Publication
Title
Design and analysis of industrial strip-plot experiments
Author
Abstract
The cost of experimentation can often be reduced by forgoing complete random- ization. A well-known design with restricted randomization is a split-plot design, which is commonly used in industry when some experimental factors are harder to change than others or when a two-stage production process is studied. Split-plot designs are also often used in robust product design to develop products that are insensitive to environmental or noise factors. Another, lesser known, type of experi- mental design plan that can be used in such situations is the strip-plot experimental design. Strip-plot designs are economically attractive in situations where the fac- tors are hard to change and the process under investigation consists of two distinct stages, and where it is possible to apply the second stage to groups of semi-finished products from the first stage. They have a correlation structure similar to row- column designs and can be seen as special cases of split-lot designs. In this paper, we show how optimal design of experiments allows for the creation of a broad range of strip-plot designs.
Language
Dutch
Source (series)
Research paper / University of Antwerp ; 2009:7
Publication
Antwerpen : Universiteit Antwerpen, 2009
Volume/pages
19 p.
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identification
Creation 02.07.2009
Last edited 23.12.2015
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