Introduction to Statistical Quality Control
Author: Douglas C. Montgomery
List Price: $105.95
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ISBN: 0471303534
Publisher: John Wiley & Sons (August, 1996)
Sales Rank: 81,692
Average Customer Rating: 4.25 out of 5
Customer Reviews
Rating: 5 out of 5
Everything You Ever Wanted to Know about SPC
As the developer of the QI Macros SPC Software for Excel, customers often call with exotic questions about statistical methods for quality control. Montgomery's book, more often than not, is the one I turn to for answers that I can't seem to find anywhere else. Even if I do find the answer in another book, it's always easier to understand in Montgomery's. The book is written in a way that makes seemingly incomprehensible statistics understandable. And there are plenty of examples.
If you're looking for a book to help you implement quality control in a small business, Montgomery's book is a bit too much, so you might consider my book on the Small Business Guerrilla Guide to Six Sigma or Six Sigma Simplified.
Rating: 4 out of 5
A solid text on statistical quality control
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.
Rating: 4 out of 5
An all-in-one text.
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. Similar Products
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