What if this imperfect gauge is used in production? How often will it make Type 1 vs Type 2 errors? What do those errors cost your company, in terms of money and in terms of diminished reputation (if bad parts are shipped)? Would it be wise to invest time and/or money in improving your gauge to mitigate these errors?
These questions (and more) are answered with a new JMP add-in. To demonstrate the add-in, we present a case study that shows how to determine the percentage of good parts that are potentially being rejected by your gauge, and the number of bad parts that are being passed on to your customers. We also discuss strategies to mitigate these errors.
See the JMP Discovery Summit presentation to learn more about why and how to use the Add-In.
