Design of Experiments for Non-Statisticians is an event dedicated to the solution of many Pharma and Biotech problems include the collection, analysis, interpretation and presentation .
Topics
- Why DOE works
- Basics of data-based problem solving
- Factorial experiment designs for 2, 3, 4, 5 and more factors
- What’s wrong with one-factor-at-a-time strategy
- Roadmap for the analysis of factorial experiments
- Screening experiments using fractional-factorial and Plackett-Burman designs
- Tips, Traps and Tools of the problem solver
- Calculation and graphical display of factor effects
Who should Attend
- Manufacturing Departments
- R&D Departments
- Quality Control Departments
- Quality Assurance Departments
- Financial Analysts
- Regularly Affairs Departments
- Engineers
- Scientists
- Everyone who collects, analyzes and presents data to solve problems and make improvements
