Online Course

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

On-Demand Course

Recorded on Sep 14, 2023

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
(Check out the exclusive preview now!)

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EXCELLENT ! It provided the basics which is important for fully understanding how to use DOE in the future.

David F. - Alberta of Agriculture & Forestry

VERY GOOD ! Would like to implement this into our lab. Now have a better understanding to be more efficient.

Tricia L. - Lyondell Chemical Co.

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

Marty S. - Newell Rubbermaid

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

Kevin L. - Nypro

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

James M. - Catalent Pharma Solutions

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:

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

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

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

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.

Exclusive Preview

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

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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Recorded Course: 275 €

This includes:
- Recording of the live session (.wmv 90 min)
- Presentation slides
- Transcript of Q&A session
- Expert's contact details

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Members Reviews

EXCELLENT ! It provided the basics which is important for fully understanding how to use DOE in the future.

David F. , from Alberta of Agriculture & Forestry

VERY GOOD ! Would like to implement this into our lab. Now have a better understanding to be more efficient.

Tricia L. , from Lyondell Chemical Co.

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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Design of Experiment: Easy Implementation in Practice

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