Statistical quality control and improvement

被引：21
|
作者：
Stuart, M
Mullins, E
Drew, E
机构：
[1] Department of Statistics, Trinity College
来源：
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 1996年 / 88卷 / 02期
关键词：
statistical process control; industrial experimentation; continuous improvement; total quality;
D O I：
10.1016/0377-2217(95)00069-0
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
Quality has become a key determinant of success in all aspects of modern industry, services as well as manufacturing. This paper reviews the contributions of statistical analysis and methods to modern quality control and improvement. The two main areas are statistical process control and industrial experimentation. The statistical approach is placed in the context of recent developments in quality management, with particular reference to the Total Quality movement.
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页码：203 / 214
页数：12
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