Introduction to Design of Experiments

Introduction to Design of Experiments


The most effective Design of Experiment (DOE) that a person can run is the one they don’t have to.  Many DOEs result in a lack of findings or improvements, and even some of those that are effective are inefficient because they are focusing on too many potential root causes (factors). In this training course we focus on attempting to ascertain whether a DOE is truly necessary, and how to make one as efficient and effective as possible.  

CLASS OBJECTIVES: Topics covered include:

  • Effective Measurement Systems: Making sure the data used for decision-making is valid
  • Good Data Collection: Ensuring that the data is complete and reflective of the process being studied
  • Key Process Input Variable “Farming”: Using Hypothesis Testing to eliminate the need for a DOE or to reduce complexity and produce better results
  • Basic DOE: Once a DOE is determined as necessary, how to plan, conduct and analyze a DOE for root cause and improvement

Upcoming Classes


March 05, 2019 - March 06, 2019
8:00 AM- 4:30 PM
2800 Springport Rd
Jackson, MI

The course focuses on the fundamentals of experimental design for variables (continuous) type data. Included are statistical tests for analyzing one, two and three or more treatments as well as multi-factor design. An introduction to MiniTab is provided
South East