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Erschienen in: Research in Engineering Design 2/2003

01.05.2003 | Original Paper

A role for "one-factor-at-a-time" experimentation in parameter design

verfasst von: Daniel D. Frey, Fredrik Engelhardt, Edward M. Greitzer

Erschienen in: Research in Engineering Design | Ausgabe 2/2003

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Abstract

This paper explores the role of one-at-a-time experimentation in parameter design of engineering systems. The focus is on degree of improvement achieved rather than on efficiency in estimating model parameters. The performance of adaptive one-at-a-time plans is compared with the performance of orthogonal arrays through computer simulations based on data from 66 response variables in 27 full factorial experiments described in science and engineering journals and textbooks. From the simulation results, a map of the expected gains in performance is provided as a function of the degree of pure experimental error and the strength of interactions among experimental factors. When experimental error is small (less than a quarter of the factor effects) or the interactions among control factors are large (more than one-quarter of all factor effects), an adaptive one-at-a-time strategy tends to achieve greater gains than those provided by orthogonal arrays.

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Fußnoten
1
Each of the seven factors can have two levels in this example. Note that the response shown is purely notional and is designed to provide an instructive example of the algorithm; it is not data from any actual experiment.
 
2
The notation OA8(27) denotes that it is an orthogonal array with eight experiments with seven two-level factors.
 
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Metadaten
Titel
A role for "one-factor-at-a-time" experimentation in parameter design
verfasst von
Daniel D. Frey
Fredrik Engelhardt
Edward M. Greitzer
Publikationsdatum
01.05.2003
Verlag
Springer-Verlag
Erschienen in
Research in Engineering Design / Ausgabe 2/2003
Print ISSN: 0934-9839
Elektronische ISSN: 1435-6066
DOI
https://doi.org/10.1007/s00163-002-0026-9

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