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Managing, Controlling, and Improving Quality 1st Edition

3.9 3.9 out of 5 stars 42 ratings

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Managing, controlling and improving quality is a critical activity in modern business organizations. Quality is directly linked to productivity, competitiveness, customer satisfaction, business growth, elimination of waste and other non-value added activities, and overall business success. Cycle time and throughput is just as important in a hospital emergency room as it is in a semiconductor factory. Defects and errors don't occur just in factories, they occur in transactional and service business such as banks, insurance companies, and hospitals. Even your local and state governments have a keen interest in improving service quality in operations such as issuing drivers licenses and motor vehicle registration. The U.S. Navy has had an intensive quality improvement program for many years.

This book presents an organized approach to quality management, control, and improvement. Quality problems usually are the outcome of uncontrolled or excessive variability in product or service characteristics that are critical to the customer and statistical tools and other analytical methods play an important role in solving these problems. However, these techniques need to be implemented within a management structure that will ensure success. We focus on both the management structure and the statistical and analytical tools. Our approach to organizing and presenting this material is based on many years of teaching, research, and professional practice across a wide range of business and industrial settings.

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Editorial Reviews

Review

“Your book Managing, Controlling, and Improving Quality worked out very well in my senior-level class in the past fall semester. Actually students really liked the book. I planned to cover a little bit of acceptance sampling plans but I didn’t have sufficient time. I did cover Chapter 9 Reliability though. It was a great mix of managing aspects of quality, tools and techniques of quality control and design of experiments, plus a little bit of reliability. Students were happy and I was also happy. We will keep using this book which is ideal for my class.”
Dr. Byung Rae Choe, Indiana University of Pennsylvania

About the Author

DOUGLAS C. MONTGOMERY, PhD, is Regents Professor of Industrial Engineering and Statistics at Arizona State University. Dr. Montgomery is a Fellow of the American Statistical Association, the American Society for Quality, the Royal Statistical Society, and the Institute of Industrial Engineers and has more than thirty years of academic and consulting experience. He has devoted his research to engineering statistics, specifically the design and analysis of experiments, statistical methods for process monitoring and optimization, and the analysis of time-oriented data. Dr. Montgomery is the coauthor of Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition and Introduction to Time Series Analysis and Forecasting, both published by Wiley.

Product details

  • ASIN ‏ : ‎ 0471697915
  • Publisher ‏ : ‎ Wiley; 1st edition (April 12, 2010)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 528 pages
  • ISBN-10 ‏ : ‎ 9780471697916
  • ISBN-13 ‏ : ‎ 978-0471697916
  • Item Weight ‏ : ‎ 2.3 pounds
  • Dimensions ‏ : ‎ 8.2 x 1.1 x 10.1 inches
  • Customer Reviews:
    3.9 3.9 out of 5 stars 42 ratings

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3.9 out of 5 stars
42 global ratings

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Top reviews from the United States

  • Reviewed in the United States on December 6, 2013
    The book arrived on a Thursday when it was "expected" to arrive on the following Monday. Quick delivery! The book is in great condition (as stated new), no plastic or anything but definitely new condition. The only thing was that I had to sign for the book - and it would have been nice to know that ahead of time, but it doesn't matter as the book arrived days before it was supposed to. Overall no problems, great price and it only took 2 days to get here.
  • Reviewed in the United States on August 11, 2016
    Rented this book. Didn't even use it once.
    Great nonetheless.
  • Reviewed in the United States on March 16, 2024
    There are so many typos in this book, even the formulas have mistakes. Read carefully and think critically about if what you are reading makes sense
  • Reviewed in the United States on December 28, 2014
    It's okay. Had to buy for class, barely used, topics not really suited for a graduate student but I'm not going to argue with an easy curriculum.

    It's slightly dated material if you really, really look into the methodologies but otherwise works great as a 101 intro book.
  • Reviewed in the United States on May 17, 2015
    Just better than I have expected
  • Reviewed in the United States on August 9, 2014
    GOOD!!
  • Reviewed in the United States on March 29, 2013
    many useful details
    help me to understand lecture
    the exercise question can enhance my understanding
    but slight different from lecture`s note
  • Reviewed in the United States on March 16, 2011
    I am a college professor of Industrial Engineering and this book was used in my junior-level quality engineering course in the fall semester of 2010. It turned out that my students were very happy with the book. I think this is an exellent book. It presents an organized approach to quality management, control, and improvement. This book was written at an introductory level easily read by engineers, scienctists, and quality professionals. I believe that the material can also be selectively and profitably applied by instructors or practitioners with basic statistical experience. One of the authors, Douglas Montgomery, has a unique ability to explain complex issues in plain English and with persuative graphics. This book is visually appealing and the index is extensive, making it easy to find topics and to use the book as a textbook or a reference. To sum up, given the topics that are covered, the particular methods used to confront the problems presented, and the ease with which these methods may be implemented, this incomparable volume has important theoretical underpinnings and a depth of discussion that is seldom found in similar books. This book is destined to remain the definitive textbook for undergraduate students in business, engineering or management or a reference on quality management/engineering for many years to come. I do recommend this outstanding book over all others.
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Top reviews from other countries

  • S AAli
    5.0 out of 5 stars Good
    Reviewed in the United Arab Emirates on January 18, 2020
    Good