Design of Experiments for Engineers and Scientists

3rd Edition - June 2, 2023
Author: Jiju Antony
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 1 5 1 7 3 - 6
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 1 5 1 7 4 - 3

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… Read more

Purchase options

Limited Offer

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code needed.

Institutional subscription on ScienceDirect

Request a sales quote

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.

Cover image
Title page
Table of Contents
Copyright
Dedication
About the author
Preface
Acknowledgements
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

Purchase options

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code needed.

Institutional subscription on ScienceDirect

Jiju Antony