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 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.