Introduction to Statistical Quality Control (7th Edition)
Genres: Science Engineering
Book Preface
This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of situations. Although statistical techniques are emphasized throughout, the book has a strong engineering and management orientation. Extensive knowledge of statistics is not a prerequisite for using this book. Readers whose background includes a basic course in statistical methods will find much of the material in this book easily accessible.
Audience
The book is an outgrowth of more than 40 years of teaching, research, and consulting in the application of statistical methods for industrial problems. It is designed as a textbook for students enrolled in colleges and universities who are studying engineering, statistics, management, and related fields and are taking a first course in statistical quality control. The basic quality-control course is often taught at the junior or senior level. All of the standard topics for this course are covered in detail. Some more advanced material is also available in the book, and this could be used with advanced undergraduates who have had some previous exposure to the basics or in a course aimed at graduate students. I have also used the text materials extensively in programs for professional practitioners, including quality and reliability engineers, manufacturing and development engineers, product designers, managers, procurement specialists, marketing personnel, technicians and laboratory analysts, inspectors, and operators. Many professionals have also used the material for self-study.
Contents
PART 1 INTRODUCTION
1 Quality Improvement In The Modern Business Environment
2 The Dmaic Process
PART 2 STATISTICAL METHODS USEFUL IN QUALITY CONTROL AND IMPROVEMENT
3 Modeling Process Quality
4 Inferences About Process Quality
PART 3 BASIC METHODS OF STATISTICAL PROCESS CONTROL AND CAPABILITY ANALYSIS
5 Methods And Philosophy Of Statistical Process Control
6 Control Charts For Variables
7 Control Charts For Attributes
8 Process And Measurement System Capability Analysis
 PART 4 OTHER STATISTICAL PROCESSMONITORING AND CONTROL TECHNIQUES
9 Cumulative Sum And Exponentially Weighted Moving Average Control Charts
10 Other Univariate Statistical Process-Monitoring And Control Techniques
11 Multivariate Process Monitoring And Control
12 Engineering Process Control And Spc
 PART 5 PROCESS DESIGN AND IMPROVEMENT WITH DESIGNED EXPERIMENTS
13 Factorial And Fractional Factorial Experiments Forprocess Design And Improvement
14 Process Optimization With Designed Experiments
PART 6 ACCEPTANCE SAMPLING
15 Lot-By-Lot Acceptance Sampling For Attributes
16 Other Acceptance-Sampling Techniques
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