关键词: 贝叶斯标均值&mdash, 标准差控制图, 经济性分析, 迅速识别, 最优控制限

Abstract: To realize the function of quick identifying unusual features of Bayesian quality control chart under certain production conditions,a Bayesian rapid identification control chart which combined economic analysis and process simulation was constructed.The optimal control limits and operating rules were set up based on optimal economic indicators in this control chart,which could achieve the two-way function of economic and rapid identification.To analyze the statistical performance of Bayesian control chart with economic analysis,by using Monte Carlo simulation technology,the Average Run Length (ARL) difference efficiency was applied as the performance index to compare with Shewhart control chart,current general Bayesian control chart and economic control chart.It was confirmed that the proposed control chart could efficiently identify the process offset and alarm,and had more cost advantages.

Key words: Bayesian mean-standard control charts, economic analysis, rapid identification, optimal control limit