Design of Experiments: Useful Orthogonal Arrays for Number of Experiments from 4 to 16
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CONTRIBUTORS:
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JOURNAL:
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YEAR:
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2007
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PUB TYPE:
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Journal Article
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SUBJECT(S):
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informatics - models implementation; mathematics - algebra; mathematics - analysis; mathematics - applied; mathematics - modeling; mathematics - number theory; mathematics - optimization; mathematics - statistics
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DISCIPLINE:
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Mathematics
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HTTP:
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http://lori.academicdirect.org/works/?f=169
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LANGUAGE:
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English
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PUB ID:
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103-439-516
(Last edited on
2007/12/31 06:57:22 US/Mountain)
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SPONSOR(S):
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ABSTRACT:
A methodology for the design of an experiment is proposed in order to find as many schemes as possible with the maximum number of factors with different levels for the smallest number of experimental runs. An algorithm was developed and homemade software was implemented. The abilities in generation of the largest groups of orthogonal arrays were analyzed for experimental runs of 4, 6, 8, 9, 10, 12, 14, 15, and 16. The results show that the proposed method permits the construction of the largest groups of orthogonal arrays with the maximum number of factors.
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