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9th May 2000, 07:06 PM
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Determining Sample Size and Frequency for Features on Control Plans
When developing control plans, is there a "standard" way to come up with a sample size for a peticular feature. I don't agree to base it on quantity of the order but should it be on the critical nature of the dimension ?
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16th May 2000, 07:42 PM
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I don't know of a 'standard'. It depends upon the type of process, how critical the dimension is, how stable the process is and what you are trying to do in general.
Are you thinking SPC here?
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31st May 2000, 07:15 PM
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don't forget to consider the output RPN of FMEA.
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11th June 2000, 09:09 AM
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Quote:
Originally posted by chen:
don't forget to consider the output RPN of FMEA.
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I am a rookie in the the field of quality control field. Could somebody help to the defination of DOE ,QFD , RPN ,ASO and AIAG?
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11th June 2000, 09:19 AM
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DOE = Design of Experiments
QFD = Quality Function Deployment
RPN = The number obtained in an FMEA when you multiply the 3 factors of that FMEA type. I think the acyronym is something like Resultant Priority Number
ASO = I have no idea
AIAG = Auto Industry Action Group
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16th May 2012, 08:58 PM
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Re: Determining Sample Size and Frequency for the Control Plan
RPN= Risk Priority Number
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16th May 2012, 09:29 PM
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Re: Determining Sample Size and Frequency for Features on Control Plans
Quote:
In Reply to Parent Post by George Trybulski
When developing control plans, is there a "standard" way to come up with a sample size for a particular feature. I don't agree to base it on quantity of the order but should it be on the critical nature of the dimension ?
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This is an old thread which "bubbled up". Would anyone care to comment on the starting post since it was never adequately answered?
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16th May 2012, 09:47 PM
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Re: Determining Sample Size and Frequency for Features on Control Plans
according with my experience, the size of sampling depends the type of product your production or how does the product are manufacturing?
generally speaking, sampling 3---5pcs for cosmetic, and approximate 5pcs for measurement studies, and about 1--2pcs as function or performance analysis
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