Skip to main content

When trying to solve a problem or improve a process, the optimal solution is not always found by varying just one factor at a time. By using a designed experiment approach, you can perform some carefully designed experiments under controlled conditions to identify the optimal solution. Designed experiments allow you to see how various factors interact with each other. This course will teach you how to set-up, run, and analyze two-level designed experiments.

Target Audience

Design engineers, Quality engineers and managers, Product and process engineers.


At least one attendee from each company should have a laptop with the trial (or full) version of Minitab loaded on it. Licensing available from InSource.


Classroom, onsite.

Learning Objectives

Upon completion of this course, you will be able to:

  • Understand full and fractional factorials
  • How to identify which factors to vary
  • How to establish the settings for each factor
  • How to create and interpret main effects and interaction plots
  • The three R’s (Replication, Repetition, and randomization) of DoE’s
  • Participants will apply the concepts taught to an actual hands-on activity to optimize a simulated process.



Course Content

DOE Process

Full Factorial Designs

DOE Planning

Replication, Repetition, Randomization

Main Effects and Interaction Plots

DOE Interpretation

Fractional Factorial Designs

Modeling Analysis for DOEs

Blocking Designs

Need Help?

Contact us for more information or to request a quote.