Thanks Duke, Bev D. I am in medical device industry and i have intention to apply c=0 sampling on packaging material incoming inspection. The sampling plan that we are using now has not statistically justified, means we simply pick a number for example 5/100.
I have tried to work backword from C=0 sampling plan. Base on specific range of lot size, i have calculated the probability of acceptance base on sample size through out a range of AQL i.e. 0.10, 0.15 ... 10 to understand the relationship between AQL and producer risk base on poisson distribution. Please refer attachment.
I do not know whether this is the right method to choose AQL. What i know is we need to use AQL figure in sampling plan to calculate the producer risk, and once we know the producer risk we can choose which AQL we prefer. Is this the right way? or my understanding is wrong?
After the study i have an idea to use historical rejection data on these packaging material to calculate ppm. I read one of the thread mentions that 0.065% AQL = 650ppm, means we can base on ppm to determine AQL also. Is this true? Is this a better way because it is base on actual performance?
Appreciate your guidance.