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.

• Enables key information regarding products and processes to be obtained from an organisation’s data
• Improves the effectiveness and efficiency of product design and development processes
• Facilitates optimization of product design features to achieve fitness-for-purpose and performance requirements
• Facilitates optimisation of manufacturing process parameters to maximize output and minimize non-conforming outputs
• Supports product and process validation during design, development, and production planning
• Facilitates ongoing process management, problem-solving, and continual improvement

Multidisciplinary, including product designers, product and manufacturing engineers, quality engineers, technicians, and engineering managers.

The delegates should understand:

• The principles and benefits of applying DOE methods
• Taguchi’s Robust Design methodology
• Classic experimental designs
• How to design and perform a designed experiment
• How to analyse, interpret and use the results of a designed experiment

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

See Training Courses for price list and order form