On route to perfection : a guide to achieving six sigma / Graham Wilson.

Chapter 1. A Case History of Six Sigma
Introduction 3
On-going Discussions 4
Clarifying the Goals 5
Critical Success Factors and Self-Assessment 6
Cascading the Aims and Developing Skills 7
Supporting Teams 9
Counselling Members 11
On-going Review 12
Targeted Marketing 13
Chapter 2. What is Six Sigma?
Variation 15
Variables 18
Continuous Variables 19
Attributes 19
Distributions 20
Dispersion 23
Central Limit Theorem and the Normal Distribution 27
Six Sigma 28
Probability 28
Chapter 3. The Culture of Improvement
The Culture of Improvement 31
Key Concepts 32
The Changing Role of the Manager 35
Designing a Ouality Organisation 41
Successful Change in Organisations 43
On-going Discussions 44
Clarifying the Goals 45
Critical Success Factors 46
Self-Assessment 46
Cascade of Aims 47
Develop Skills 48
Supporting Teams 49
Counselling Members 50
On-going Review 50
Targeted Marketing 50
Chapter 4. The Product Development Cycle
Product Development versus New Product Development 53
Product Design 55
Process Design 55
What Happens When Things Go Wrong? 57
Hearing the Voice of the Customer 59
The Product Development Cycle 63
System Design 64
Parameter Design 66
On the Road to Total Quality 69
Tolerance Design 69
Chapter 5. Quality Function Deployment
Why is QFD Necessary? 71
Why Listen Anyway? 72
We Already Listen 73
The Problems of Poor Communication 74
Whose Problem is it Anyway? 76
What are We Trying to Get Right? 79
The Organisational Learning Curve 82
What is QFD? 83
QFD Applied 102
Chapter 6. Taguchi's Techniques
Introduction 107
The Case of the Young Scientist 108
Traditional Experiments vs Taguchi's Techniques 111
Points to Consider when Designing an Experiment 113
Orthogonal Designs 115
Analysis of Variance ANOVA 118
Interactions Between Factors 128
Analysing Orthogonal Arrays 133
Analysing Orthogonal Arrays with Repetitions 140
Analysing Orthogonal Arrays Without Error Terms 146
Orthogonal Arrays with No Primary Error Term 148
Analysing Orthogonal Arrays with Unequal Sample Sizes 152
Non-Linear Factors and Three Level Designs 153
Multiple Characteristics and Mixed Level Designs 157
Evolutionary Operations EVOP 160
Accumulation Analysis 163
Accumulation Analysis with Only One Repetition 164
Accumulation Analysis with More than One Repetition 174
Sum of Squares for Individual Factors 176
Sum of Squares for Error Terms 177
Signal-to-Noise 180
Signal-to-Noise Analysis far Repetitions 182
Signal-to-Noise Analysis with Many Noise Factors 190
Confidence Limits 191
Chapter 7. Statistical Process Control
What is Statistical Process Control? 197
What is Different Now? 201
Is It Right to Control? 201
Product Control 202
Process Control 203
Are We Capable ot Doing This? 204
Are We Doing This Right? 211
Have We Done This Right? 215
Partnership Sourcing 218
The Process ot Continuous Improvement 223
Attribute Charts 224
Variables Charts 233
Using Control Charts tor On-going Process Control 238
Chapter 8. Beyond Six Sigma
Is Six Sigma Worth Pursuing? 241
Is Six Sigma Achievable? 242
Beyond Six Sigma 243
Conclusion 244
Appendices
Usetul Tables 247
Templates tor Copying 251