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What Is DOE Design of Experiments?
DOE, or Design of Experiments, is a powerful form of applied statistics for analyzing and optimizing our processes. Learn how DOE fits into the Analyze and Improve phases of the Six Sigma DMAIC approach, the main types of DOEs, and the steps for conducting DOEs.
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What Is DOE Design of Experiments?
05:13
Next VideoOFAT 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
7What Is a Fractional Factorial DOE?
01:08
8Confounding, 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 OFAT Test vs. DOE
People often confuse OFAT or one-factor-at-a-time tests for DOE or design of experiments. Learn the differences between OFAT and DOE, their relative advantages and disadvantages, and why DOE is the preferred approach for scientific research, for uncovering causal relationships, for understanding complex phenomena, and for making informed decisions based on empirical evidence.