摘要
将ARMA(n,n-1)模型应用到具有自相关性的生产过程中,提出了基于该模型的统计控制图。使用蒙特卡洛方法进行数据模拟,与其它文献比较可得,当生产过程平稳时,ARMA(n,n-1)控制图的性能要远远地超过ARMA(1,1)控制图;当生产过程不平稳时,ARMA(n,n-1)控制图也能达到预期目的。并在此基础上,设计了ARMA(n,n-1)统计控制图的操作步骤。
We apply the ARMA（n,n-1） model to the production system where there is autocorrelation,and propose a new statistical control chart based on the model.The Monte Carlo method is used to simulate the data.Compared with other papers,the results show that ARMA（n,n-1） control chart significantly outperforms the ARMA（1,1） one when the production process is stationary;when facing unstable production process,ARMA（n,n-1） control chart can also have a good performance.Based on the results,we design the rules for choosing parameters and the procedure of constructing an ARMA（n,n-1） control chart.
出处
《工业工程与管理》
北大核心
2011年第3期121-124,共4页
Industrial Engineering and Management
