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  • 标题:AN EXPERIMENTAL STRATEGY FOR FRACTIONATING 33 AND 34 FACTORIAL EXPERIMENTS
  • 本地全文:下载
  • 作者:Chukwunonso Emmanuel Ozoemena ; Philip Hackney ; Martin Birkett
  • 期刊名称:International Journal for Quality Research
  • 印刷版ISSN:1800-6450
  • 电子版ISSN:1800-7473
  • 出版年度:2019
  • 卷号:13
  • 期号:3
  • DOI:10.24874/IJQR13.03-01
  • 语种:English
  • 出版社:Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia
  • 摘要:In the design of statistical experiments, situations may arise when resource constraints hinder the use of factorial designs for process improvement. This paper explores how 9, 18 and 27-run orthogonal arrays compare against each other and against a proposed experimental plan referred to as a ‘Segmented Fractional Plan’ when used to fractionate 33 and 34 factorial experiments. Based on the analysis of 8 responses from 6 factorial experiments, it was observed that to identify the process setting that produces the desired product quality, with a reduced number of experimental runs, the segmented fractional plan can perform as well or better than some orthogonal arrays thus, providing an option for fractionating 33 and 34 factorial experiments.
  • 关键词:Three-level fractional factorial designs; threelevel orthogonal arrays; design of experiments; process improvement; quality improvement.
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