Design of Experiments for Process and Product optimization 2016

Key Topics

• 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