D104 - 1 day
When the results of your experiments depend on proportions of ingredients rather than amounts, factorial designs may not make sense. Instead, discover how mixture designs and analyses can help you find the ideal mix of ingredients to meet your performance criteria. Learn about design regions, where constraints are imposed by working with proportions of ingredients. Understand how to implement screening and optimisation within mixture experiments to gain additional understanding about formulations and to identify robust optimal formulations. You will discover how to successfully combine mixture components with process factors and categorical variables (e.g. time, temperature, suppliers) while minimising the number of runs. In short, learn how to mix your ingredients and bake them as well!
- Handling formulation components as process factors
- Setting up and analysing simplex mixture designs
- Models and graphs to analyse and visualize your mixture data
- Constrained mixture components and regions and the designs that accommodate these
- Screening, optimising and formulation robustness
- Combining mixture components and process factors
Software Tools Used
We also use our own simulation tool, ProSim, in this workshop.
Who should attend?
- Formulators, scientists or engineers dealing with mixtures of components
Knowledge of factorial and optimisation methods will help, but is not necessary