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Design of Experiments

What Is an Optimization DOE?

An Opti­miza­tion DOE is a struc­tured, sta­tis­ti­cal approach deter­min­ing the set­tings of vari­ables that result in the opti­mal per­for­mance of a sys­tem, process, or prod­uct. Learn how opti­miza­tion DOEs sys­tem­at­i­cal­ly vary fac­tors, use math­e­mat­i­cal mod­el­ing to explore the shape of the response sur­face, and deter­mine the opti­mal regions and fac­tor settings.

Course Videos

1

What Is DOE Design of Experiments?

05:13

 2

OFAT Test vs. DOE

06:58Members only

 3

How to Conduct DOE Design of Experiments

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 4

What Is a Full Factorial DOE?

05:41Members only

 5

Replicates in Full Factorial DOE

04:19Members only

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Full Factorial DOE Example

11:01Members only

 7

What Is a Fractional Factorial DOE?

01:08Members only

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Confounding, Aliasing, and Resolution

04:23Members only

 9

Fractional Factorial DOE Example

07:31Members only

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What Is an Optimization DOE?

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11

Next VideoWhat Is CCD Central Composite Design?

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 12

Central Composite Design CCD Example

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 13

What Is the Taguchi Method?

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Next Video What Is CCD Central Composite Design? 

Cen­tral Com­pos­ite Design, or CCD, is a type of opti­miza­tion DOE. The CCD is a type of RSM, or Response Sur­face Method­ol­o­gy, used for both the explo­ration and opti­miza­tion of response sur­faces. Learn how CCD helps us to under­stand the response sur­face’s shape, iden­ti­fy rela­tion­ships between fac­tors, and find the con­di­tions that lead to opti­mal responses.