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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
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
From the Back Cover
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
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
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Customer Reviews
Most Helpful Customer Reviews
13 of 13 people found the following review helpful
Format:Hardcover
A short while ago we were called upon by a major customer to present detailed test results of work carried out on their behalf.With large amounts of data to handle and analyse I rather quickly decided on a "statistical" approach to the problem.Fortunately,I came upon a reference to Montgomery's textbook and obtained a copy.It has rarely left my deskside since. Written so that anyone with A-level statistics can understand the theory underlying the SQC procedures described it is nevertheless as a superbly PRACTICAL guide to the subject that it really scores,giving clear and comprehensive reasons for the choice of particular statistical techniques as required.Where appropriate the plusses and minuses of these are detailed. The book concludes with two large sections on experimental design and sampling theory both of which further enhance the utility of this excellent book.
0 of 2 people found the following review helpful
Format:Paperback
havent gone through this book much yet but all good so far had tthe book delivered no issues thank you, was not yet let down on this website
Most Helpful Customer Reviews on Amazon.com (beta)
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21 reviews
54 of 56 people found the following review helpful
excellently written as is true of all of Montgomery's books
27 Mar 2008
Format:Hardcover
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.
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.
11 of 12 people found the following review helpful
A solid text on statistical quality control
27 Nov 2002
Format:Hardcover
The book gives an overview of the importance of quality management, the basics of statistics (variability, distributions, etc.), different methods of statistical process control, the use of control charts, capability analysis, design of experiments, process optimization, and sampling. I found all of the chapters informational and practical.
Montgomery does a great job of presenting the theory, giving examples, and helping the reader understand the big picture of various concepts. For example, Montgomery states that a "Pareto chart does not automatically identify the most important defects, but rather only those that occur most frequently," and then gives an example illustrating when this can be so. This is something that might have been overlooked if not pointed out to the reader.
While to book is rather current in introductory theory and practice, there are some relics from previous editions. For example, the inclusion of a random number table in the appendix is rather useless, since all modern calculators and spreadsheets have random number functions. This minor complaint aside, the book is solid and worth having.
17 of 20 people found the following review helpful
An all-in-one text.
20 Aug 1999
Format:Hardcover
This is a rather comprehensive book on SQC. It benefits from a good introductory treatment of Design of Experiments, a subject sorely missing from most SQC texts. The arrangement of topics in the book is logical from both pedagogical and practical points of view, and the author's stress on improvement -- rather than control -- is the right one for the readers.
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