Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 16

Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 16

A methodology for the design of an experiment is proposed in order to find asmany schemes as possible with the maximum number of factors with different levels for thesmallest number of experimental runs. An algorithm was developed and homemadesoftware was implemented. The abilities in generation of...

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Main Authors: Lorentz Jäntschi, Sorana D. Bolboacă
Format: Article
Language:English
Published: MDPI AG 2007-12-01
Series:Entropy
Subjects:
Design of experiment
orthogonal arrays
Taguchi method.
Online Access:http://www.mdpi.com/1099-4300/9/4/198/
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spelling doaj-1d5b533c61364c1dac556dae8132cf202020-11-24T23:33:53ZengMDPI AGEntropy1099-43002007-12-019419823210.3390/e9040198Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 16Lorentz JäntschiSorana D. BolboacăA methodology for the design of an experiment is proposed in order to find asmany schemes as possible with the maximum number of factors with different levels for thesmallest number of experimental runs. An algorithm was developed and homemadesoftware was implemented. The abilities in generation of the largest groups of orthogonalarrays were analyzed for experimental runs of 4, 6, 8, 9, 10, 12, 14, 15, and 16. The resultsshow that the proposed method permits the construction of the largest groups of orthogonalarrays with the maximum number of factors.http://www.mdpi.com/1099-4300/9/4/198/Design of experimentorthogonal arraysTaguchi method.
collection DOAJ
language English
format Article
sources DOAJ
author Lorentz Jäntschi
Sorana D. Bolboacă
spellingShingle Lorentz Jäntschi
Sorana D. Bolboacă
Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 16
Entropy
Design of experiment
orthogonal arrays
Taguchi method.
author_facet Lorentz Jäntschi
Sorana D. Bolboacă
author_sort Lorentz Jäntschi
title Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 16
title_short Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 16
title_full Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 16
title_fullStr Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 16
title_full_unstemmed Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 16
title_sort design of experiments: useful orthogonal arrays for number of experiments from 4 to 16
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2007-12-01
description A methodology for the design of an experiment is proposed in order to find asmany schemes as possible with the maximum number of factors with different levels for thesmallest number of experimental runs. An algorithm was developed and homemadesoftware was implemented. The abilities in generation of the largest groups of orthogonalarrays were analyzed for experimental runs of 4, 6, 8, 9, 10, 12, 14, 15, and 16. The resultsshow that the proposed method permits the construction of the largest groups of orthogonalarrays with the maximum number of factors.
topic Design of experiment
orthogonal arrays
Taguchi method.
url http://www.mdpi.com/1099-4300/9/4/198/
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