两水平正交筛选设计,包括80、96和112组试验,多达29个因素

IF 2.6 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Alan R. Vazquez, E. Schoen, P. Goos
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引用次数: 4

摘要

由于最近实验室设备的发展进步,现在可以进行大型筛选实验来研究多达几十个因素的共同影响。虽然我们对涉及64和128个试验的正交设计了解很多,但缺乏关于中等试验规模筛选设计的文献。因此,在本文中,我们构建了80次、96次和112次的筛选设计,允许主效应独立于两因素相互作用的估计,并限制相互作用之间的混叠。我们使用14因素结核病抑制实验来激励我们的工作,并使用模拟将我们的新设计与文献中的替代方案进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two-level orthogonal screening designs with 80, 96, and 112 runs, and up to 29 factors
Abstract Due to recent advances in the development of laboratory equipment, large screening experiments can now be conducted to study the joint impact of up to a few dozen factors. While much is known about orthogonal designs involving 64 and 128 runs, there is a lack of literature on screening designs with intermediate run sizes. In this article, we therefore construct screening designs with 80, 96 and 112 runs which allow the main effects to be estimated independently from the two-factor interactions and limit the aliasing among the interactions. We motivate our work using a 14-factor tuberculosis inhibition experiment and compare our new designs with alternatives from the literature using simulations.
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来源期刊
Journal of Quality Technology
Journal of Quality Technology 管理科学-工程:工业
CiteScore
5.20
自引率
4.00%
发文量
23
审稿时长
>12 weeks
期刊介绍: The objective of Journal of Quality Technology is to contribute to the technical advancement of the field of quality technology by publishing papers that emphasize the practical applicability of new techniques, instructive examples of the operation of existing techniques and results of historical researches. Expository, review, and tutorial papers are also acceptable if they are written in a style suitable for practicing engineers. Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days
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