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An Introduction to Acceptance Sampling and SPC with R (Paperback)
Loot Price: R1,746
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An Introduction to Acceptance Sampling and SPC with R (Paperback)
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An Introduction to Acceptance Sampling and SPC with R is an
introduction to statistical methods used in monitoring, controlling
and improving quality. Topics covered include acceptance sampling;
Shewhart control charts for Phase I studies; graphical and
statistical tools for discovering and eliminating the cause of
out-of-control-conditions; Cusum and EWMA control charts for Phase
II process monitoring; and the design and analysis of experiments
for process troubleshooting and discovering ways to improve process
output. Origins of statistical quality control and the technical
topics presented in the remainder of the book are those recommended
in the ANSI/ASQ/ISO guidelines and standards for industry. The
final chapter ties everything together by discussing modern
management philosophies that encourage the use of the technical
methods presented earlier. In the modern world sampling plans and
the statistical calculations used in statistical quality control
are done with the help of computers. As an open source high-level
programming language with flexible graphical output options, R runs
on Windows, Mac and Linux operating systems, and has add-on
packages that equal or exceed the capability of commercial software
for statistical methods used in quality control. In this book, we
will focus on several R packages. In addition to demonstrating how
to use R for acceptance sampling and control charts, this book will
concentrate on how the use of these specific tools can lead to
quality improvements both within a company and within their
supplier companies. This would be a suitable book for a
one-semester undergraduate course emphasizing statistical quality
control for engineering majors (such as manufacturing engineering
or industrial engineering), or a supplemental text for a graduate
engineering course that included quality control topics.
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