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  Statistical Techniques and 6 Sigma
  4.10.6.6 Laboratory Statistical Methods

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Author Topic:   4.10.6.6 Laboratory Statistical Methods
Marc Smith
Cheech Wizard

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From:West Chester, OH, USA
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posted 05 February 1999 11:45 PM     Click Here to See the Profile for Marc Smith   Click Here to Email Marc Smith     Edit/Delete Message   Reply w/Quote
Can anyone help out here?

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Don Winton
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posted 07 February 1999 09:25 AM     Click Here to See the Profile for Don Winton   Click Here to Email Don Winton     Edit/Delete Message   Reply w/Quote
Marc,

I am not familiar with this (4.10.6.6 Laboratory Statistical Methods) clause. As you know, I do not do the QS thing on a regular basis. If you can e-mail me the text, perhaps I may have something that might help.

Regards,
Don

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Marc Smith
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From:West Chester, OH, USA
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posted 07 February 1999 10:55 AM     Click Here to See the Profile for Marc Smith   Click Here to Email Marc Smith     Edit/Delete Message   Reply w/Quote
4.10.6.6 "Laboratory Statistical Techniques"

"Appropriate statistical techniques should be applied to verification activities whose deliverables are data."

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Don Winton
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posted 07 February 1999 02:06 PM     Click Here to See the Profile for Don Winton   Click Here to Email Don Winton     Edit/Delete Message   Reply w/Quote
Marc,

quote:
äAppropriateä statistical techniques

Key word: Appropriate.

I do not know if this helps, but I submit them without a clue as to what assessors are looking for:

Paint Supplier: Supplier shipments indicate pigment content as average and variation. Which technique, if any, is used to verify the supplierās data is within your capability of acceptance?

Molding OEM Supplier: Supplier shipments indicate melt flow as average and variation. Which technique, if any, is used that the supplierās data is within your capability of acceptance?

Semiconductor Supplier: Series of shipments indicate the data are within +/- 1% of purchase order requirements. Which, if any, statistical technique would you use to verify this (sampling through destructive test, verification through inspection, etc., verification through regression analysis)?

Calibration Lab: The last three calibration CofCās indicate average (actual) measurement as x.xxx +/- y.yyy. Which statistical technique would you use, if any, to verify if this measurement error was within your acceptable and submitted(?) MSA?

Molding Color Supplier: Supplier indicates a recommended Let Down Ratio (LDR) of 1.0%. Which statistical technique, if any, would you use to verify that a 1% ratio is acceptable to your color testing requirements?

Machine Shop: Shop ships a series of parts that use control charts as the acceptance mechanism in place. Charts indicate the process is in control and has a current capability of >1.65. Which statistical technique, if any, would you use to verify or accept this?

The paragraph in question leaves much open to interpretation (I know, interpretation is not supposed to be an issue, but it is). If I could offer a single suggestion, the QS procedures should be as generic as possible and use objective evidence (incoming inspection records) as compliance.

Do not know if this helps. QS is not my cup of tea, as I have said before. But, statistical analysis is a sorta well known subject. Best of luck. Perhaps a QS AND statistical person can shed additional light.

Of course, if I am completely off base, someone please let me know.

Regards,
Don

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