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.
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Sammy G. Shina, Ph.D., P.E., is a Professor of Mechanical Engineering (ME) at the University of Massachusetts Lowell. His research interests and teaching include six sigma, design of experiments, statistical quality control, product design and manufacturing, engineering project management, and green electronics. He is the founder of the New England Lead Free Electronics Consortium, which researches, tests, and evaluates materials and processes for lead- free RoHS compliance and conversion to nanotechnology. The consortium received the EPA regional Merit award. Dr. Shina has worked and consulted for a number of technology companies developing new products and state-of-the-art manufacturing technologies.He received BS degrees in Electrical Engineering and Industrial Management from the Massachusetts Institute of Technology, an MS in Computer Science from Worcester Polytechnic Institute, and a PhD in Mechanical Engineering from Tufts University. He is the author of several books and more than 120 papers on concurrent engineering, six sigma, green design, and engineering project management.
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Hardcover. Etat : new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783030862664
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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-levelengineering 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 ofExperiments: A Case Study Approach for Design and Process Optimizationis 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. 400 pp. Englisch. N° de réf. du vendeur 9783030862664
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Hardcover. Etat : new. Hardcover. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9783030862664
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 400 pp. Englisch. N° de réf. du vendeur 9783030862664
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