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Design of Experiments

How to Conduct DOE Design of Experiments

Learn the 8 major steps for con­duct­ing a DOE, and how these apply (with a few dif­fer­ences) to full fac­to­r­i­al DOEs, frac­tion­al fac­to­r­i­al DOEs, and opti­miza­tion DOEs.

Course Videos

1

What Is DOE Design of Experiments?

05:13

 2

OFAT Test vs. DOE

06:58Members only

Current Video

How to Conduct DOE Design of Experiments

05:13Members only

4

Next VideoWhat Is a Full Factorial DOE?

05:41Members only

 5

Replicates in Full Factorial DOE

04:19Members only

 6

Full Factorial DOE Example

11:01Members only

 7

What Is a Fractional Factorial DOE?

01:08Members only

 8

Confounding, Aliasing, and Resolution

04:23Members only

 9

Fractional Factorial DOE Example

07:31Members only

 10

What Is an Optimization DOE?

02:23Members only

 11

What Is CCD Central Composite Design?

07:20Members only

 12

Central Composite Design CCD Example

11:39Members only

 13

What Is the Taguchi Method?

05:01Members only

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Next Video What Is a Full Factorial DOE? 

Full Fac­to­r­i­al DOEs help us test all pos­si­ble com­bi­na­tions of fac­tors in order to deter­mine which items are sta­tis­ti­cal­ly sig­nif­i­cant. Learn the steps for con­duct­ing a full fac­to­r­i­al DOE, how to set fac­tors and lev­els, and how to iden­ti­fy the num­ber of exper­i­ment runs needed.