Staggered designs for experiments with more than one hard-to-change factorStaggered designs for experiments with more than one hard-to-change factor
Faculty of Applied Economics
Mathematics, Statistics and Actuarial Sciences
Antwerp :UA, Faculty of Applied Economics, 2008[*]2008
Research paper / University of Antwerp. Faculty of Applied Economics ; 2008: 018
University of Antwerp
In many industrial experiments, some of the factors are not independently reset for each run. This is due to time and/or cost constraints and to the hard-tochange nature of these factors. Most of the literature restricts the attention to split-plot designs in which all the hard-to-change factors are independently reset at the same points in time. This constraint is to some extent relaxed in split-split-plot designs because these require the least hard-to-change factors to be reset more often than the most hard-to-change factors. A key feature of the split-split-plot designs, however, is that the least hard-to-change factors are reset whenever the most hardto- change factors are reset. In this article, we relax this constraint and present a new type of design which allows the hard-to-change factor levels to be reset at entirely dierent points in time. We show that the new designs are cost-ecient and that they outperform split-plot and split-split-plot designs in terms of statistical eciency. Because of the fact that the hard-to-change factors are independently reset alternatingly, an appropriate name for the new design is staggered design.