The Design of Experiments for Process/Product Optimization 2016 is a workshop that covers topics such as:
- 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
The Design of Experiments for Process/Product Optimization 2016 brings together attendees from:
- Product and Process Engineers
- Scientists
- Quality Engineers
- Design Engineers
- Laboratory Personnel
- Personnel involved in product development and validation
- Process Improvement Personnel
- Manufacturing/Operations Personnel
- Participants are requested to bring a laptop with Minitab Version 17 software installed
- Course Information