banerjee

Does not matter which one you use.If you are tackling a centering problem, use Cp.If its a variation issue,use Cpk simply because it tells you what the minimum variation in your process is and how many standard deviations can be fit between the spec limi wich is closest to the mean.The default is howver Cpk most of the times.As long as you know…[Read more]

I agree with some views expressed above.
To your pointed question, you would not ignore.
Pbar for each sample is an indication of the defect proportion in that sample.Also evaluate what are the conditions in which these samples are getting picked up. Are u using Pbar to track by shift or by product variations, etcAs long as the purpose is clear,…[Read more]

The idea is to identify an abnormal lot from a population of lots manufactured.
Yield and targets are a function of the quality of the output you desire. Whats abnormal for you is not abnormal for the other.
In predictions, one uses a sample and then predicts based on a certain sample that the populaion mean would lie within sample mean +_ 1.96…[Read more]

Just wanted to know if any of you guys can mail a generic evaluation sheet.
while many models exist and there are lots of suggestions, i would like one that has been tried and tested in some organisations.
please send me data in any form