Robust Design & Taguchi Method

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Next Date

By arrangement

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Participants

3 - 12 

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Duration

2 Days

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Course Form

online, classroom in Basel or in-house

Trainer:
Trainer: Dr. Philippe Solot

He has over 25 years of experience in the application of statistical methods in the process industry. He has coached many training sessions on various topics, including Design of Experiments (DoE) for process and product optimization. His wide practical knowledge allows him to make even technical concepts easily understand­able by participants.

Dr. Solot holds an M.Sc. and a Ph.D. in Applied Mathematics, both from the EPFL (Swiss Federal Institute of Technology, Lausanne).

Course Description

Do you want to ensure that your processes are least sensitive to parameter variations, but their outcomes nevertheless close to given target values? Do you also want to achieve this at minimal cost and as quickly as possible? This course will introduce you to Taguchi experimental design methods to optimize processes and products so as to best combine robustness and quality. It is aimed at engineers and scientists who work in development and quality assurance and who already have basic statistical knowledge (as provided in “Visualization of Lab Data with Excel”).

What Are You Going to Learn?

This course provides a comprehensive refresher on Design of Experiments (DoE) and a deep dive into Taguchi innovative experimental design methods which have many successful applications, for instance in the chemical, pharmaceutical, food, car, and electronics industry. The modern ideas of Robust Engineering are also treated. In the last part of the course, you will have the possibility to present and discuss your own problem settings if you wish.

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 with Excel”). Previous knowledge of experimental design techniques is not required but can be advantageous.

Course Fees

Standard Fees
  • CHF 795.- per day + 8.1% VAT (incl. course documents and individual participant coaching during the practical exercises) for online courses
  • CHF 865.- per day + 8.1% VAT (incl. course documents, individual participant coaching during the practical exercises, break refreshments and lunch) for classroom courses.
Conditions for the EU

Which Topics Are Covered?

Basics

  • Typical problems from industry

  • Two perspectives: optimization of quantity vs. quality

  • Optimization of quality according to Taguchi strategy
    (Robust Design)

  • The basic ideas of Design of Experiments

Design of Experiments

  • Design of Experiments: strategy, effects and interactions, designs, model building, analysis

  • Sequential approach

  • Examples

Taguchi Method

  • Taguchi philosophy and the robust parameter design problem

  • Taguchi classical approach using product arrays

  • Signal-to-noise ratio

  • Taguchi experimental designs

  • A critical view of Taguchi method

Improvements of Taguchi Method

  • Modern approach: combined treatment of design and disturbance parameters

  • Analysis of interactions

  • Uncontrollable noise parameters

Practical Aspects

  • Discussion of the participants’ questions

  • Recommendations for practice

Registration Form – Robust Design & Taguchi Method
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Any Questions about STAVEX or Design of Experiments (DoE)?

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