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具有可变抽样区间的非正态累积和控制图
引用本文:薛丽.具有可变抽样区间的非正态累积和控制图[J].运筹与管理,2016,25(3):94-98.
作者姓名:薛丽
作者单位:郑州航空工业管理学院 管理工程学院,河南 郑州 450000
基金项目:国家自然科学基金项目(U1204702, 71272207); 航空科学基金项目(2013ZG55024,2014ZG55021);河南省教育厅科学技术重点研究项目(14A630018)
摘    要:当过程存在小波动时,累积和控制图比传统的休哈特控制图监控效果灵敏。为了提高控制图的监控效率,本文针对非正态情形下的累积和控制图进行可变抽样区间设计。首先用Burr分布近似各种非正态分布,构造可变抽样区间的非正态累积和控制图;其次利用马尓可夫链方法计算其平均报警时间;最后研究结果表明, 所设计的可变抽样区间非正态累积和控制图较固定抽样区间的非正态累积和控制图能更好地监控过程的变化。

关 键 词:累积和控制图  Burr分布  可变抽样区间  马尓可夫链方法  平均报警时间  
收稿时间:2013-11-24

CUSUM Control Chart with Variable Sampling Intervals Under non-normal Distribution
XUE Li.CUSUM Control Chart with Variable Sampling Intervals Under non-normal Distribution[J].Operations Research and Management Science,2016,25(3):94-98.
Authors:XUE Li
Institution:School of Management Engineering, Zhengzhou University of Aeronautical Industry Management, Zhengzhou, 450000, China
Abstract:When the process has the small shift, CUSUM control chart can find the shift faster than the traditional Shewhart control chart. In order to improve the monitoring efficiency of control chart, CUSUM control chart with variable sample intervals(VSI)for non-normal data is proposed in this paper. Firstly, VSI CUSUM control chart is developed using Burr distribution to approximate various non-normal distributions. Secondly, the Markov chain method is used to calculate the average time to signal. Finally, the computing results show that the VSI CUSUM control chart for non-normal data is more efficient in detecting shifts than the fixed sampling interval(FSI)CUSUM control chart for non-normal data.
Keywords:CUSUM control chart  burr distributions  variable sampling intervals  Markov chain method  average time to signal  
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