Quality Management & Training


By: Geoff Vorley MSc MCQI and John Dedman MSc FCQI

Quality Management – Six Sigma book is intended to provide quality professionals and students with a clear and comprehensive understanding of Six Sigma methodology and its associated tools and techniques.  It delivers an exploration of the applicability and effectiveness of Six Sigma for all organisational types.  The book describes the benefits and rationale for Six Sigma, but it has taken into consideration that you would want to know about the nuts and bolts of Six Sigma.  It is a practical down to earth book that explains and describes exactly how to perform a Six Sigma programme, together with what tools and techniques to use and when

This book is part of the Quality Management series of books which includes:

Quality Management – Principles and Practice

Quality Management – Tools and Techniques

Quality Management – People in Quality

Quality Management – Management Systems Models

Quality Management – Monitoring & Measuring for Quality

Quality Management – Using Quality to Improve Business Performance

Quality Management – Quality Planning in the Product Lifecycle

Quality Management – Six Sigma

Quality Management – Six Sigma is broken down into three basic sections.

  • Six Sigma – A general introduction to Six Sigma
  • Six Sigma and DMAIC – The basic Six Sigma approach, the steps and how to complete them together with suitable examples and case studies
  • Six Sigma Tools and Techniques – All the tools and techniques associated with Six Sigma.  What they are, how and when to use them and some examples of their application


Geoff Vorley is CEO of Quality Management & Training Limited, associate lecturer in quality at Surrey University and is the author of many bestselling books on quality assurance. His knowledge of the subject extends over many years, providing consultancy and training in QA. He has been involved with industry for over 30 years, in the arena of quality management and continual improvement.

John Dedman has a Master of Science degree in Quality Management and Statistics; he is a Fellow of the Chartered Quality Institute (FCQI); a Chartered Quality Professional (CQP); a Senior Member of the American Society for Quality (MASQ); a Certified Quality Engineer (CQE); and a Certified Six Sigma Black Belt (CSSBB). For over 20 years John has been delivering training and consultancy services, and has assisted a large number of organisations ranging from SMEs to multi-national groups.


  • ISBN 1 904302 157
  • Pages: 546
  • Diagrams & Pictures: 126
  • Tables: 47

Contents List


Part A - Six Sigma

Introduction to Quality Management

Quality Definitions

Quality Improvement Initiatives and Six Sigma

Introduction to Six Sigma (6σ)

Part B - Six Sigma and DMAIC


  • Define
  • Measure
  • Analyse
  • Improve
  • Control

Part C - Six Sigma Tools and Techniques

Six Sigma Tools and Techniques look up table

Analysis of Variance (ANOVA)

Probability and Statistics

The Normal, Binomial and Poisson Distributions

The Normal Distribution

The Binomial Distribution

The Poisson Distribution


Benefit-Cost Analysis

Cause & Effect Diagrams

Cause and Effect (CE) Matrix

Check or Tally Sheets

Customer, Output, Process, Input, Supplier (COPIS)

Control Plan

Cost of Quality (Process Cost Model)

Process Quality Costs Model

Prevention, Appraisal and Failure Model (PAF Model)

Process Quality Costs Model

Data Collection

Design of Experiments and Taguchi Methods

Fault Tree Analysis (FTA)

Five Whys

Failure Mode Effects Analysis (FMEA)

Hypothesis Testing

Measurement System Analysis

Nominal Group Technique or Brainstorming

Pareto Analysis

Poka-Yoke or Error Proofing

Process Capability Studies

Process Mapping and Business Process Analysis

Flowcharting (including IDEF0)

Project Management & Planning

Quality Planning and Process Control Plans

Regression Analysis

Root Cause Analysis

Sampling and Stratification

Scatter diagrams

Selection Matrix

SMART Statement

Statistical Process Control Charts

Team Building

Value Analysis

Statistical Tables


Normal Distribution

Percentage Points of the t Distribution

Binomial Distribution – Cumulative Probabilities

Poisson Distribution – Cumulative Probabilities

Percentage Points of the F Distribution

Control Charts

Average and Range Charts Constants


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