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May 4, 2016 6:44 AM
(1826 views)

Hi all,

I am trying to create a fractional factorial design for seven factors and one response. But I would also like to add "center or axial point" to the design to account for quadratic effect. I use quotation mark for the "center or axial point" because I don't know what to call these points. Essential these points that I want to add are center of one or two factor instead of all the factors.

I've tried CCD and screening design option in jmp, but couldn't find the design list I need.

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May 4, 2016 7:38 AM
(1532 views)

Solution

A couple of approaches that you can use for this scenario.

1.) You could use the screening design platform if you are looking for a classical fractional factorial and generate that baseline design That experiment can then be augmented where you could specify the polynomial terms in the model of interest and thus drive the center point settings on those treatment combinations.

2.) You could use the custom design platform and drive the experiment you are looking for directly utilizing the model again to specify the polynomial terms of interest.

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May 4, 2016 9:30 AM
(1531 views)

Solution

You could also use the Definitive Screening Design found under DOE > Definitive Screening Design after JMP11. The axial points that you are after are generally part of the response surface type of model which would require a lot of resources to run on 7 factors. The DSD is probably a better choice for what you are doing as it would only take around 17-18 runs depending on the set up and has center points for the overall design and each factor built in. For a fractional factorial that would be the equivalent resource requirement to a resolution IV design with 1-2 center points, but the fractional factorial wouldn't provide any curvature information.

There is a nice webinar on the topic here: http://www.jmp.com/en_gb/events/ondemand/mastering-jmp/using-definitive-screening-designs-to-get-mor...

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May 4, 2016 7:38 AM
(1533 views)

A couple of approaches that you can use for this scenario.

1.) You could use the screening design platform if you are looking for a classical fractional factorial and generate that baseline design That experiment can then be augmented where you could specify the polynomial terms in the model of interest and thus drive the center point settings on those treatment combinations.

2.) You could use the custom design platform and drive the experiment you are looking for directly utilizing the model again to specify the polynomial terms of interest.

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May 4, 2016 9:30 AM
(1532 views)

You could also use the Definitive Screening Design found under DOE > Definitive Screening Design after JMP11. The axial points that you are after are generally part of the response surface type of model which would require a lot of resources to run on 7 factors. The DSD is probably a better choice for what you are doing as it would only take around 17-18 runs depending on the set up and has center points for the overall design and each factor built in. For a fractional factorial that would be the equivalent resource requirement to a resolution IV design with 1-2 center points, but the fractional factorial wouldn't provide any curvature information.

There is a nice webinar on the topic here: http://www.jmp.com/en_gb/events/ondemand/mastering-jmp/using-definitive-screening-designs-to-get-mor...

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May 4, 2016 10:19 AM
(1453 views)

You are right, Michael. A fractional factorial design with a resolution of V will need 64 runs in my case. DSD is better in term of the time required.

One stupid question, why DSD doesn't allow me to add replicates?

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May 4, 2016 10:55 AM
(1453 views)

That depends - there isn't anything that is stoping you from running the design platform twice (randomizing the order of each replicate separately) and then concatenating the data tables together. JMP will treat the data the same and you'd effectively have a replicate. You might want to add an additional center point as well, but I would check the design evaluation to be sure.

If you just wanted to add some additional center points to check repeatability, you can use the second option in the blocking part of the DSD work flow. Just treat the number of blocks as the number of additional center points you want. JMP will add an additional center point for each "block" you specify.

On why there isn't a formal "replicates" option like in the other design platform. I'm not sure. It may be that, since the DSD is a "screening design," the primary focus is screening and not predictive modeling and they didn't think it was necessary. Not to say you can't do some modeling with DSD's - See Brad Jones' paper from JMP Discovery 2015 - just that the primary goal is a thorough and efficient screen. But that's just a guess.

M

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May 4, 2016 11:04 AM
(1453 views)

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May 5, 2016 7:16 AM
(1453 views)

Thanks for your further reply, Lou. I tried your 2nd solution for my problem. But I am new to JMP, so I am trying to be careful using custom design.

Here is what I did. I add one response to maximize it and seven continuous factors. In my model I add RSM to account for 1st and 2nd order interaction.

Because I want a modified fractional factorial design with a resolution of V, which should have 64 runs. So I specified here the runs to be 64 and get my design table.

Then my questions are

1) Will this design process solve my problem as a modified fractional factorial design with the "axial points" I want?

2) I don't need center points for my design, but I do get center points in this custom design table.

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May 5, 2016 8:09 AM
(1453 views)

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May 5, 2016 12:02 PM
(1453 views)

Definitive screening design sounds a better option since I also want to add one replicate, which will make the design over my budget.

Do you have any comment on how to add replicate to definitive screening design in JMP? Thanks.

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May 5, 2016 12:16 PM
(1453 views)

Replicate can be used to mean two different things. Would you like to replicate the entire experiment or just replicate a treatment combination (row).

If the latter is the case then I would just manually add a row at the end of the DSD generated of a replicate run at the end of the JMP table.