Design of Experiments for Process/Product Optimization 2016

  • 10-11 Nov 2016
  • Los Angeles, CA, United States

Description

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

Past Events

Important

Please, check "Design of Experiments for Process/Product Optimization" official website for possible changes, before making any traveling arrangements

Event Categories

Business: Innovations, Operations, Quality assurance
Health & Medicine: Medical laboratories, Pharma
Technology: Biotechnology

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