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Introduction to Statistical Process Control (Hardcover, New)
Loot Price: R3,274
Discovery Miles 32 740
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Introduction to Statistical Process Control (Hardcover, New)
Series: Chapman & Hall/CRC Texts in Statistical Science
Expected to ship within 12 - 17 working days
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A major tool for quality control and management, statistical
process control (SPC) monitors sequential processes, such as
production lines and Internet traffic, to ensure that they work
stably and satisfactorily. Along with covering traditional methods,
Introduction to Statistical Process Control describes many recent
SPC methods that improve upon the more established techniques. The
author-a leading researcher on SPC-shows how these methods can
handle new applications. After exploring the role of SPC and other
statistical methods in quality control and management, the book
covers basic statistical concepts and methods useful in SPC. It
then systematically describes traditional SPC charts, including the
Shewhart, CUSUM, and EWMA charts, as well as recent control charts
based on change-point detection and fundamental multivariate SPC
charts under the normality assumption. The text also introduces
novel univariate and multivariate control charts for cases when the
normality assumption is invalid and discusses control charts for
profile monitoring. All computations in the examples are solved
using R, with R functions and datasets available for download on
the author's website. Offering a systematic description of both
traditional and newer SPC methods, this book is ideal as a primary
textbook for a one-semester course in disciplines concerned with
process quality control, such as statistics, industrial and systems
engineering, and management sciences. It can also be used as a
supplemental textbook for courses on quality improvement and system
management. In addition, the book provides researchers with many
useful, recent research results on SPC and gives quality control
practitioners helpful guidelines on implementing up-to-date SPC
techniques.
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