Read more
Informationen zum Autor 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. Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis Chapter 1. Introduction to Quality. 1.1 The Meaning of Quality and Quality Improvement. 1.2 A Brief History of Quality Control and Improvement. 1.3 Statistical Methods for Quality Control and Improvement. 1.4 Quality and Productivity. 1.5 Quality Costs. 1.6 Legal Aspects of quality. 1.7 Implementing Quality Improvement. Chapter 2. Management Aspects of Quality. 2.1 Introduction. 2.2 Quality Philosophy and Management Strategies. 2.3 The DMAIC Process. Chapter 3. Tools and Techniques for Quality Control and Improvement. 3.1 Introduction. 3.2 Chance and Assignable Causes of Quality Variation. 3.3 The Control Chart. 3.4 The Rest of the Magnificent Seven. 3.5 Implementing SPC in a Quality Improvement Program. 3.6 An Application of SPC. 3.7 Applications of Quality Process and Quality Improvement Tools in Transactional and Service Businesses. Chapter 4. Statistical Inference about Product and Process Quality. 4.1 Describing Variation. 4.2 Probability Distributions. 4.3 The Normal Distribution. 4.4 Statistical Inference. 4.5 Statistical Inference for a Single Sample. 4.6 Statistical Inference for Two Chapter 5. Control Charts for Variables. 5.1 Introduction. 5.2 and R x Charts. 5.3 and S Charts. 5.4 Shewart Control Chart for Individual Measurements. 5.5 Summary of Procedures for , R , S , and Individuals Charts. 5.6 Example Applications of , R , S , and Individuals Charts. 5.7 Cumulative Sum Control Charts. 5.8 Exponentially Weighted Moving Average Control Charts. 5.9 Process Capability Analysis Using Control Charts. Chapter 6. Control Charts for Attributes. 6.1 Introduction. 6.2 The Control Chart for Fraction Nonconforming. 6.3 Control Charts for Nonconformities (Defects). 6.4 Choice between Attributes and Variables Control Charts. 6.5 Guidelines for Implementing Control Charts....
List of contents
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
