MSA in Automatic Equipment - PCB Assembly - Help!

L

Licht

Hello. :bigwave:

I work in a company that assembles PCB with SMD and PTH components. I've read a lot of materials about MSA (gage R&R, linearity and bias), but in all I find the "classic example" of measurements made by operators in parts (for instance, measurementes of parts with caliper by appraisers/operators).

I'd like to know how to do an analysis of gage R&R, e.g., on a SMT Pick&Place or an In-Circuit Test (ICT) equipment which are automatic equipments and the operator apparently didn't influence the measurements. :confused:

Please, I need help on how to implement this?

:thanx:
 

qusys

Trusted Information Resource
Re: MSA in Automatic equipments Help !

Hello. :bigwave:

I work in a company that assembles PCB with SMD and PTH components. I've read a lot of materials about MSA (gage R&R, linearity and bias), but in all I find the "classic example" of measurements made by operators in parts (for instance, measurementes of parts with caliper by appraisers/operators).

I'd like to know how to do an analysis of gage R&R, e.g., on a SMT Pick&Place or an In-Circuit Test (ICT) equipment which are automatic equipments and the operator apparently didn't influence the measurements. :confused:

Please, I need help on how to implement this?

:thanx:

It looks like the process is "equipment dominant" rather than manpower dominant . The same situation that happens in seminconductor environment where automated equipment is the normal situation. My thought is that the reproducibility should not be affected in this case.
 

Bev D

Heretical Statistician
Leader
Super Moderator
exactly - automated equipment often has no operator dependency and so there is no operator contribution. the only caution is that you make sure there is no operator contribution to the system (I've CMM fixtures that were very operator dependent and of course many test procedures require some amount of sample prep that is also operator dependent.)

with ATE / vision systems you may need to perfrom your MSA across multiple test equipment as tehy will be different from each other...
 

qusys

Trusted Information Resource
exactly - automated equipment often has no operator dependency and so there is no operator contribution. the only caution is that you make sure there is no operator contribution to the system (I've CMM fixtures that were very operator dependent and of course many test procedures require some amount of sample prep that is also operator dependent.)

with ATE / vision systems you may need to perfrom your MSA across multiple test equipment as tehy will be different from each other...

Hi Bev D.
I agree with you as per my previous post.
My consideration is that in some industrial environment ( i mean electronic, semiconductor etc...) the operator only loads the production material on the inspection or test equipment and then run the equipment automatically.
If the product has some problem according to the recipes and programs released by engs on the equipment, it goes automatically on hold in the production line.
Based upon this consideration, the operation is not operator dependent .
 
L

Licht

Hello. :bigwave:

This is a refrigeration application.

Ok, I understand about the reproducibility and repeatability, when to apply each one of them, but do not understand how to do the analysis on an automated system (eg, SMT pick&place). I understand how to collect data of a "classic system" (eg. measurements with a caliper).
What types of measurements and how do I make an evaluation of gage R&R in a pick&place machine?

:thanx:
 

Miner

Forum Moderator
Leader
Admin
If the test is truly 100% automated with 0% influence from the operator when loading the parts and you do not have multiple stations or testers, you should consider a Type 1 Repeatability study.

If you have multiple testers or multiple stations, you should perform an R&R study, but substitute the testers/stations for the operator.

If the test results may be influenced in any way by the loading of the parts, then you should perform a standard R&R study.
 
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