Design of Experiments (DOE) comprises a group of tools and techniques for product and process improvement.
This course provides an introduction to Taguchi´s Robust Design methodology and classical experimental design in a manufacturing context. These methods may be utilised at various stages of product realisation.
During the design and development of products and processes, DOE enables the best concept to be identified. It is also used to improve and optimise existing products and processes.
No prior knowledge of DOE is necessary and only basic mathematical skills are required.
Note – To obtain the maximum benefit from this training, it is recommended that delegates bring a laptop to use during the course with the latest version of Minitab software installed. If necessary, delegates can download a free 30-day trial version from the Minitab website http://www.minitab.com/en-us/products/
Please note that we do not supply laptops or software.
Multidisciplinary, including product designers, product and manufacturing engineers, quality engineers, technicians, and engineering managers.
The delegates should understand:
The course content can be customised to suit a client’s requirements; the topics shown below illustrate a typical course content:
Taguchi’s robust design methodology
Classical approach to experimentation
Full factorial experiments
Fractional factorial experiments
Designing and conducting an experiment
Analysis of results and optimisation
Prediction of improvements
Confirmation of results
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