Boosting Performance With Custom Designed Experiments

Who doesn't hope to get the most insights from the fewest experimental trials? Efficient experimentation can save both time and money in the long term when it helps optimize product or process performance. And that's where a dynamic model can dramatically improve outcomes.

In this video, you will learn how to quickly identify performance trade-offs by building an interactive process model in JMP. A strategically designed model helps you to weigh performance goals and find the best trade-off in performance among multiple responses.

Drawing on the example of a multi-layer packaging film development process, the presenter shows how he balances multiple factor ranges and types to inform and streamline experimentation. Among other key takeaways, you'll learn how JMP enables you to customize experimental design in order to test only those factors that have the biggest impact on your processes.

Register now for this free webcast

*
*
*
*
*
  Please subscribe me to JMP Newswire, the monthly newsletter for JMP users.
  Yes, you may send me emails occasionally about JMP products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.

JMP is a division of SAS Institute Inc. Your information will be handled in accordance with the SAS Privacy Statement.

 
 

Back to Top