Design of Experiments for Engineers and Scientists by Antony, Jiju -- Read -- Imperial Library of Trantor

Index

Cover image Title page Table of Contents Copyright 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