TUESDAY, MAY 21, 2013
Font Size
Topic Mixture DOE

Mixture DOE

HomeForumsRegional ViewsEuropeMixture DOE

This topic has 3 voices, contains 2 replies, and was last updated by Avatar of JG JG 363 days ago.

Viewing 3 posts - 1 through 3 (of 3 total)
Author Posts
Author Posts
March 5, 2010 at 9:39 am #166853
Avatar of Andrew Bairstow
Bairstow
Reputation - 0
Rank - Aluminum

I have been tasked with performing a Mixture DOE & i could do with some advice. I’m familar with factorial DOE’s but not mixtures. I’ve done some research in the types of MDOE-simplex centroid, lattice, extreme vertices, but im still unsure about the approach.

The experiment would be based on a mix that is coated on to paper to enable a good print quality. I have 5 critical X’s ( 3 binders & 2 pigments). For a typical 1000 kg mix Pigment A is 600 kg, pigment B 350 kG, Binder A 20Kg, Binder B 20Kg & binder C10 Kg. This is just an example of 1 mix, other mixes have varying proportions of the different components.

The critical Y’s im looking at are smothness, pick, gloss & whiteness of the coating. I’m trying to rationalise the number of mixes produced, possibly reduce costs on the expensive pigments & create predictive models for my critical Y’s.

I’m using Minitab & have experimented with some extreme vertices designs. Could anyone give some advice on this matter.

thanks

Andy

March 5, 2010 at 2:52 pm #166854
Avatar of Michael Putnam
Putnam
Reputation - 12
Rank - Aluminum

For a mixture design, that’s a fair number of variables. I don’t know what your cost is, but if you’re doing this in 1000Kg batches, the exercise will probably not cheap.

Have you looked into a simplex method or some variation on that idea? It’s less structured, but may work in this situation.

April 10, 2010 at 1:08 am #167224
Avatar of JG
JG
Reputation - 0
Rank - Aluminum

You definitely need to go small scale first. You also need to understand your constraints. If you have no upper bounds on your components you could use a simplex design and save some runs over your extreme vertices design. You also need to determine what relationship model you suspect you need to fit. You can screen first with a lattice design of degree 3 or 4 and then go with a higher degree when you get some relative operating ranges and eliminate some of the factors. With 5 components you need to really understand your goals and have some science to point you in a good direction before choosing the specific design

Viewing 3 posts - 1 through 3 (of 3 total)

Register Now

  • Stop this in-your-face notice
  • Reserve your username
  • Follow people you like, learn from
  • Extend your profile
  • Gain reputation for your contributions
  • No annoying captchas across site
And much more! C'mon, register now.

Reply To: Mixture DOE
Your information:






<a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>


Practical Lean Six Sigma Problem Solving from Air Academy Associates
Lean and Six Sigma eLearning and Blended Solutions
Lean and Six Sigma Project Examples

Login Form