GUEST LECTURER
Bradley Jones

AFFILIATION
Senior Manager of Statistical R&D, SAS Institute Inc.

ABSTRACT
In industrial experimentation there is growing interest in studies that span more than one processing step. Convenience often dictates restrictions in randomization in passing from one processing step to another. When the study encompasses three processing steps, this leads to split-split-plot designs.

In this talk I will show how to compute D-optimal split-split-plot designs and provide illustrative examples using a pre-release version of JMP software. I conclude by considering D-optimal alternatives to a previously run split-split-plot design for cheese production.