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台湾政治大学 杨素芬教授:Process Variability Monitoring Using a Double Sampling Scheme

([西财新闻] 发布于 :2018-05-16 )

光华讲坛——社会名流与企业家论坛第4951期

 

主题:Process Variability Monitoring Using a Double Sampling Scheme

主讲人台湾政治大学 杨素芬教授

主持人:统计学院 林华珍教授

时间:2018年5月18日(星期五)下午4:00-5:00

地点西南财经大学柳林校区弘远楼408会议室

主办单位:统计研究中心 统计学院 科研处

主讲人简介:

杨素芬,现为台湾国立政治大学统计系教授, 其研究方向是品质管理、工业统计、概率模式。现已发表期刊论文54篇,研讨会论文43篇。专著1本(Quality Management 1st and 2nd edition, Hua-Tai company, 2003, 2006。她担任过30个期刊杂志的审稿人,例如Journal of quality Technology,Naval Research Logistics等。

摘要

Control charts are effective tools for signal detection in both manufacturing processes and service processes. Much of the data in service industries come from processes exhibiting non-normal or unknown distributions. The commonly used traditional variable control charts, which depend heavily on the normality assumption, are not appropriately used here. This paper thus proposes a DS EWMA-AV chart for monitoring process variability. We further explore the sampling properties of the new monitoring statistics, and calculate the average run lengths when using the proposed DS EWMA-AV chart. The performance of the DS EWMA-AV chart and those of non-parametric variance charts by considering cases in which the critical quality characteristic presents a normal and non-normal distribution are compared. Comparison results show that the proposed chart always outperforms the latter. Keywords: process variability; binomial distribution; free-distribution; average run length


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