Once you’ve learned how easy it is to design an experiment in JMP, you never look at the world around you the same. Everything becomes an opportunity for an experiment! This presentation uses a practical example to demonstrate the process of design of experiments (DOE), including designing the experiment, modeling the results, and optimizing the inputs to provide the most desirable output.

Attendees at last year’s Discovery conference were treated to an evening of unique fun: hitting glow-in-the-dark golf balls on the driving range at Indian Wells Golf Resort. The driving range has Toptracer technology that monitors each shot. Total distance, carry, ball speed, launch angle, and curve are some of the variables reported with each shot. A driving range that provides so much data provided a perfect opportunity to design an experiment using JMP!

After an evening with fellow JMP users and friends, an experiment was designed using the Custom Designer in JMP. The design took only minutes to create. Input variables based on the golf stance setup were used in the design. These included variables such as grip, club head alignment, stance width, and ball location. The designed experiment was executed on the driving range, a model was created, and optimum settings to create the longest and straightest shot were discovered. The modeling and optimization were completed in minutes, while still on the driving range! This allowed for confirmation runs to immediately be performed. The benefits were later transferred the golf course as well.