The Application of Monte Carlo Simulation for Statistical Process Control

被引：0
|
作者：
Zhang, Lin [1 ]
机构：
[1] Zhengzhou Inst Aeronaut Ind Management, Zhengzhou 450015, Peoples R China
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE OF MANAGEMENT ENGINEERING AND INFORMATION TECHNOLOGY, VOLS 1 AND 2 | 2009年
关键词：
Monte Carlo simulation; SPC (Statistical Process Control); random number;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Statistical process control (SPC) is a powerful tool for process quality improvement. The data collection and analysis is important during the research of SPC. Analytic method is widely used to find the mass data of experiment, which is sometimes hardly to find the result. In this paper, Monte Carlo simulation is introduced as a effective method of analysis and solution for the statistical process control. The estimate of probability for criterions is an examples to explain how to use Monte Carlo simulation in the research of process quality improvement.
引用
收藏
页码：853 / 856
页数：4
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