1# Library to Find Best eBook for Read
Author : Stephen R. Schmidt
Release : 1994
Genre : Business & Economics
Kind : eBook
Book Rating : 032/5 ( reviews)
Book Synopsis Understanding Industrial Designed Experiments by : Stephen R. Schmidt
Download or read book Understanding Industrial Designed Experiments written by Stephen R. Schmidt. This book was released on 1994. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Stephen R. Schmidt
Release : 1992
Genre : Technology & Engineering
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Understanding Industrial Designed Experiments by : Stephen R. Schmidt
Download or read book Understanding Industrial Designed Experiments written by Stephen R. Schmidt. This book was released on 1992. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert G. Launsby
Release : 1992
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Understanding industrial designed experiments by : Robert G. Launsby
Download or read book Understanding industrial designed experiments written by Robert G. Launsby. This book was released on 1992. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jiju Antony
Release : 2023-06-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 741/5 ( reviews)
Book Synopsis Design of Experiments for Engineers and Scientists by : Jiju Antony
Download or read book Design of Experiments for Engineers and Scientists written by Jiju Antony. This book was released on 2023-06-02. Available in PDF, EPUB and Kindle. Book excerpt: 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. 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
Author : Peter Goos
Release : 2011-06-28
Genre : Science
Kind : eBook
Book Rating : 162/5 ( reviews)
Book Synopsis Optimal Design of Experiments by : Peter Goos
Download or read book Optimal Design of Experiments written by Peter Goos. This book was released on 2011-06-28. Available in PDF, EPUB and Kindle. Book excerpt: "This is an engaging and informative book on the modern practice of experimental design. The authors' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book." - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University "It's been said: 'Design for the experiment, don't experiment for the design.' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client's actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings." —Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following: How can I do screening inexpensively if I have dozens of factors to investigate? What can I do if I have day-to-day variability and I can only perform 3 runs a day? How can I do RSM cost effectively if I have categorical factors? How can I design and analyze experiments when there is a factor that can only be changed a few times over the study? How can I include both ingredients in a mixture and processing factors in the same study? How can I design an experiment if there are many factor combinations that are impossible to run? How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study? How can I take into account batch information in when designing experiments involving multiple batches? How can I add runs to a botched experiment to resolve ambiguities? While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.
