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The Alpha Risk of Taguchi Method for LTB Type Quality Characteristic with L8

机译:Taguchi方法的L 8 LTB类型质量特征的Alpha风险

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摘要

In Taguchi’s parameter design, the significant parameter levels are found by maximising the signal-to-noise ratio of the quality characteristic. In the analysis of variance (ANOVA) of signal-to-noise ratio, the combination of column effects to better estimate error variance is referred to as pooling. Taguchi has suggested the strategy of pooling up. When using the pooling-up strategy, there will be a tendency to make the alpha mistake more often. In this paper, it is assumed that (1) the quality chartacteristic is normally distributed and (2) the mean and standard deviation of each factor level combination are equal, then the null hypothesis should be no significant factor. Thus, the alpha risk is that some factors are misidentified as significant factors. The purpose of this paper is to investigate the alpha risk of the Taguchi method for the-larger-the-better (LTB) type problem with orthogonal array, L8, by simulation. The results show that the alpha risk is very high.
机译:在田口的参数设计中,通过最大化质量特征的信噪比来找到重要的参数级别。在信噪比方差分析(ANOVA)中,将列效应相结合以更好地估计误差方差被称为合并。田口提出了集中化战略。使用合并策略时,将倾向于更频繁地犯下alpha错误。在本文中,假设(1)质量图表特征是正态分布的,并且(2)每个因子水平组合的均值和标准差均等,则零假设不应该是重要因子。因此,阿尔法风险是某些因素被误认为是重要因素。本文的目的是通过仿真研究Taguchi方法对正交数组L 8 的更大更好(LTB)类型问题的alpha风险。结果表明,阿尔法风险很高。

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  • 来源
    《Quality and Quantity》 |2007年第5期|737-748|共12页
  • 作者单位

    Department of Industrial Engineering and Systems Management, Feng Chia University, P.O. Box 25-097, Taichung, Taiwan, 407;

    Department of Industrial Engineering and Systems Management, Feng Chia University, P.O. Box 25-097, Taichung, Taiwan, 407;

    Department of Applied Mathematics, Feng Chia University, P.O. Box 25-216, Taichung, Taiwan, 407;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Taguchi method; signal; to; noise ratio; alpha risk; simulation;

    机译:田口法;信噪比阿尔法风险;模拟;
  • 入库时间 2022-08-18 02:14:33

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