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Author:Stuart, M.
Mullins, E.
Drew, E.
Title:Statistical quality control and improvement
Journal:European Journal of Operational Research
1996 : JAN 20, VOL. 88:2, p. 203-214
Index terms:OPERATIONAL RESEARCH
STATISTICAL METHODS
QUALITY CONTROL
Language:eng
Abstract: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.
SCIMA record nr: 147080
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