Advanced Design of Experiments (DoE) Training
Building on the ‘Introduction to Design of Experiments’ training, this course covers further techniques to enhance the factorial methods already learnt and introduces Mixture Design methods, which can be used to determine the optimum proportions of components in a mixture or formulation. The course uses a number of hands on exercises and experiments using Minitab software.
Who should attend?
All R&D personnel, design and development engineers and scientist, process engineers. We recommend attending the Introduction to (DoE) Design of Experiments as a prerequisite to this course.
Objectives & Aims
To understand and address the complex problems that pose major challenges to quality improvement and bottom-line savings. DoE can help you determine which process or formulation changes are most likely to yield the greatest gains.
Enhancement of factorial designs using:
- Centre Points
- Design Replication
Optimising proportions of mixtures and formulations:
- Simplex Lattice designs
- Extreme Vertices designs
13th March 2017 - Bookings closed
5th June 2017 - Register your interest here
If you have a minimum of 6 delegates and the current planned schedule does not meet your business needs we may be able to set up another course date for you.
For further information please complete a training enquiry form or contact firstname.lastname@example.org
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