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JMP 12 Design of Experiments Guide by SAS Institute

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Overview of Custom Design
Use the Custom Design platform to construct an optimal design custom built for your specific experimental needs.
You can include a wide range of factor types, including the following:
Continuous
Discrete numeric (with any number of levels)
Categorical (with any number of levels)
Blocking (with an arbitrary number of runs per block)
Covariate
Mixture
Constant
Uncontrolled
Specify the Region of Operability
You can restrict your experimental region to reflect your operating conditions using linear factor constraints or disallowed combinations. In particular, restrictions can be specified for categorical, continuous, and discrete numeric factors. See “Define Factor Constraints”.
Specify Factors with Hard-to-Change ...

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