I have a data set with columns of mean, median, sigma, LSL (lower spec limit), USL (upper spec limit), Cp, Cpk and Parameter Yield [%] for 10 measured parameters for parts (~5000 identically built parts, part IDs are rows). Some parameter Cpks are below 1.33 (may or may not have low Cp). It appears from initial data analysis that the limits are not correctly set.
Using the prediction profiler, I would like to manually nudge the LSL and/or USL to raise the the Cpk to > 1.33 which I am expecting will also improve the yield.
I am very little experience with the prediction profiler so need some guidance on how to use it for my case, if it could be used.
