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05.01.2020
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Robust Design & Taguchi Method

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Do you want to develop your processes in such a way that they are robust to parameter variations and that they are centered around an optimal value? And do you want to achieve this with minimal cost and in shortest time? Techniques developed in Japan by G. Taguchi allow you to reach these ambitious and apparently contradicting goals.


What do you learn ?
Do you want to develop your processes in such a way that they are as little sensitive as possible to parameter variations and at the same time tend to reach a given target value? And of course at minimal cost and as quickly as possible? These ambitious and apparently contradictory objectives can be achieved thanks to a simple but innovative application of experimental design techniques. The underlying methodology has been first developed in Japan by G. Taguchi. It nowadays constitutes one of the most significative parts of the modern process and product improvement methods. Successful applications have been reported in many industrial branches, such as chemistry, food, car or electronics. These methods can also be used in the pharmaceutical industry, for instance for the optimization of analytical measurement tools (HPLC) or for the tuning of complex devices.

Further to a refresher of the necessary concepts of experimental design and analysis, Taguchi's method will be thoroughly explained and discussed. The modern ideas of Robust Engineering will be treated. In the last part of the course, the participants will have the possibility to present and discuss their own problem settings.


Who should attend ?
  • Scientists, engineers and quality managers in Development, Production or Quality Assurance
  • Elementary statistical knowledge is necessary (as provided in "Visualization of Lab Data" ). Previous knowledge of experimental design techniques is not required but can be advantageous.

Which topics are covered ?
 Basics
 Taguchi's philosophy of quality improvement
The Robust Design Problem according to Taguchi
A few concepts of experimental design and analysis
Examples
Simple techniques of analysis
 Taguchi's idea of product designs
Signal/Noise ratios
Taguchi's experimental designs
A critical view of Taguchi's method
 Improvements
 Analysis of the interactions
Joint treatment of design and disturbance parameters
Dynamical charakteristics
Non-controllable disturbance parameters
 Practical aspects
 Discussion of problem settings from the participants
Solution ideas
Practical recommendations

Any questions ?
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