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| View Larger Image | Introduction to Statistical Quality Control
by Douglas C. Montgomery
| | Price: | $125.40 |  | | Available: | Usually ships in 24 hours | | | | | Sales Rank: | 359141 | | Studio: | Wiley | | | Binding: | Hardcover | | Number Of Pages: | 734 | | Publication Date: | May 02, 2008 | | Publisher: | Wiley |
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EDITORIAL REVIEWS |
Product Description
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 including:
* 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 |
CUSTOMER REVIEWS (Average Customer Rating: 4.5 based on 9 reviews)
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I love reading this book whenever I am bored. 
I started browsing the book, as is my habit whenever I buy a new book, with the idea of doing an in-depth reading later. But, the subject matter is so vividly covered, I could not. Here is a book I could not keep back until I completed the first 4 chapters in my first reading itself.
It all started with the modern definition of quality as stated in the book "Quality is inversely proportional to variability". This definition, later led me to explore more into six sigma concepts to reduce variation before getting to ISO registration by any company. Nothing can be truer than the fact or statement in the book on ISO registration that "many quality engineering authorities feel that ISO registration is largely a waste of effort". I am one among them.
This kind of striking information, style of presentation, and the font type are so good that they tempt you to explore more into the book.
I enjoyed the 2-page info on legal aspects of quality, notes on Average Run Length (ARL) and was amazed by the fact that even an in-control process will go out-of-control automatically after 370 samples /observations due to the fact that 3sigma control limits
comprise only 99.73% good items.
Another area I liked most is the Hypothesis testing of assumptions or conditions in quality improvement situation.
Not many books explain so well the Confidence Intervals (CI) and Hypothesis testing.
When I read further into this Montgomery's work on "Introduction to Statistical Quality Control", I was doubly happy to have at last a solid book on SQC.
It so happened that when I started underlining some important points (that is the respect I give to good books), I had to underline almost all of the pages in his book (Not overdoing).I am sure, so will you do.
I plan to add more interesting areas, in stages, from this book that I liked best as I re-read and as an honor to such a great Author.
May 08, 2008 | |
excellently written as is true of all of Montgomery's books
Doug Montgomery is an excellent instructor and author. I have taken short courses from him. He teaches statistics in the Engineering School at Arizona State. He is known for his books on engineering statistics and has written some excellent texts on design of experiments, response surface methodology, linear regression and quality control. He is well acquainted with the Deming philosophy for quality , Taguchi designs and the six sigma concept. This book on statistical quality control introduces control chart methods and all the other tools of statistical quality control with the expertise that few have.
The book is very accessible to statisticians engineers and others with good mathematical backgrounds but not necessarily strong trtaining in statistics. A virtue of Montgomery in all the books he has authored or coauthored is the clarity of presentation and the ability to reach a wide audience of non-statisticians.
March 27, 2008 | |
Sacred Book on SQC
If you are looking to be well versed on the principle of Statistical Quality Control, then you need this book.
January 11, 2007 | |
Great SPC book
Used this book in a graduate level course on SPC. The book and the excercises were interesting and highly informative, as are all of Dr. Montgomery's numerous texts. Most concepts are backed up with liberal examples to help understand the theory and cement the concept and their practical applications, and run the whole gamut from management to electrical engineering problems. Many of the tables in the back of the book, such as the random number table, are outdated due to computers, however these may have been dropped in the new version of the text.
August 13, 2004 | |
good book worst service
the book is very good ..no doubt but the service is aweful. 1. on the website they show it is a hardcover book and so i ordered for it but got a soft cover book ...now i have to worry about return or refunds etc... 2. had to wait for 3 weeks to get the book. 3. print quality aweful ...the original book has good color print...the one i received for the same price has a black and white print with very thin see-through pages... my advice would be to avoid abebooks.com through amazon if possible because the same book is listed for $ 33 on their own website and here they sell it for $ 41 ...so waste ur money if u want.
June 29, 2004 | |
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