Statistical Process Control, 5th Edition

A highly successful title from one of the UK's leading exponents of TQM. The book features user-friendly presentation and reflects the latest thinking in the field. It will serve as a textbook for self or group instruction for both student and practicing engineers, scientists, technologists and managers and will prove invaluable to all.

Statistical process control is a tool, which enables both manufacturers and suppliers to achieve control of product quality by means of the application of statistical methods in the controlling process. This book gives the foundations of good quality management and process control, including an explanation of what quality is, and control of conformance and consistency during production. The text offers clear guidance and help to those unfamiliar with either quality control or statistical applications and coves all the necessary theory and techniques in a practical and non-mathematical manner. This book will be essential reading for anyone wishing to understand or implement modern statistical process control techniques.

• New edition is fully updated and includes a new chapter on Six Sigma
• Well-known, authoritative author who introduced statistical process control to thousands of organizations throughout the world
• Written in a practical way that minimizes the use of formulas and assumes no prior knowledge of statistics

Preface

Part 1 : Process Understanding
Chapter 1 : Quality, Processes and Control
Chapter 2 : Understanding the Process
Chapter 3 : Process Data Collection and Presentation

Part 2 : Process Variability
Chapter 4 : Variation and Its Management
Chapter 5 : Variables and Process Variation

Part 3 : Process Control
Chapter 6 : Process Control Using Variables
Chapter 7 : Other Types of Control Charts for Variables
Chapter 8 : Process Control by Attributes
Chapter 9 : Cumulative Sum (Cusum) Charts

Part 4 : Process Capability
Chapter 10 : Process Capability for Variables and Its Measurement

Part 5 : Process Improvement
Chapter 11 : Process Problem Solving and Improvement
Chapter 12 : Managing Out-of-Control Processes
Chapter 13 : Designing the Statistical Process Control System
Chapter 14 : Six-Sigma Process Quality
Chapter 15 : The Implementation of Statistical Process Control

Appendices
A : The Normal Distribution and Non-Normality
B : Constants Used in the Design of Control Charts for Mean
C : Constants Used in the Design of Control Charts for Range
D : Constants Used in the Design of Control Charts for Median and Range
E : Constants Used in the Design of Control Charts for Standard Deviation
F : Cumulative Poisson Probability Tables
G : Confidence Limits and Tests of Significance
H : OC Curves and ARL Curves for X and R Charts
I : Autocorrelation
J : Approximations to Assist in Process Control of Attributes
K : Glossary of Terms and Symbols
Index