Risk Analysis and Design of Experiments (DOE) in Process Validation and Development 2016 is a seminar that covers topics such as:
- Good experimental practices when conducting studies
- Experiments in an effective and efficient manner
- Significant main and interaction effects
- Statistical significance of main and interaction effects
- Models for validity
- Predictive models to explain and optimize process/product behavior
- Very efficient fractional factorial designs in screening experiments
- Models for one or more responses to find optimal solutions
- Common misapplications of DOE in practice
- Response surface designs for optimization experiments
Risk Analysis and Design of Experiments (DOE) in Process Validation and Development 2016 brings together:
- Product and Process Engineers
- Scientists
- Quality Engineers
- Design Engineers
- Laboratory Personnel
- Personnel involved in product development and validation
- Process Improvement Personnel
- Manufacturing/Operations Personnel
