Some robust parameter designs from orthogonal arrays
Some robust parameter designs from orthogonal arrays
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DOI：
10.1080/02664760802382467
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发表时间：
2008-10
影响因子：
1.5
通讯作者：
P. Angelopoulos;C. Koukouvinos
中科院分区：
文献类型：
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作者：
P. Angelopoulos;C. Koukouvinos
鲁棒参数设计，最初由田口提出[实验设计系统，卷。I和II，UNIPUB，纽约，1987]，是一种离线生产技术，用于通过使用产品阵列来减少变化并提高产品的质量。然而，使用乘积阵列会导致运行次数过多。为了克服这个缺点，一些科学家提出了使用组合阵列，其中控制和噪声因素被组合在一个阵列中。在本文中，我们使用非同构的正交表作为组合数组，以识别一个模型，其中包含所有的主效应（控制和噪声），它们的控制与噪声的相互作用和它们的控制与控制的相互作用与高效率。一些情况下，由控制噪声的控制也被认为是感兴趣的。
Robust parameter design, originally proposed by Taguchi [System of Experimental Design, Vols. I and II, UNIPUB, New York, 1987], is an offline production technique for reducing variation and improving a product's quality by using product arrays. However, the use of the product arrays results in an exorbitant number of runs. To overcome this drawback, several scientists proposed the use of combined arrays, where the control and noise factors are combined in a single array. In this paper, we use non-isomorphic orthogonal arrays as combined arrays, in order to identify a model that contains all the main effects (control and noise), their control-by-noise interactions and their control-by-control interactions with high efficiency. Some cases where the control-by-control-noise are of interest are also considered.