Industrial Design of Experiments: A Case Study Approach for Design and Process Optimization

This textbook provides the tools, techniques, and industry examples needed for the successful implementation of design of experiments (DoE) in engineering and manufacturing applications. It focuses on the design aspect of the experiment and statistical analysis, making it an invaluable reference for practicing engineers and managers.

Format: Paperback / softback
Length: 368 pages
Publication date: 05 January 2023
Publisher: Springer Nature Switzerland AG

This comprehensive textbook serves as a vital resource for the successful implementation of design of experiments (DoE) in engineering and manufacturing applications. It offers a comprehensive engineering analysis of key issues in the design, development, and successful analysis of industrial DoE, with a particular focus on the design aspect of the experiment and its subsequent interpretation of results. The book employs a case study approach, making it particularly suitable for graduate-level DoE, engineering design, and general statistical courses, as well as professional education and certification classes. Practicing engineers and managers involved in multidisciplinary product development will find this reference invaluable, as it encompasses all the necessary information and techniques to execute a successful DoE.

The textbook begins by introducing the fundamental principles and concepts of DoE, including the definition, objectives, and advantages of using this methodology. It then delves into the various stages of DoE, such as defining the problem, designing the experiment, conducting the experiment, and analyzing the results. Throughout the book, real-world examples and case studies from various industries are used to illustrate the practical applications of DoE.

One of the key strengths of the textbook is its comprehensive coverage of statistical analysis in DoE. It explains statistical concepts without the use of complex formulas, ensuring that readers can understand and apply the techniques effectively. The book provides detailed explanations of statistical terms and concepts, such as probability distributions, hypothesis testing, and ANOVA, and demonstrates how they can be used to analyze and interpret DoE results.

Furthermore, the textbook emphasizes the importance of interpreting DoE results correctly and making informed decisions based on the findings. It guides results in the use of graphical representations, such as scatter plots, box plots, and response surface plots, to visualize the data and identify patterns and relationships. This visual analysis helps in identifying the factors that influence the response variable and optimizing the design of the experiment to achieve the desired results.

Another notable feature of the textbook is its emphasis on the practical aspects of DoE. It provides step-by-step instructions and examples for implementing DoE in various engineering and manufacturing applications, including process optimization, product development, and quality control. The book covers topics such as experimental design, sample size determination, factorial designs, and randomized block designs, and discusses the advantages and limitations of each design.

In conclusion, Industrial Design of Experiments: A Case Study Approach for Design and Process Optimization is an essential resource for anyone seeking to implement DoE effectively in engineering and manufacturing applications. Its comprehensive coverage of statistical analysis, practical implementation guidelines, and real-world examples make it an invaluable reference for graduate-level students, practicing engineers, and managers involved in multidisciplinary product development. By providing a solid foundation in DoE principles and techniques, this textbook empowers readers to make data-driven decisions and optimize their processes for improved efficiency and effectiveness.

Weight: 611g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030862695
Edition number: 1st ed. 2022