PROCESS CAPABILITY ANALYSIS AND ESTIMATION SCHEME FOR AUTOCORRELATED DATA

被引：16

作者：

Sun, Jing ^{[1
]}

Wang, Shengxian ^{[1
]}

Fu, Zhihui ^{[1
]}

机构：

[1] Tsinghua Univ, Sch Econ & Management, Res Ctr Contemporary Management, Key Res Inst Humanities & Social Sci Univ, Beijing 100084, Peoples R China

来源：

JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING | 2010年 / 19卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Autocorrelation; estimation; process capability analysis; statistical process control; C-P;

D O I：

10.1007/s11518-010-5127-9

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

Autocorrelation is prevalent in continuous production processes, such as the processes in the chemical and pharmaceutical industries. With the development of measurement technology and data acquisition technology, sampling frequency is getting higher and the existence of autocorrelation cannot be ignored. This paper analyzes five estimation schemes of process capability for autocorrelated data. Comparisons among these schemes are discussed for small sample and large sample. In conclusion, this paper gives a procedure of process capability analysis for autocorrelated data.

引用

页码：105 / 127

页数：23