Apply good experimental practices when conducting studies
Plan and conduct experiments in an effective and efficient manner
Interpret significant main and interaction effects
Determine statistical significance of main and interaction effects
Check models for validity
Develop predictive models to explain and optimize process/product behavior
Apply very efficient fractional factorial designs in screening experiments
Utilize models for one or more responses to find optimal solutions
Avoid common misapplications of DOE in practice
Apply 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
Design of Experiments for Process and Product optimization 2016 - 16-17 Jun 2016, Philadelphia, Pennsylvania, United States (58398)
Important
Please, check "Design of Experiments for Process and Product optimization" official website for possible changes, before making any traveling arrangements
