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
Who should Attend
Product and Process Engineers
Scientists
Quality Engineers
Design Engineers
Laboratory Personnel
Personnel involved in product development and validation
Process Improvement Personnel
Manufacturing/Operations Personnel
Past Events
Risk Analysis and Design of Experiments (DOE) in Process Validation and Development 2016 - 12-13 May 2016, Hilton Garden Inn Philadelphia Center City, Pennsylvania, United States (58499)
Important
Please, check "Risk Analysis and Design of Experiments (DOE) in Process Validation and Development" official website for possible changes, before making any traveling arrangements
