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What Is a Fractional Factorial DOE?
Fractional Factorial DOEs are a subset of full factorial design of experiments that reduce the number of experiments needed by selecting a fraction of the total possible combinations of factor levels. Learn when it’s appropriate to use fractional factorial DOEs, and its relative advantages and disadvantages compared to full factorial DOEs.
Course Videos
What Is DOE Design of Experiments?
05:13
2OFAT Test vs. DOE
06:58
3How to Conduct DOE Design of Experiments
05:13
4What Is a Full Factorial DOE?
05:41
5Replicates in Full Factorial DOE
04:19
6Full Factorial DOE Example
11:01
Current Video
What Is a Fractional Factorial DOE?
01:08
Next VideoConfounding, Aliasing, and Resolution
04:23
9Fractional Factorial DOE Example
07:31
10What Is an Optimization DOE?
02:23
11What Is CCD Central Composite Design?
07:20
12Central Composite Design CCD Example
11:39
13What Is the Taguchi Method?
05:01
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Next Video Confounding, Aliasing, and Resolution
Fractional DOEs enable us to efficiently test many factors across varying combinations in order to identify factors worthy of deeper investigation. However, a tradeoff for simplicity and speed is that we must be aware of the potential for confounding and aliasing, or the inability to distinguish the interactions between two or more factors from each other based on the experimental results. Learn how resolution levels play a role in addressing confounding, the five levels of resolution, and how to select the right resolution level in our fractional experimental design to balance the need for fewer runs with the ability to interpret the results.