Industrial manufacturers apply a variety of statistical-based techniques to more effectively address the quality of product design and production outcomes. This course examines how manufacturers make decisions about what product and process data to collect and how they assess the adequacy of the measurement system. Students will set up and interpret histograms and process control charts to identify chance or assignable variation in a collected data set. Students will run a design of experiments study to determine the impact key design and process parameters have on system performance.
Semesters: Fall, Spring