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Introduction to Statistical Quality Control
The trusted guide to the statistical methods for quality control.
Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing productivity and gaining competitive advantage. Introduction to Statistical Quality Control, Sixth Edition gives you a sound understanding of the principles of statistical quality control (SQC) and how to apply them in a variety of situations for quality control and improvement.
With this text, you'll learn how to apply state-of-the-art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques.
You'll appreciate the significant updates in the Sixth Edition
* In-depth attention to DMAIC, the problem-solving strategy of Six Sigma. It will give you an excellent framework to use in conducting quality improvement projects.
* New examples that illustrate applications of statistical quality improvement techniques in non-manufacturing settings. Many examples and exercises are based on real data.
* New developments in the area of measurement systems analysis
* New features of Minitab V15 incorporated into the text
* Numerous new examples, exercises, problems, and techniques to enhance your absorption of the material
Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing productivity and gaining competitive advantage. Introduction to Statistical Quality Control, Sixth Edition gives you a sound understanding of the principles of statistical quality control (SQC) and how to apply them in a variety of situations for quality control and improvement.
With this text, you'll learn how to apply state-of-the-art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques.
You'll appreciate the significant updates in the Sixth Edition
* In-depth attention to DMAIC, the problem-solving strategy of Six Sigma. It will give you an excellent framework to use in conducting quality improvement projects.
* New examples that illustrate applications of statistical quality improvement techniques in non-manufacturing settings. Many examples and exercises are based on real data.
* New developments in the area of measurement systems analysis
* New features of Minitab V15 incorporated into the text
* Numerous new examples, exercises, problems, and techniques to enhance your absorption of the material
752 pages, Hardcover
First published May 28, 1985
28 people are currently reading
317 people want to read
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Displaying 1 - 8 of 8 reviews
October 29, 2012
Best QC book ever!
May 14, 2018
One of the few "studying" books that i actually completely read. Its language is easy enough for non-native speakers and mostly the author explains the topics very well.
June 22, 2007
Okay, first, (PS: when i really curious about the study of IE and how to keeping good control on any production system) i realize it's a goddess of statistical control book (if not mistaken, in Francaise, book is a female. am i right?). nice distribution introducing in foreword but a little bit confusing when i knew that my teacher did'nt use it as a reference book, and i got C for that. . How comee???
December 9, 2013
Definitely I recommend this book for beginners!
Read
December 9, 2013good
December 16, 2013
best way to beginers
Want to read
February 9, 2022it's about how to control the cuality base on statistics
Displaying 1 - 8 of 8 reviews