Quality control and improvement for multistage systems: A survey

被引：212

作者：

Shi, Jianjun ^{[1
]}

Zhou, Shiyu ^{[2
]}

机构：

[1] Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA

[2] Univ Wisconsin, Dept Ind & Syst Engn, Madison, WI 53706 USA

来源：

IIE TRANSACTIONS | 2009年 / 41卷 / 09期

基金：

美国国家科学基金会;

关键词：

Multistage systems; quality engineering; variation modeling and reduction; VARIATION-SOURCE IDENTIFICATION; DIMENSIONAL VARIATION PROPAGATION; MANUFACTURING PROCESSES; FAULT-DIAGNOSIS; VARIATION MODEL; VARIATION TRANSMISSION; REGRESSION ADJUSTMENT; VARIATION PATTERNS; DESIGN; DIAGNOSABILITY;

D O I：

10.1080/07408170902966344

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A multistage system refers to a system consisting of multiple components, stations or stages required to finish the final product or service. Multistage systems are very common in practice and include a variety of modern manufacturing and service systems. In most cases, the quality of the final product or service produced by a multistage system is determined by complex interactions among multiple stages-the quality characteristics at one stage are not only influenced by local variations at that stage, but also by variations propagated from upstream stages. Multistage systems present significant challenges, yet also opportunities for quality engineering research. The purpose of this paper is to provide a brief survey of emerging methodologies for tackling various issues in quality control and improvement for multistage systems including modeling, analysis, monitoring, diagnosis, control, inspection and design optimization.

引用

页码：744 / 753

页数：10

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