Design of Experiments for Engineers and Scientists
- 3rd Edition - June 2, 2023
- Latest edition
- Author: Jiju Antony
- Language: English
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
Early spring sale
Nurture your knowledge
Grow your expertise with up to 25% off trusted resources.
Description
Description
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.
Key features
Key features
- 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
Readership
Readership
Table of contents
Table of contents
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
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
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
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
5 Screening Designs
5.1 Introduction
5.2 Geometric and Non-geometric P–B Designs
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
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
8 Some Useful and Practical Tips for Making Your Industrial Experiments Successful
8.1 Introduction
9 Case Studies
9.1 Introduction
9.2 Case Studies
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
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
12 Design of Experiments in the Service Industry: A Critical Literature Review and Future Research Directions
12.1 Introduction
12.2 Methodology
12.3 Key Findings
12.4 Critical Success Factors
12.5 Essential Skills Required for Service Quality Professionals
12.6 Key Lessons Learned From Designed Experiments
12.7 Discussion and Implications
12.8 Limitations and Directions for Further Research
13 Design of Experiments in the Service Industry: Results from a Global Survey and Directions for Further Research
13.1 Introduction
13.2 Research Methodology
13.3 Key Findings from the Survey
13.4 Discussion and Implications
13.5 Limitations and Directions for Future Research
Product details
Product details
- Edition: 3
- Latest edition
- Published: June 12, 2023
- Language: English
About the author
About the author
JA