ENBIS: European Network for Business and Industrial Statistics

Optimal strip-plot experimental plans for two-stage batch processes

24 September 2008, 09:00 – 09:20

Abstract

Submitted by

heidi arnouts

Authors

Heidi Arnouts (1), Bradley Jones (2), Peter Goos (1)

Affiliation

(1) University of Antwerp, (2) SAS Institute Inc.

Abstract

The cost of experimentation can often be reduced substantially by forgoing complete
randomization. Examples of designs with a restricted randomization are split-plot
and split-split-plot designs, which are commonly used in industry when some ex-
perimental factors are harder to change than others. Another, lesser known type
of experimental design plan is the strip-plot experimental design, also known as
the strip-block experimental design (Miller, 1997). Strip-plot congurations are an
economically attractive design option in situations where the process under inves-
tigation consists of two distinct stages, and it is possible to apply the second stage
to groups of semi-nished products from the rst stage. They have a correlation
structure similar to row-column designs and can be seen as special cases of split-lot
designs (Mee and Bates, 1998; Butler, 2004). In this contribution, we present an
algorithm for the construction of optimal strip-plot designs. Several examples will
be discussed.

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