教師資料查詢 | 類別: 期刊論文 | 教師: 蔡宗儒 TZONG-RU TSAI (瀏覽個人網頁)

標題:Linear profiles monitoring in the presence of nonnormal random errors
學年107
學期2
出版(發表)日期2019/07/23
作品名稱Linear profiles monitoring in the presence of nonnormal random errors
作品名稱(其他語言)
著者Chung‐I Li; Tzong‐Ru TsaI
單位
出版者
著錄名稱、卷期、頁數Quality and Reliability Engineering International 2019, p.1-14
摘要Profile monitoring is a technique to test the stability of the relationship between a response variable and explanatory variables over time. The most relevant linear profile monitoring methods have been constructed using the normality assumption. However, the normality assumption could be violated in many quality control applications. In this study, we consider a situation in which the random errors in a linear profile model follow a skew‐normal distribution. The skew‐normal distribution is a generalized version of the normal distribution. A new Shewhart‐type chart and exponentially weighted moving average (EWMA) chart, named the ShewhartR and EWMAR charts, respectively, are constructed based on residuals to monitor the parameters of linear profile model. The simulation results show that the multivariate EWMA chart is sensitive to the normality assumption and that the proposed ShewhartR and EWMAR charts have good ability to detect big and small‐to‐moderate process shifts, respectively. An example using photo mask techniques in semiconductor manufacturing is provided to illustrate the applications of the ShewhartR and EWMAR charts.
關鍵字EWMA;chart generalized likelihood ratio test;linear profile;Shewhart‐type residual chart;skew normal distribution
語言英文(美國)
ISSN
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版
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