Design of Experiments

This three-hour asynchronous course provides a foundational understanding of Design of Experiments (DOE), focusing on its application in engineering, manufacturing, and product development. Participants will learn how to design, conduct, and analyze factorial experiments to uncover influential factors and interactions. With a focus on efficiency and accuracy, the course also introduces fractional factorial designs to reduce experimental effort while maintaining valuable insights.

Learning Outcomes:

  • Design and analyze two-level factorial experiments to evaluate process variables and interactions.
  • Apply fractional factorial designs to efficiently explore complex systems with many factors.
  • Interpret experimental results and validate model assumptions to support data-driven decision-making.

Who Should Attend:

  • Engineers and technical professionals involved in product development, process improvement, or quality assurance.
  • Data analysts and scientists seeking to apply structured experimentation in industrial or research settings.
  • Manufacturing and operations leaders aiming to optimize performance through evidence-based methods.
Date
Format
ID
Fee
 
 July 01-June 30, 2024
Online Anytime
ID: D438
Fee: $295

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