automotive and would like to embed MSA in our Software to be used both internally (before shipping testers to customers) and at customer site for monitoring the ATE quality. Before asking I've read tons of post here but I need some confirmation (if possible) from you experts about the correct approach.
First of all let me describe the ATEs:
each ATE can be made of 1 or more (up to 40) test bay.
I am considering to embed in our SW (preliminary) Gage Study type-1 and then a GR&R. Well let's come to the point; ATE typical aspects are:
I've read your posts but I'm a bit confused so I need just some confirmation. If I correctly got the point I have two main choices:
1) GR&R Replacing Operator(s) with Test Bays:
some expert suggested to use ANOVA on Minitab: Why ANOVA and not Averages and Ranges?
Does it make sense to have a large (let's suppose 30) number of test Bays?
2) We could avoid considering Operator(s) contribution:
in this case we could perform Gage Study type-1 (Golden sample teste 50times) over each test Bay and then may by ANOM (analysis of Means) in order to check the test Bays correlation. Does it make sense? Should we also consider Cp/Cpk?
Thank you for reading this post,
Giovanni
First of all let me describe the ATEs:
each ATE can be made of 1 or more (up to 40) test bay.
I am considering to embed in our SW (preliminary) Gage Study type-1 and then a GR&R. Well let's come to the point; ATE typical aspects are:
- No Operator
- Several Test Bays to be correlated.
I've read your posts but I'm a bit confused so I need just some confirmation. If I correctly got the point I have two main choices:
1) GR&R Replacing Operator(s) with Test Bays:
some expert suggested to use ANOVA on Minitab: Why ANOVA and not Averages and Ranges?
Does it make sense to have a large (let's suppose 30) number of test Bays?
2) We could avoid considering Operator(s) contribution:
in this case we could perform Gage Study type-1 (Golden sample teste 50times) over each test Bay and then may by ANOM (analysis of Means) in order to check the test Bays correlation. Does it make sense? Should we also consider Cp/Cpk?
Thank you for reading this post,
Giovanni