
Managing, Controlling, and Improving Quality
Wiley (Publisher)
Published on 29. April 2010
Book
Hardback
520 pages
978-0-471-69791-6 (ISBN)
Description
This book presents an organized approach to quality management, control, and improvement. Because quality problems usually are the outcome of uncontrolled or excessive variability, 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. This text focuses on both the management structure and the statistical and analytical tools. It organizes and presents this material according to many years of teaching, research, and professional practice across a wide range of business and industrial settings.
Reviews / Votes
"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
More details
Edition
1. Auflage
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Product notice
Unsewn / adhesive bound
Paper over boards
Illustrations
Drawings: 0 B&W, 0 Color
Dimensions
Height: 260 mm
Width: 214 mm
Thickness: 25 mm
Weight
1055 gr
ISBN-13
978-0-471-69791-6 (9780471697916)
Schweitzer Classification
Persons
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.
Author
Arizona State University
Bank of America, USA
Arizona State University
Content
Chapter 1 Introduction to Quality
Chapter 2 Management Aspects of Quality
Chapter 3 Tools and Techniques for Quality Control and Improvement
Chapter 4 Statistical Inference about Product and Process Quality
Chapter 5 Control Charts for variables
Chapter 6 Control Charts for Attributes
Chapter 7 Lot-by-Lot Acceptance Sampling Procedures
Chapter 8 Process Design and Improvement with Designed Experiments
Chapter 9 Reliability
References
Glossary
Appendix Tables
Answers to Selected Exercises
Index