ON-DEMAND WEBINAR
Using Design of Experiments (DOE) to Optimize and Innovate
Key learnings
- Understand the importance of design of experiments (DOE) for rapid process optimization.
- Discover the power of JMP's Prediction Profiler for intuitively understanding your model and for communicating results to decision makers.
- Learn to address common hesitations and doubts about adopting DOE.
- Explore the broader applications of DOE beyond process variables.
- Use DOE methods to reduce the cost of high-performance computer simulations or to make combinatorial software testing more robust and efficient.
About the presenters
Tom Donnelly, Principal Systems Engineer
Prior to joining JMP, Donnelly worked as an analyst for the Modeling, Simulation & Analysis Branch of the U.S. Army’s Edgewood Chemical Biological Center. For 20 years, he served as a partner with the first DOE software company to enter the market, teaching more than 300 industrial short courses to engineers and scientists.
Jed Campbell, Senior Systems Engineer
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. He also understands quality systems and how they can be incorporated into existing businesses without undue bureaucracy.
PRESENTED IN PARTNERSHIP WITH WILEY
This virtual webinar is moderated by Dr. Christene Smith, Editor at Wiley. The on-demand event is now available courtesy of a joint partnership with Wiley. Visit Wiley at www.wiley.com.