Based on Dr. W. Edwards Deming's philosophy for the improvement of quality, productivity, and competitive position, this book is perfect for production, management science, statistics, and industrial engineering professionals. The book features enumerative and analytical statistical studies, showing the difference between fixed populations and processes; methods for improving a stable process with a known capability; techniques for analyzing and interpreting control chart patterns; and modern inspection policies, specifically Deming's kp rules, instead of traditional sampling plans. It also includes quality improvement stories, examples, and mini-case studies that convert complex topics into easy-to-understand material.
Preface
Part I : Foundations of Quality
Chapter 1 : Fundamentals of Quality
Chapter 2 : Fundamentals of Statistical Studies
Chapter 3 : Documenting and Defining a Process
Part II : Foundations for Analytic Studies
Chapter 4 : Basic Probability
Chapter 5 : Basic Statistics
Chapter 6 : Probability Models
Chapter 7 : Sampling Distributions
Part III : Tools and Methods for Analytic Studies
Chapter 8 : Stabilzing and Improving a Process with Control Charts
Chapter 9 : Attribute Control Charts
Chapter 10 : Variables Control Charts
Chapter 11 : Out-of-Control Patterns
Chapter 12 : Diagnosing a Process
Part IV : Process Performance in Analytic Studies
Chapter 13 : Specifications
Chapter 14 : Process Capability and Improvement Studies
Chapter 15 : Taguchi Methods-Quality Improvement in Product and Process Design
Part VI : Inspection Policy
Chapter 16 : Inspection Policy
Part VII : Foundations of Quality Revisited
Chapter 17 : Deming's 14 Points and the Reduction of Variation
Chapter 18 : Some Current Thinking about Statistical Studies and Practice
Statistical Tables
References
Index
