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GR&R on Automated Inspection Cell
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GR&R on Automated Inspection Cell
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  Post Number #9  
Old 14th August 2018, 11:56 AM
Bev D's Avatar
Bev D

Total Posts: 3,614
Re: GR&R on Automated Inspection Cell

There are other reasons for getting the continuous data other than whether or not it will be used to 'adjust' the equipment...

Since many of my products (which are measurement devices) are used for pass/fail calls I have found that the continuous data can be invaluable in helping to understand how to improve the measurement system when:

- There are many parts at the pass/fail margin: which I determine by a histogram of the continuous data over a larger period of time so I know how to select my MSA samples such that they are representative of the population distribution)

- The measurement system variation is larger than the marginality of results (in other words the MSA fails)

Of course if your parts are representative of the distribution of results and you pass the MSA then you don't need to gather the continuous data.
Thanks to Bev D for your informative Post and/or Attachment!

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  Post Number #10  
Old 14th August 2018, 12:51 PM
bobdoering's Avatar

Total Posts: 4,094
Re: GR&R on Automated Inspection Cell

I was going to add to my comment that there may be academic reasons - or deeper analysis needs, especially if the machine fails - to collect variable data, but I left it out to simplify the point that a machine designed to tell good parts from bad parts really needs to prove that it can do just that. Sometimes people overlook the simple answer when it may answer the question they are asking.
  Post Number #11  
Old 14th August 2018, 01:24 PM
John Predmore

Total Posts: 6
Re: GR&R on Automated Inspection Cell

The classical GR&R studies the variability of the measuring device separate from the variability from the human operator. With an automated test station, the influence of the human operator (the textbook definition of “reproducibility”) is meaningless if the operator does nothing but press the cycle start button.

However, the GR&R approach can still provide valuable information, for example, what portion of variability is due to the instrument (electronics may have drift or non-linearities, even with no moving parts) versus the part loading cycle (which often involves mechanical motion, and a single part is not positioned in precisely the same position with repeated loading). You can call the part loading cycle “reproducibility” even though untouched by human hands. Many times, the automatic test station in setup mode can retest the part 3 times without unclamping the part. Running repeat measurements without unclamping does not randomize the measurement order, so if there are bias effects over time such as changes in ambient temperature, your analysis might conclude spurious effects. Repeating the automatic test in a different order would be one way to detect confounding of bias-over-time.

If you wanted to study whether the automated station gives the same result on 3 separate days (or 3 different hours, if you suspect ambient temperature is a factor) you could run the same set of parts in pre-determined random order at different times, and call that “reproducibility”. What you hypothesize is each part will test the same way. If not, the difference will be highlighted once you examine the results graphically.
Thanks to John Predmore for your informative Post and/or Attachment!

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