Product Improvement

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

Language: English
Length: 90 min
Recorded on: 25 Sep 25

Package Includes

6 month access to Course Recording, Presentation Slides, Q&A Transcript

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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Rogier van Duin is a coatings industry veteran with more than 30 years of international experience in paints, resins, and innovation management. He holds an M.Sc. in Physical Chemistry from the University of Utrecht, and a degree in Industrial Marketing, and is a certified New Product Development Professional (NPDP).

Rogier’s career spans leadership roles at DSM Resins, ICI Packaging Coatings, Valspar, and as Vice President of Research & Technology at Stahl, where he led global R&D.

In 2007, he founded DUVARO Consultancy, advising on innovation, product development, and M&A, and later co-founded Diostyl Coatings, where he pioneered an Ultra High Solids Industrial Coating (90+ wt%), recognized among the Netherlands’ top 50 innovations.

He also teaches Innovation Management Courses across Europe and Asia, blending deep technical expertise with strategic insight to help organizations accelerate sustainable innovation.

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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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