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Explorers Series

Unearth the possibilities in your data

Guest Lecture

Better, Faster Decision Making with Design of Experiments

Date: 19 November 2019
Time: 10:00 am - 12:50 pm CET 
Location: Hotel Stücki, Badenstrasse 1, 4057 Basel, Switzerland
Registration: Free

Are you looking to quickly develop new products and processes to help your company remain competitive? Perhaps you have more problems to solve than time available? Or maybe your existing data isn’t sufficiently robust to help solve a specific problem?

It can be difficult to ensure experiments are robust and comprehensive when project milestones are looming. In this environment, it’s not uncommon for engineers and other analysts to risk cutting corners, limiting their understanding of the factors important to product or process robustness, effectiveness and efficiency. But there is almost always a better, lower-cost  product or process to be found – with adequate time and analytical capabilities.

If this scenario sounds familiar, why not spend a little time finding out how design of experiments (DOE) can help? People with similar issues have found that a DOE approach can produce better outcomes, increase effectiveness, identify solutions to problems faster and help meet project milestones more predictably.

Register now to attend the seminar.

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ABOUT THE SPEAKERS
Peter Goos
Peter Goos
Peter Goos, PhD, is full professor at the Faculty of Bio-Science Engineering of the University of Leuven and at the Faculty of Applied Economics of the University of Antwerp, where he specializes in the statistical design and analysis of experiments.

 

Malcolm Moore
Malcolm Moore
Malcolm Moore, PhD, is JMP European Technical Manager. An expert in design of experiments, Moore worked at Light Pharma, BBN and Astra Zeneca and lectured in medical statistics at Newcastle University prior to joining JMP.

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