Formulations are complex products with multiple components and phases. Also, we usually need to balance several performance properties to deliver the optimum product. No wonder that the traditional 鈥渙ne variable at a time鈥� approach to product optimisation often fails.
First run in 2018, DESIGN OF EXPERIMENTS FOR FORMULATORS is a two-day course which will improve your practical understanding of statistical experimental design (DoE) and how it can be applied to improve and develop your formulations.:
DESIGN OF EXPERIMENTS FOR FORMULATORS is very suitable for:
鈥� Those involved in all aspects of formulation, from researchers, through to product developers, scale-up engineers and process engineers in manufacturing.
鈥� Those active in all formulating industries areas including inks, coatings, agrochemicals, pharmaceuticals, food, drink, FMCG, home care and health care.
DoE software will be used in the course, but the principles can be applied to all traditional software packages as well as Excel. No serious prior statistical knowledge will be needed.
Attendees will:
First run in 2018, DESIGN OF EXPERIMENTS FOR FORMULATORS is a two-day course which will improve your practical understanding of statistical experimental design (DoE) and how it can be applied to improve and develop your formulations.:
DESIGN OF EXPERIMENTS FOR FORMULATORS is very suitable for:
鈥� Those involved in all aspects of formulation, from researchers, through to product developers, scale-up engineers and process engineers in manufacturing.
鈥� Those active in all formulating industries areas including inks, coatings, agrochemicals, pharmaceuticals, food, drink, FMCG, home care and health care.
DoE software will be used in the course, but the principles can be applied to all traditional software packages as well as Excel. No serious prior statistical knowledge will be needed.
Attendees will:
- Become familiar with the principles of Experimental Design (DoE)
- Learn the differences between screening, optimising and robust designs
- Learn how to design full and fractional designs for processes and mixtures
- Understand how to analyse results to identify main factors and interactions
- Appreciate the value of Principle Component Analysis for formulations
- Become aware of the pitfalls to avoid in DoE
