Introduction to Design of Experiments

2 days: Introductory training to Design of Experiments


Designed experiments, also called DOE, is a powerful set of methods for optimizing product and process performance. With modern software such as Minitab anyone with the proper introduction can be a good experimenter. During this training we introduce the basic concepts and tools you need to get a kick start in this interesting area.

Who should attend

If you work in product development, technology development, process & operations development or you are a Green Belt or Black Belt that want to refresh your skills in the area of process and product optimization you will greatly benefit from this training.


By designed experiments, be able to identify the critical few factors, root causes that have big impact on an output (problem)


We strongly recommend you have completed the course Introduction to DMAIC and Lean Six Sigma. You can also be a Green Belt or Black Belt that want to refresh your skills or gain new skills in the area of Design of Experiments


You need to bring a PC and have Minitab installed.
Note: You can download a free 30-day trial version of Minitab 16.

Training layout

Time: 08:30 – 17:00 Lunch 12:00-13:00.
Minimum 4 and maximum 15 participants.
There will be a blend of theory, practical exercises and case studies during the day.

Key topics during training

Full factorial designs, fractional designs, optimization, main effects, interaction effects, center points, blocking, validation, replication, repetition, residual analysis, orthogonality, sequential experimentation, confounding and aliasing


“The real measure of success is the number of experiments that can be crowded into 24 hours.” — Thomas Alva Edison


Day 1, 08:30-17:00

• Introduction
• One-Factor experiment
• Full Factorial Designs
        o Introduction
        o Analysis
        o Exercise
• Fractional Designs
        o Introduction
        o Analysis
        o Exercise

Day 2, 08:30-12:00

• Debrief day 1
• Plackett Burman Designs
• Adding Center-Points to Factorial Designs
• Blocking Factorial Designs
• Sample Size Calculations for DOE
• Summary Exercise
• End: Discussion and distribution of training diplomas


More information

For more information, please contact Håkan Wallin,