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![]() Statistical Techniques and 6 Sigma
![]() Sampling Question - Long Story
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| Author | Topic: Sampling Question - Long Story |
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thebigbear Lurker (<10 Posts) Posts: 4 |
Hi everyone, I need some help clarifying a few things and unfortunately this is a long story but it's necessary to help with answering. I'm currently looking into developing a variables sampling plan for a safety critical item were there is no room for accepting non-conforming items/lots of product. Failure to protect the consumer from poor quality items/lots could mean a death situation. The product in question has a lower specification limit, is destructively tested and the aim is to obviously exceed the LSL to a certain degree to provide a safety margin whilst giving a high process capability. I'm contemplating using a single sampling plan for the process average where the process standard deviation is unknown. Reason: Destructive testing is required and therefore an expensive exercise, also samples only provide estimates of the population mean and standard deviation. Another thing, keeping costs to a minimum is of importance whilst still providing protection to the consumer. Questions: Thankyou for taking your valuable time to read and answer this INCREDIBLY long question. Nick IP: Logged |
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dWizard Forum Contributor Posts: 20 |
This site http://www.variation.com/library.html has some good stuff on sampling. This site http://www.variation.com/techlib/standard.html has some standards for download that may be of use. Regards, ------------------ IP: Logged |
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Rick Goodson Forum Wizard Posts: 102 |
Nick, Interesting situation. Not having worked in a safety related industry I do not have a good answer for you. Never the less, I would think you should have more than just a sampling plan in place. Do you have any reliability testing or ongoing life testing in place? I would think you should be monitoring the product reliability to determine how much lies in that unacceptable tail of the population. With regard to sampling, remember a sampling plan works on the premise of average outgoing quality levels and alpha and beta risk. AQL levels simply put you in the position of saying I am willing to accept an X probability of accepting product that has Y level of defectives. Take a look at www.samplinplans.com there is a lot of good information there. IP: Logged |
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thebigbear Lurker (<10 Posts) Posts: 4 |
Hi Rick, thankyou for the prompt reply. Yes we do do additional reliability testing on the products and all is fine in that respect. I'm still not sure if I'm on the right track but I've been doing a few calc's and modelling at home and I have a reasonbly good understanding of the construction of OC Curves for sampling plans and the effects of the different parameters. One of a few reasons that made me ask the original set of questions is, "If we are testing a product that is yielding a process capability in excess of 2 and the estimated proportion non-conforming is in the order of 0.000196%, then why sample at the current level?" If all we are getting as a fraction non-conforming is 0.00196%, the probability of acceptance from the OC Curve is going to be exceptionally high. Is this a good case for reducing sample size/frequency? I'm in the opinion that it is and feel that a Chain Sampling plan (Chsp-1)would suit our situation. What is your thought on this, or anyone elses for that matter? Thanks, quote: IP: Logged |
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Rick Goodson Forum Wizard Posts: 102 |
Nick, While the chain sampling plan is certainly an option, the OC curve for a c = 0 plan is poor. The fraction defective could double or triple and your probability of acceptance will still be extremely high. If you could use a variables sampling plan you would have the advantage of better protection for the same sample size. Rick IP: Logged |
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