The Best of Both Worlds: Designing Complex Experiments in the JMP-SAS Environment
Jose Ramirez, W.L. Gore and Associates Inc.
Complexity, and supply chains that may expand across the globe, requires us to design experiments that must take into account: 1) the multi-step nature of manufacturing processes, 2) the large number of factors involved, 3) the different sizes of experimental units, 4) the restrictions in randomization that occur, and 5) 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 us 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. The gamut of manufacturing situations that can now be handled with JMP-SAS will be illustrated using the Custom Designer to design an experiment for a complex manufacturing situation involving a hard-to-vary factor, 9 process factors, and 8 mixture factors; and demonstrating how a JMP-SAS application can be used to design experiments for 3, 4, and 5 step processes.