Day 1 – Introduction to DOE

• Overview of DOE techniques
• Optimisation challenge
• Applications of DOE techniques

Day 2 – Optimising the Process

• Regression analysis
• Understanding correlation
• Introduction to simple linear regression
• Introduction to multiple regression

Day 3 – Screening & Taguchi Methods

• Introduction to fractional factorial
• Screening designs
• The use of EVOP to optimise a non-linear response
• Taguchi loss function
• Taguchi designs that deliver robust solutions in the presence of noise

Day 4 – Advanced DOE Techniques

• Mixed and multi-level designs
• Response surface designs
• Botched runs
• Randomisation and grey coding
• How to customise a DOE with historical data