ENBIS-12 in Ljubljana

9 – 13 September 2012 Abstract submission: 15 January – 10 May 2012

Three-stage Industrial Strip-plot Experiments

12 September 2012, 10:10 – 10:30


Submitted by
Heidi Arnouts
Heide Arnouts (University of Antwerp), Peter Goos (University of Antwerp)
Strip-plot designs are commonly used in situations where the production process consists of two process stages involving hard-to-change factors and where it is possible to apply the second stage to semi-finished products from the first stage. In this presentation we focus on three-stage processes. As opposed to the three-stage strip-plot designs in the literature, the third stage does not involve hard-to-change factors but easy-to-change factors that are reset independently for each run. For this scenario, the split-split-plot design is a well-known design option. However, we prefer the more statistically efficient strip-plot designs, and, therefore, we construct D-optimal strip-plot designs for three-stage processes with no randomization restriction in the third stage. The coordinate-exchange algorithm we use to construct our designs can handle any type of factor and any number of factor levels, runs, rows and columns.

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