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Statistical Quality Assurance Methods for Engineers | 
 enlarge | Authors: Stephen B. Vardeman, J. Marcus Jobe
Publisher: Wiley
Category: Book
Buy New: $55.00
New (14) Used (10) from $55.00
Rating:  2 reviews
Sales Rank: 1173019
Media: Hardcover
Pages: 576
Number Of Items: 1
Shipping Weight (lbs): 2.1
Dimensions (in): 9.3 x 7.4 x 1
ISBN: 0471159379
Dewey Decimal Number: 658.562
EAN: 9780471159377
Publication Date: September 7, 1998
Availability: Usually ships in 1-2 business days
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Product Description
The Tools You Need To Be A Successful Engineer As you read through this new text, you'll discover the importance of Statistical Quality Control (SQC) tools in engineering process monitoring and improvement. You'll learn what SQC methods can and cannot do, and why these are valuable additions to your engineering tool kit. And instead of overwhelming you with unnecessary details, the authors make the implementation of statistical tools "user-friendly." The rich set of examples and problems integrated throughout this book will help you gain a better understanding of where and how to apply SQC tools. Real projects, cases and data sets show you clearly how SQC tools are used in practice. Topics are covered in the right amount of detail to give you insight into their relative importance in modern quality assurance and the ability to immediately use them. This approach provides the mix of tools you'll need to succeed in your engineering career. Key Features of the Text
* Provides a coherent presentation of the role of statistics in quality assurance.
* Places special attention on making sure that while the technical details are absolutely correct, they do not overwhelm the reader.
* Presents the material in realistic contexts, with examples and problems that are based on real-world projects, cases and data sets.
* The implementation of statistical tools is user-friendly.
* The statistical treatment emphasizes graphics and estimation (and de-emphasizes hypothesis testing).
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| Customer Reviews:
 great book on quality control from a statisticians viewpoint December 13, 2000
Michael R. Chernick (Malvern, PA)
10 out of 10 found this review helpful
In my work with engineers at Biosense Webster I am often confronted with issues related to the design and/or analysis of an R&R Gauge study, the construction of tolerance intervals or the estimate of a process capability parameter. I often refer to or refer them to Vardeman's book to handle these problems. Many engineers are taught to do gauge R&R studies but they just know how to turn the crank. They don't have an understanding of the analysis of variance that gives meaning to the analysis and motivates the design. Too often sample estimates are treated as though they are the actual parameters. Vardeman and Jobe write for the engineers but with a statistician's perspective and understanding. They cover control charts, process capability, experimental design, inspection sampling and TQM. They provide simple formulas and tables to give the engineer the tools he needs to handle most common quality control problems. More importantly though, they also provide excellent development and discussion so that there can be depth of understanding of the key concepts. This book is not only good for engineers but also is a good reference book for statisticians. It can easily be used for a first course in quality control. Another good book along these lines is Ryan's "Statistical Methods for Quality Improvement". Certainly, Juran's "Quality Handbook" is a great reference also.
 excellent text on QA February 9, 2008
Michael R. Chernick (Holland PA)
25 out of 25 found this review helpful
In my work with engineers at Biosense Webster I am often confronted with issues related to the design and/or analysis of an R&R Gauge study, the construction of tolerance intervals or the estimate of a process capability parameter. I often refer to or refer them to Vardeman's book to handle these problems. Many engineers are taught to do gauge R&R studies but they just know how to turn the crank. They don't have an understanding of the analysis of variance that gives meaning to the analysis and motivates the design. Too often sample estimates are treated as though they are the actual parameters. Vardeman and Jobe write for the engineers but with a statistician's perspective and understanding. They cover control charts, process capability, experimental design, inspection sampling and TQM. They provide simple formulas and tables to give the engineer the tools he needs to handle most common quality control problems. More importantly though, they also provide excellent development and discussion so that there can be depth of understanding of the key concepts. This book is not only good for engineers but also is a good reference book for statisticians. It can easily be used for a first course in quality control. Another good book along these lines is Ryan's "Statistical Methods for Quality Improvement". Certainly, Juran's "Quality Handbook" is a great reference also.
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