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Complexity, and supply chains that may expand across the globe, requires one to design experiments that must take into account: the multi-step nature of manufacturing processes, the large number of factors involved, the different sizes of experimental units, the restrictions in randomization that occur, and the constraints in the number of experiments that can be run. Designing experiments for these situations can challenge many design of experiments software packages. However, the JMP-SAS integration now allows one to take advantage not only of the flexibility and power of the Custom Designer, but also of new capabilities of SAS 9.2 PROC FACTEX to design experiments for multi-step processes.
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