Not to mention that if you sample from every cavity (as you probably should) your Ppk will be unsalted by the systemic difference between cavities. Then your Cpk can be really messed up depending on how much systemic variation exists between cavities and how you subgroup. And a single sample from only one setup & material batch is another statistical blunder.
Cpk and Ppk are just abominations of mathematical formulas masquerading as ‘statistics’. Too many people just blindly dump some data into a formula they don’t understand via some software program and then think it has some meaning…it doesn’t. Quality engineering is way more complicated than the internet PhDs would like you to think.
My advice would be to discuss the critical characteristics with your Customer and try to get them to forget about the non-critical ones. Present run chart data that distinguishes between cavities and if possible over 2-3 different material lots. (Google “multi-Vari” it will help you). This can show that you are not making any out of spec parts and that the use of the “Normal” distribution to predict OoS parts when none are observed violates statistical requirements for this to be useful…
Cpk and Ppk are just abominations of mathematical formulas masquerading as ‘statistics’. Too many people just blindly dump some data into a formula they don’t understand via some software program and then think it has some meaning…it doesn’t. Quality engineering is way more complicated than the internet PhDs would like you to think.
My advice would be to discuss the critical characteristics with your Customer and try to get them to forget about the non-critical ones. Present run chart data that distinguishes between cavities and if possible over 2-3 different material lots. (Google “multi-Vari” it will help you). This can show that you are not making any out of spec parts and that the use of the “Normal” distribution to predict OoS parts when none are observed violates statistical requirements for this to be useful…