In this video, we discuss what Design of Experiments (DoE) is. We go through the most important process steps in a DoE project and discuss how a DoE helps you to reduce the number of experiments. We then discuss how you can estimate the number of experiments needed and we go through the most common experimental designs: Full factorial design, Fractional factorial design, Plackett-Burman Design, Box-Behnken Design, Central Composite Design.
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https://datatab.net/tutorial/design-of-experiments
0:00 What is design of experiments?
3:12 Steps of DOE project
5:56 Types of Designs
6:26 Why design of experiments and why do you need statistics?
6:47 How are the number of experiments in a DoE estimated?
9:26 How can DoE reduce the number of runs?
10:09 What is a full factorial design?
12:04 What is a fractional factorial design?
15:27 What is the resolution of a fractional factorial design?
21:54 What is a Plackett-Burman design?
22:46 What is a Box-Behnken design?
24:00 What is a Central Composite Design?
24:34 Creating a DoE online