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

DOE is one of the most widely recognizedexperimental tools available to you but is probably one of the least implemented! In fact, its use helps considerablyspeed-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 efficientlyamong various designs- Rogier will help you to efficiently use this powerful methodology without jumping into statistical complexity.


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


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

Get a participation certificate on joining the Live Online Course!

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

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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% discountby addingDOE Implementation in Practice
Use Code: DESIGN10

Have a query? Email usfor any help!