Getting Started with Design of Experiments
1h 0m
Understanding how multiple factors influence measurable responses is at the heart of experimentation – and yet, real-world experiments involving analytical measurements, such as chromatographic separations and spectroscopic detection, are often complex and resource-intensive. Design of experiments (DOE) provides a practical framework for studying multifactor systems and gaining meaningful insight with fewer experiments. By adopting DOE, scientists and engineers are equipped to better understand process behavior, improve decision making, and increase confidence in experimental conclusions.
Join us for a 60-minute live webinar that introduces the fundamentals of DOE. Discover how this innovative statistical method can increase efficiency, establish a basis for future investigations, and achieve greater returns on investment.
Topics include:
- Benefits of using DOE versus the limitations of one-factor-at-a-time (OFAT) experimentation
- Familiarity with common DOE terminology, including main and interaction effects
- Introduction to a standard DOE workflow, illustrated with examples
