摘要
在实际生产中许多稳定的加工过程不一定满足正态性假设,使得传统的过程能力指数度量失准。为此介绍总结了若干种数据转换方式,将质量特性的分布映射为正态形式,在此基础上再计算过程能力指数。讨论了过程能力指数置信下限与抽样容量、批量产品不合格率之间的对应关系,并给出了非正态分布条件下加工过程抽样方案的设计流程。以某曲轴加工过程为例给出案例分析。
In many steady processes,quality measurements are not subject to normal distribution.This paper presents several ways of data transformation to map quality measurements to normal variables,and then calculates PCIs.Also the paper discusses the relationship between lower confidence limits and PCIs,as well as the percentage of unqualified products in process.A flow chart is given for sampling design under the conditions of non-normal distributions.An example of crank process is demonstrated.
出处
《工业工程》
2005年第4期86-89,共4页
Industrial Engineering Journal
基金
国家自然科学基金资助项目(70271040)
