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The advantage of Generalized Subset Designs
The Generalized Subset Designs, GSD, represent a new DOE entry in MODDE Pro providing
reduced designs when handling multiple multilevel factors. This design setup generates a
series of reduced designs, subsets, which are logically linked. When combined, all subsets will
add up to a full multilevel multifactorial design.
Generalized Subset Designs, GSD, create a series of reduced design sets to use individually or
in combination. The objective for each individual design set is to be a balanced, unique and
representative sample of all possible factor combinations.
When to use GSD:
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For generation of efficient stability studies, up to 70% more efficient
Screening of multilevel factors, quantitative and qualitative
Sequential approach for large screening DOE designs
Non biased sample selection in databases or big data applications
DOE within Multivariate calibration
Concept overview
The key objective for using GSD is to be able to evaluate various potential factor effects and interactions from a reduced number of
experiments. In the following example, we will show the potential of GSD evaluating potential factor effects at an early stage.
With 72 possible factor combinations to evaluate, we see that a subset of 12 already gives a clear indication of the critical main
effect.
All 72 experiments
Subset of 12
Subset of 24 (12+12)
The key effect is Temperature and 12 experiments can statistically prove that the critical lower limit, Content > 95%, will not be violated.
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Getting started with the Generalized Subset Designs generation
Generalized Subset Designs are located on File | New under Specific application design.
Factor and Response Setup:
After selecting GSD, the Design Wizard opens and guides you
through the design generation. All factors to investigate are
defined here with appropriate ranges; factors can be quantitative,
quantitative multilevel, or qualitative. Then the responses are
defined, either regular or derived. You can have one or multiple
responses.
In this example, we investigate the four factors above. Here a full factorial design would result in 72 (=3*2*4*3) factor combinations,
and this is also the factor combinations that define the full GSD. With the GSD design we can reduce this complete set of factor
combinations to a sequence of subsets, i.e. 72 divided by an integer.
Define subset designs
When factors and responses have been defined, the next step is to specify
the subset designs. This is done on the Define Generalized subset designs
setup page by selecting which reduction to use and thus defining the
number of experiments per subset.
You can interactively change which reduction to use and it is possible to
generate new reductions and select any set of subset designs deemed
appropriate.
For each design set, the augmented list of details informs about the
design set in question; balanced or not, condition number and the number
of runs it contains.
Finish to generate a worksheet with the design sets
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