turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

Find a Community

- Home
- /
- Learn SAS
- /
- Analytics U
- /
- Design of Experiments

Topic Options

- RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

12-16-2014 11:24 AM

I am new in design of experiment field. I now is having problem in deciding which approach of DOE i should use in my project. I got 4 factors with each 3 levels. So which approach i should use?

- Mark as New
- Bookmark
- Subscribe
- RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to koksiang100

12-16-2014 11:32 AM

and how to determine the number of replication??

- Mark as New
- Bookmark
- Subscribe
- RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to koksiang100

12-16-2014 01:10 PM

For the approach, normally you would determine what model you want to fit, and then choose a design that allows you to fit that model. Sometimes, you can't do all the necessary runs (3**4=81 runs in your case) in which case you would have to consider fractionating the design.

The number of replicates depends on the precision you want for your estimates, and again the number of runs you can afford.

This is all covered in great detail in many standard textbooks on design of experiments. It's far too complex and detailed to really cover in an internet forum.

Here is one such book (but there are many that cover this topic)

http://www.amazon.com/Practical-Experiment-Designs-Engineers-Scientists/dp/0471390542

--

Paige Miller

Paige Miller

- Mark as New
- Bookmark
- Subscribe
- RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to PaigeMiller

12-16-2014 01:25 PM

i had read some journal on it and most of the journalist are using the Full factorial experimental design,which is 2**k ~ if I wish to use that, I will have to run 81 runs right?

if I wish to fractionating it, the runs I should make is which formula ? 2***(k-1)?

- Mark as New
- Bookmark
- Subscribe
- RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to koksiang100

12-16-2014 03:49 PM

You have three level factors, and you have four of them. That's 3**4=81 runs for a full factorial. A fractional factorial would be 3**(4–k) where k=1 or k=2.

Again, you need to know what model is being fit here, or you can't really determine what to do.

--

Paige Miller

Paige Miller

- Mark as New
- Bookmark
- Subscribe
- RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to PaigeMiller

12-16-2014 08:32 PM

how to know whether fit o not?

- Mark as New
- Bookmark
- Subscribe
- RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to PaigeMiller

12-16-2014 09:12 PM

Response output : Actual output of a model product

Input factor : Buffer capacity

Failure time of machine

Number of operator

Number of machine

each factor are 3 levels

in this case I should consider fractional? if like that how to determine the k in fractional design?