Design of Experiments for Engineers and Scientists 3rd Edition by Jiju Antony ISBN 9780443151736 0443151733

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ISBN 10: 0443151733
ISBN 13: 9780443151736
Author: Jiju Antony

This third edition of Design of Experiments for Engineers and Scientists adds to the tried and trusted tools that were successful in so many engineering organizations with new coverage of design of experiments (DoE) in the service sector. Case studies are updated throughout, and new ones are added on dentistry, higher education, and utilities. Although many books have been written on DoE for statisticians, this book overcomes the challenges a wider audience faces in using statistics by using easy-to-read graphical tools. Readers will find the concepts in this book both familiar and easy to understand, and users will soon be able to apply them in their work or research.

This classic book is essential reading for engineers and scientists from all disciplines tackling all kinds of product and process quality problems and will be an ideal resource for students of this topic.

• Written in nonstatistical language, the book is an essential and accessible text for scientists and engineers who want to learn how to use DoE
• Explains why teaching DoE techniques in the improvement phase of Six Sigma is an important part of problem-solving methodology
• New edition includes two new chapters on DoE for services as well as case studies illustrating its wider application in the service industry

Design of Experiments for Engineers and Scientists 3rd Edition Table of contents:

1. Introduction to industrial experimentation

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

5.1 Introduction

5.2 Geometric and non-geometric P–B designs

Exercises

References

6. Full factorial designs

Abstract

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

Abstract

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

Further reading

8. Some useful and practical tips for making your industrial experiments successful

Abstract

8.1 Introduction

Exercises

References

9. Case studies

Abstract

9.1 Introduction

9.2 Case studies

9.3 Discussion and limitations of the study

References

Further reading

10. Design of experiments and its applications in the service industry

Abstract

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

Abstract

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

12. Design of Experiments in the service industry: a critical literature review and future research directions

Abstract

12.1 Introduction

12.2 Methodology

12.3 Key findings

12.4 Discussion and implications

12.5 Limitations and future directions of research

References

13. Design of Experiments in the service industry: results from a global survey and directions for further research

Abstract

13.1 Introduction

Appendix A Statements related to the challenges in applying Design of Experiments (DoE) in the service industry

References

Index

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Tags: Jiju Antony, Design, Experiments, Engineers, Scientists