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Improved design of quantile-based control charts * 3 777

机译:基于分位数的控制图的改进设计* 3777

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In a manufacturing process, deterioration in quality may be represented by changes in process variables’ distributions rather than shifts in their means or variances. In this case, when means or variances cannot reflect the real process conditions, we need to monitor whether a sample conforms to an in-control distribution. Quantile-based control charts are suitable tools which can do the monitoring. However, there are no specific procedures for the users to follow to construct such a chart. In this article, we propose a new criterion for the construction of the quantile-based control chart. With this criterion, appropriate quantiles are selected to maximize the test power of the charted statistic. We study most commonly used distributions and specify guidelines for the construction of the quantile-based control charts. Simulation results demonstrate the high efficiency of the proposed method. View full textDownload full textKeywordschi square, quantile-based control charts, statistical process controlKeywords ; ; Related var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/10170669.2011.636383
机译:在制造过程中,质量下降可能由过程变量分布的变化而不是其均值或方差的变化来表示。在这种情况下,当均值或方差不能反映真实的过程条件时,我们需要监视样本是否符合控制内分布。基于分位数的控制图是可以进行监视的合适工具。但是,用户没有遵循特定的程序来构建这样的图表。在本文中,我们为基于分位数的控制图的构建提出了新的准则。以此标准为基础,选择适当的分位数以最大化统计图表的检验能力。我们研究最常用的分布,并为基于分位数的控制图的构建指定准则。仿真结果证明了该方法的高效率。查看全文下载全文Keywordschi方格,基于分位数的控制图,统计过程controlKeywords; ;相关的var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,servicescompact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多”,pubid:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/10170669.2011.636383

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