For industrial R&D and manufacturing, design of experiments (DOE) is an impressive statistical tool for considering multiple factors at a time. DOE empowers scientists and engineers to uncover optimal solutions by thoroughly investigating the capabilities of their processes. It serves as a dynamic learning tool, enabling you to capture and understand complex behaviors.
Attendees will discover a range of beneficial outcomes that can be applied across various industries:
This 30-minute on-demand webinar will introduce you to the fundamentals of design of experiments. Discover how this innovative statistical method can help scientists and engineers in the process industries streamline and improve their operations, thereby leading to significant savings of both time and cost.
Jed Campbell is a Systems Engineer at JMP Statistical Discovery, which creates interactive and highly visual statistical discovery software for scientists and engineers. An educator by training, Jed helps people see how they can get better and faster insights to their data by using JMP.
A Master Black Belt in Six Sigma, he has a vast experience as a problem solver, ranging from process improvement in manufacturing to designing and coaching experiments in rocket science. Jed led a successful application process for which he won the enterprise-level Shingo Prize in 2011. He has a strong business acumen, sharpened by a nationally ranked MBA, focusing on entrepreneurship. Jed also understands quality systems and how they can be incorporated into existing businesses without undue bureaucracy.