Design of Experiments

October 7, 2014, March 24, 2015, August 11, 2015

This one-day course is designed to help scientists and engineers understand the concept of Design of Experiments (DOE) and how to apply it to any process, product development or improvement. Variability is part of every process; Design of Experiments helps to reduce that variability. A properly set DOE can make any process more robust and minimize variability from external sources. You will get a chance to learn how to properly plan and conduct DOE, and then analyze and interpret the generated data.

Benefits of this interactive training

  • Get the most out of your development budget by minimizing the number of experiments needed
  • Increase your productivity
  • Save time and resources in the lab
  • Better understand your process

Class size is limited to 35 - reserve your seat early

Key Learning Objectives

  • Learn how to conduct DOE and the rationale behind it
  • Develop the confidence to design and execute experiments to maximize the understanding of the process while minimizing the number of experiments
  • Understand what a design space is and how to use it to optimize parameters important to your process
  • Determine the most robust settings in your process to minimize the different sources of variability while maximizing the output
  • Understand the connection between DOE and Quality by Design (QbD)

Program Logistics

Who should attend

  • Process Development Scientists
  • Process Engineers
  • Analytical Method Development Scientists
  • QA/ QC Personnel
  • Validation Scientists
  • Manufacturing Technology Engineers and Scientists