过程能力分析中的过程稳定性及指数估计  

The process stability and index estimation of process capability analysis

作　　者：边永生[1] 杨彬[1] 杨剑锋[2] 

机构地区：[1]中国烟草总公司职工技术培训中心,郑州450008 [2]西北工业大学管理学院,西安710072

出　　处：《现代制造工程》2006年第12期10-12,124,共4页Modern Manufacturing Engineering

基　　金：国家自然科学基金资助项目(70572050);河南省软科学研究资助项目(0413011500)

摘　　要：在过程能力分析中通常采用子样级差或样本总体标准差来估计总体标准差。实际生产中的一些过程由于刀具磨损等系统原因导致周期性变化,很难处于统计过程控制。定义此类过程是长期稳定过程,通过建立数学模型,比较两种过程能力指数的估计方法,分析产生的原因并进行仿真研究。The standard deviation in Process Capability Index （PCI） is estimated by using the subgroup ranges or the sample standard deviation. Lots of processes in practice are usually not in statistical control because of some assignable reason leading to periodically change, but they are stable for long period. The models and process stability in the cases are discussed and the processes are defined as being stable. The results of PCI estimator from two methods are compared and the reason of differences is analyzed. The simulation studies support the aforementioned analysis.

关 键 词：过程能力指数 过程稳定性 标准差估计 周期过程 

分 类 号：TH161.5[机械工程—机械制造及自动化]