Title: Statistical Process Control, 5th Edition Author: John S Oakland ISBN: 0750657669 / 9780750657662 Format: Soft Cover Pages: 464 Publisher: Butterworth Heinemann Year: 2003 Availability: Out of Stock
Description
Feature
Contents
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