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Is Design of Experiments worth it?

Is Design of Experiments worth it?

What can we learn from Design of Experiments (DOE)?  

Webinar Presentation (PDF) l Webinar Recording (WebEx)

 

Q&A Answers

Note: The presentation and recording are only available to NAFEMS members.

 

Overview

Design of Experiments (DOE) is one of the methods used to investigate profitably data collected from physical or numerical experiments.

Whatever the context of application, industrial R&D, agriculture or system setup, this method brings some benefits which concern all communities in touch with:

  • Understanding reality,
  • predicting some behaviours,
  • focusing on relevant data,
  • improving a system,
  • capitalizing and sharing knowledge,
  • reducing the cost of investigations and might also reconcile with statistics.

This event proposed a stroll through these generic goals, in order to raise awareness of the potential benefits of Design of Experiments .

Design of Experiments for Engineering Online Course

An online 16 hours course on Design of Experiments method is proposed in October 2021, specifically dedicated to industrial design Dpt and using reusable open source "R" scripts. This course is in French language but there are plans to run in English next year.

 

 

Note: The presentation and recording are only available to NAFEMS members.
The Analysis agenda

 

This event is brought to you as part of the NAFEMS Analysis Agenda

This webinar was available for free to the engineering analysis community, as part of NAFEMS' efforts to bring the community together online.

 

About our speaker ...

Gilles Besombes
Ex-Valeo Thermal System - R&D

After several student and professional adventures in France and Canada in engineering, 33 years were spent at Valeo, as technical and scientific IT coordinator for the Group in charge of Calculation, Modules and components in the Interior Thermal Branch. The last years have been dedicated to national and European collaborative projects as well as to training oriented towards digital experiments in an industrial environment.

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