Design of Experiments for Engineers and Scientists,

Preface

Acknowledgements

1. Introduction to Industrial Experimentation

1.1 Introduction

1.2 Some Fundamental and Practical Issues in Industrial Experimentation

1.3 Statistical Thinking and its Role Within DOE

Exercises

References

2. Fundamentals of Design of Experiments

2.1 Introduction

2.2 Basic Principles of DOE

2.3 Degrees of Freedom

2.4 Confounding

2.5 Selection of Quality Characteristics for Industrial Experiments

Exercises

References

3. Understanding Key Interactions in Processes

3.1 Introduction

3.2 Alternative Method for Calculating the Two-Order Interaction Effect

3.3 Synergistic Interaction Versus Antagonistic Interaction

3.4 Scenario 1

3.5 Scenario 2

3.6 Scenario 3

Exercises

References

4. A Systematic Methodology for Design of Experiments

4.1 Introduction

4.2 Barriers in the Successful Application of DOE

4.3 A Practical Methodology for DOE

4.4 Analytical Tools of DOE

4.5 Model Building for Predicting Response Function

4.6 Confidence Interval for the Mean Response

4.7 Statistical, Technical and Sociological Dimensions of DOE

Exercises

References

5. Screening Designs

5.1 Introduction

5.2 Geometric and Non-geometric P–B Designs

Exercises

References

6. Full Factorial Designs

6.1 Introduction

6.2 Example of a 2² Full Factorial Design

6.3 Example of a 2³ Full Factorial Design

6.4 Example of a 2⁴ Full Factorial Design

Exercises

References

7. Fractional Factorial Designs

7.1 Introduction

7.2 Construction of Half-Fractional Factorial Designs

7.3 Example of a 2⁽⁷⁻⁴⁾ Factorial Design

7.4 An Application of 2-Level Fractional Factorial Design

Exercises

References

8. Some Useful and Practical Tips for Making Your Industrial Experiments Successful

8.1 Introduction

Exercises

References

9. Case Studies

9.1 Introduction

9.2 Case Studies

References

10. Design of Experiments and its Applications in the Service Industry

10.1 Introduction to the Service Industry

10.2 Fundamental Differences Between the Manufacturing and Service Organisations

10.3 DOE in the Service Industry: Fundamental Challenges

10.4 Benefits of DOE in Service/Non-Manufacturing Industry

10.5 DOE: Case Examples from the Service Industry

10.6 Role of Computer Simulation Models Within DOE

Exercises

References

11. Design of Experiments and its Role Within Six Sigma

11.1 What is Six Sigma?

11.2 How Six Sigma is Different from Other Quality Improvement Initiatives of the Past

11.3 Who Makes Six Sigma Work?

11.4 Six Sigma Methodology (DMAIC Methodology)

11.5 DOE and Its Role Within Six Sigma

Exercises

References