Hi all,
looking for some info on how to approach a situation at work.
we have a system that produces a widget.
we want to measure a certain characteristic of the widget and show that the process is capable of producing widgets within spec before we launch the product (making the widgets for sale)
currently, we are using Cpk, but I'm not so sure it is correct, and if it is correct, we aren't calculating it correctly. apparently for Cpk you need control charts and subgroups and such, which we don't have because we aren't making these widgets yet.
Is Ppk the better/correct option, or is there maybe some other test?
I think we made let's say about 5,000 widgets, and about 60 samples were taken, and that's the data we have to work with.
Looking forward to hearing what you all think.
Also, if this is in the wrong spot, please move?
Thanks
looking for some info on how to approach a situation at work.
we have a system that produces a widget.
we want to measure a certain characteristic of the widget and show that the process is capable of producing widgets within spec before we launch the product (making the widgets for sale)
currently, we are using Cpk, but I'm not so sure it is correct, and if it is correct, we aren't calculating it correctly. apparently for Cpk you need control charts and subgroups and such, which we don't have because we aren't making these widgets yet.
Is Ppk the better/correct option, or is there maybe some other test?
I think we made let's say about 5,000 widgets, and about 60 samples were taken, and that's the data we have to work with.
Looking forward to hearing what you all think.
Also, if this is in the wrong spot, please move?
Thanks