论文对生产过程的多元质量控制和诊断技术进行了分析与探讨,针对在生产过程中多个特性的相关性给出了相应的算法,改进了传统的使用多个单变量控制图分别探测生产过程的波动方法,同时,从功能的角度介绍了作者开发设计的用于多元质量控制...论文对生产过程的多元质量控制和诊断技术进行了分析与探讨,针对在生产过程中多个特性的相关性给出了相应的算法,改进了传统的使用多个单变量控制图分别探测生产过程的波动方法,同时,从功能的角度介绍了作者开发设计的用于多元质量控制的分析软件MPAC(Measurement Process Analysis and Control)。展开更多
In this article, we propose two control charts namely, the “Multivariate Group Runs’ (MV-GR-M)” and the “Multivariate Modified Group Runs’ (MV-MGR-M)” control charts, based on the multivariate normal processes, ...In this article, we propose two control charts namely, the “Multivariate Group Runs’ (MV-GR-M)” and the “Multivariate Modified Group Runs’ (MV-MGR-M)” control charts, based on the multivariate normal processes, for monitoring the process mean vector. Methods to obtain the design parameters and operations of these control charts are discussed. Performances of the proposed charts are compared with some existing control charts. It is verified that, the proposed charts give a significant reduction in the out-of-control “Average Time to Signal” (ATS) in the zero state, as well in the steady state compared to the Hotelling’s T2 and the synthetic T2 control charts.展开更多
文摘论文对生产过程的多元质量控制和诊断技术进行了分析与探讨,针对在生产过程中多个特性的相关性给出了相应的算法,改进了传统的使用多个单变量控制图分别探测生产过程的波动方法,同时,从功能的角度介绍了作者开发设计的用于多元质量控制的分析软件MPAC(Measurement Process Analysis and Control)。
文摘In this article, we propose two control charts namely, the “Multivariate Group Runs’ (MV-GR-M)” and the “Multivariate Modified Group Runs’ (MV-MGR-M)” control charts, based on the multivariate normal processes, for monitoring the process mean vector. Methods to obtain the design parameters and operations of these control charts are discussed. Performances of the proposed charts are compared with some existing control charts. It is verified that, the proposed charts give a significant reduction in the out-of-control “Average Time to Signal” (ATS) in the zero state, as well in the steady state compared to the Hotelling’s T2 and the synthetic T2 control charts.
