Industrial Design of Experiments
A Case Study Approach for Design and Process Optimization
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Beschreibung
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 contains a high-level engineering analysis of key issues in the design, development, and successful analysis of industrial DoE, focusing on the design aspect of the experiment and then on interpreting the results. Statistical analysis is shown without formula derivation, and readers are directed as to the meaning of each term in the statistical analysis. Industrial Design of Experiments: A Case Study Approach for Design and Process Optimization is designed for graduate-level DoE, engineering design, and general statistical courses, as well as professional education and certification classes. Practicing engineers and managers working in multidisciplinary product development will find it to be an invaluable reference that provides all the informationneeded to accomplish a successful DoE.
- Presents classical versus Taguchi DoE methodologies as well as techniques developed by the author for successful DoE;
- Offers a step-wise approach to DoE optimization and interpretation of results;
- Includes industrial case studies, worked examples and detailed solutions to problems.
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 contains a high-level engineering analysis of key issues in the design, development, and successful analysis of industrial DoE, focusing on the design aspect of the experiment and then on interpreting the results. Statistical analysis is shown without formula derivation, and readers are directed as to the meaning of each term in the statistical analysis. Industrial Design of Experiments: A Case Study Approach for Design and Process Optimization is designed for graduate-level DoE, engineering design, and general statistical courses, as well as professional education and certification classes. Practicing engineers and managers working in multidisciplinary product development will find it to be an invaluable reference that provides all the information needed to accomplish a successful DoE.
Presents classical versus Taguchi DoE methodologies as well as techniques developed by the author for successful DoE Offers a step-wise approach to DoE optimization and interpretation of results Includes industrial case studies, worked examples and detailed solutions to problems.
Autor*in
Sammy Shina
Themen in »Industrial Design of Experiments«
Analysis of Experiments DoE Quality Optimization Taguchi Method Saturated design Factorial design Multiple factor and level design Statistical analysis Variability reduction Multiple regression Variability analysis