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The Universal Selection Source:
Cosmetics Ingredients
Online Course

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

This is a Past Course

Recorded on Nov 16, 2018

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. These principles and models will be applied step-by-step with practical examples.

Avail 10% discount by adding DOE Implementation in Practice
Use Code: Design10

Read the full Course Outline

Rogier van Duin Presented By:
Rogier van Duin

Length: 90 min

Course Type: Methodology
Level: Beginner

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Package includes:

.wmv Courses Recording, Presentation Slides & Transcript of Q&A session

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 to efficiently use this powerful methodology without jumping into statistical complexity.

  2. Get maximum information from your experiments (main effects, optimum condition, 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.

Boast about your Skills- Get a participation certificate on joining the Live Online Course !
Design of Experiment:Step-by-Step Approach for Easy Implementation (Part-1)

Who should view this course?

Practicing chemists, managers, researchers and engineers or R&D decision makers with an interest in speeding up or improving efficiency in Research & Development.

Course Outline

The following sections will be covered during this session:
  1. Limits of traditional R&D practices (trial-and-error, one-factor-at-the-time...)

  2. Design of experiments
    • Best Methods
    • Setting-up simple experimental designs
    • Analyzing results with simple calculations

  3. Determining the main effects, optimum condition and performance levels

  4. Standard steps in experimental planning

  5. Analysis of interactions and modification of the optimal conditions

  6. The Taguchi approach

  7. Retrieving information from earlier experiments

  8. 30 Mins Q&A session- ask your questions directly to the expert !

Avail 10% discount by adding DOE Implementation in Practice
Use Code: Design10

Have a query ? Email us for any help !

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Members Reviews

Excellent course! It presented a mathematical explanation rather than a black box approach.

Marty S. , from Newell Rubbermaid

Very Good! It helps me to understand DOE more and with ease.

Kevin L. , from Nypro

Excellent! I liked the examples used, such as popcorn and cake. Easy for all levels to follow.

James M. , from Catalent Pharma Solutions

It provided us with a new approach to formulative work that can help us in improving the efficiency of experimental designs.

Eliana L. , from Solvay Solexis

Presenter progressed from simple experimental design to more complex methods clearly. Received a better understanding for using fractional factorial designs to determine interactions.

David L. , from AGC Chemicals Americas, Inc.

The course gave me some new ideas about how to organize my future experiments.

Virginie D. , from Laerdal Medical

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