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Introduction to Statistical Quality Control
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Introduction to Statistical Quality Control | Hardcover

by Douglas C. Montgomery (Author)

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Binding:  Hardcover
Publisher:  Wiley
Edition:  6th Edition
Page Count:  734 Pages
Publication Date:  May 02, 2008
Sales Rank:  69,319th

ACCESSORIES


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Introduction to Statistical Quality Control, Student Resource Manual

Introduction to Statistical Quality Control, Student Resource Manual
by Douglas C. Montgomery (Author)

This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and nonproduct situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation....



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 11 reviews)

Great Book by Elizabeth Reichert (Delaware) 5 Stars
September 15, 2009
The book was in excellent condition and it took no time at all to arrive.

Intro to statistical quality control 5th ed by Carlos Garcia (Horizon City, TX) 4 Stars
February 23, 2009
This is a good book to have if you're an engineer or someone that likes to observe and measure the behavior of things. It is very well explained and has a lot of examples that you can use to better understand the subject. On a bad note, it has a lot of typographical errors in some formulas that if you are learning them by the first time you may end up with the wrong result. If you can, buy the 6th edition; I haven't seen that many typos.

I love reading this book whenever I am bored. by O.Arivazhagan,B.E(Honors),PMP,CSSBB (Chennai, Tamil Nadu, India) 5 Stars
May 08, 2008
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.

excellently written as is true of all of Montgomery's books by Michael R. Chernick (Holland PA) 5 Stars
March 27, 2008
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.

Sacred Book on SQC by Harold L. Ramirez (Somewhere USA) 5 Stars
January 11, 2007
If you are looking to be well versed on the principle of Statistical Quality Control, then you need this book.

SIMILAR PRODUCTS


 Introduction to Statistical Quality Control, Student Resource Manual
by Douglas C. Montgomery (Author)

This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and nonproduct situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation.

Student Solutions Manual to accompany Introduction to Statistical Quality Control

Student Solutions Manual to accompany Introduction to Statistical Quality Control
by Douglas C. Montgomery (Author)

Now in its 6th edition, this bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. Douglas Montgomery arms readers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. He shows how to use statistically designed experiments to obtain information for characterization and optimization of systems, improve manufacturing processes, and...

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