Improving gauge throughput for production demand while maintaining low measurement variation can be challenging. Often, throughput and measurement variation are competing variables and understanding the relationship between them can be difficult without utilizing a design of experiment (DOE). 

In this case study, we show how JMP’s Custom DOE platform can be coupled with a measurement systems analysis (gauge repeatability and reproducibility) to increase throughput while maintaining the accuracy and precision of the gauge. Utilizing JMP's DOE platform, the development time was reduced by an estimated 50% as opposed to a one-variable-at-a-time approach. We demonstrate the physical constraints of the gauge and how these constraints are added into the Custom DOE. We then model the DOE results including optimizing the design space and experimentally validating the 60% increase to the gauge throughput.