DATA INSIGHT
ON-DEMAND WEBINAR
Getting Started with Design of Experiments (DOE)
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 discover a range of beneficial outcomes that can be applied across various industries:
- Enhance efficiencies. Achieve quicker resolutions and gain a comprehensive understanding at the system level.
- Establish a solid basis for future investigations. Develop a robust framework that supports experimental advancements.
- Achieve faster and greater returns on investment. Reap financial benefits while reducing time and costs.
This 30-minute on-demand webinar introduces 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.
About the presenter
Jed Campbell
Jed Campbell is a Senior Systems Engineer at JMP Statistical Discovery. An educator by training, Campbell 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. Campbell 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. Campbell also understands quality systems and how they can be incorporated into existing businesses without undue bureaucracy.