Product Improvement

Design of Experiment: Step-by-Step Approach for Easy Implementation

Language: English
Length: 90 min
Sep 25, 2025 03:00 PM
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Course Description

Accelerate your developments by reviewing how you can test simultaneously
4, 7, 11...variables
with a limited number of trials for ingredient selection, interaction study, formulation, application...

Leading expert Rogier van Duin will discuss when to go for full, fractional or Taguchi designs in easy-to-understand terms. 

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Rogier van Duin
Rogier van Duin
SpecialChem Expert
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Born in 1964, married with two daughters, he currently resides in Haaren, the Netherlands. He completed his M.Sc. (Dutch Drs.) at the University of Utrecht, NL, with a specialization in Physical Chemistry. He also holds a degree in Industrial Marketing. In 2008, he qualified as a New Product Development Professional (NPDP) from the Product Development & Management Association (PDMA).

From 1989 to 1991, he worked for Philips in Product Development, where he was introduced to many quality tools such as Taguchi and FMEA.

Since 1991, he began his international career in Resins and Coatings. Through positions at DSM-Resins (1991-1994, the Netherlands, Project Leader Miscibility of Polymers), ICI Packaging Coatings (1994-2001, Germany, Product Manager Advanced Technologies), and Valspar (2001-2004, Switzerland, Technical Director), he became Vice President of Research & Technology in 2004 for Stahl, the Netherlands, where he was responsible for global Research & Development.

In 2007, he started DUVARO Consultancy to advise and guide in business solutions such as the technical aspects of mergers and acquisitions, innovation management, new business/product development, and Taguchi experimental design.

Rogier teaches Innovation Management courses in Europe and Asia.

In 2008, he co-founded Diostyl Coatings, based in the Netherlands, with four toll-manufacturing sites and two laboratories for liquid and powder industrial coatings in Europe. He invented an Ultra High Solids Industrial Coating (90+ wt%), which was successfully launched in Europe and recognized as one of the fifty most inspiring innovations in the Netherlands for 2009-2010.

In summary, his career is based on a broad and specialized experience in paints & binders, chemistry, innovation, and new product/business development.

Participants of this course includes

Why should you view this course?

DOE is one of the most widely recognized experimental tools available to you but is probably one of the least implemented! In fact, its use helps considerably speed-up time to market.

Why run so many trials, when you could easily evaluate 4, 7, 11... variables together? Join this course and:

  1. Choose efficiently among various designs – Rogier will help you efficiently use this powerful methodology without jumping into statistical complexity.

  2. Get maximum information from your experiments (main effects, optimum conditions, performance levels...) with proper R&D organization.

  3. Predict & optimize performance using existing results from past experiments, beyond creating a specific new set of data.

Who should join this course?
  • Practicing chemists, managers, researchers, engineers, or R&D decision-makers with an interest in speeding up or improving efficiency in Research & Development.

  • Complete the course and unlock your personalized certificate – your badge of accomplishment awaits!

  • This course is suitable for beginner level proficiency
    Beginner
Questions you will be able to answer after this course:
  1. What software should I use if I’m new to DOE?

  2. How do I decide which factors to include in my experiment?

  3. What’s the easiest way to build a DOE when I have limited materials or testing capacity?

Course Outline
The following sections will be covered during this session:

Limits of traditional R&D practices (trial-and-error, one-factor-at-the-time...)

Design of experiments

  • Best methods
  • Setting up simple experimental designs
  • Analyzing results with simple calculations

Determining the main effects, optimum condition, and performance levels

Standard steps in experimental planning

Analysis of interactions and modification of the optimal conditions

The Taguchi approach

Retrieving information from earlier experiments

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30 min Q & As for this course
Interact directly with your tutor and clarify your doubts
  1. 30 mins per session for Questions and Answers
  2. Clarify your doubts.
  3. If your questions are not answered, dont worry you will recieve tutor’s reply via email after sessions.
€275
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