Applied Factorial and Fractional Designs
Author : Robert A. McLean
Publisher :
Page : 400 pages
File Size : 24,96 MB
Release : 1984
Category : Mathematics
ISBN :
Author : Robert A. McLean
Publisher :
Page : 400 pages
File Size : 24,96 MB
Release : 1984
Category : Mathematics
ISBN :
Author : United States. National Bureau of Standards. Statistical Engineering Laboratory
Publisher :
Page : 96 pages
File Size : 32,18 MB
Release : 1957
Category : Experimental design
ISBN :
Author : William Stokes Connor
Publisher :
Page : 52 pages
File Size : 44,28 MB
Release : 1959
Category : Experimental design
ISBN :
Author : Jiju Antony
Publisher : Elsevier
Page : 296 pages
File Size : 23,80 MB
Release : 2023-06-02
Category : Technology & Engineering
ISBN : 0443151741
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 : William Stokes Connor
Publisher :
Page : 80 pages
File Size : 40,23 MB
Release : 1961
Category : Experimental design
ISBN :
Author : Rahul Mukerjee
Publisher : Springer Science & Business Media
Page : 231 pages
File Size : 32,69 MB
Release : 2007-01-15
Category : Mathematics
ISBN : 0387373446
The last twenty years have witnessed a significant growth of interest in optimal factorial designs, under possible model uncertainty, via the minimum aberration and related criteria. This book gives, for the first time in book form, a comprehensive and up-to-date account of this modern theory. Many major classes of designs are covered in the book. While maintaining a high level of mathematical rigor, it also provides extensive design tables for research and practical purposes. Apart from being useful to researchers and practitioners, the book can form the core of a graduate level course in experimental design.
Author : William Stokes Connor
Publisher :
Page : 37 pages
File Size : 30,65 MB
Release : 1959
Category : Experimental design
ISBN :
Author : Yong Guo
Publisher :
Page : pages
File Size : 33,40 MB
Release : 2006
Category : Experimental design
ISBN :
Author : United States. National Bureau of Standards Statistical Engineering Laboratory
Publisher :
Page : 0 pages
File Size : 25,98 MB
Release : 1956
Category :
ISBN :
Author : K. KRISHNAIAH
Publisher : PHI Learning Pvt. Ltd.
Page : 371 pages
File Size : 39,73 MB
Release : 2012-01-18
Category : Business & Economics
ISBN : 8120345274
Design of experiments (DOE) is an off-line quality assurance technique used to achieve best performance of products and processes. This book covers the basic ideas, terminology, and the application of techniques necessary to conduct a study using DOE. The text is divided into two parts—Part I (Design of Experiments) and Part II (Taguchi Methods). Part I (Chapters 1–8) begins with a discussion on basics of statistics and fundamentals of experimental designs, and then, it moves on to describe randomized design, Latin square design, Graeco-Latin square design. In addition, it also deals with statistical model for a two-factor and three-factor experiments and analyses 2k factorial, 2k-m fractional factorial design and methodology of surface design. Part II (Chapters 9–16) discusses Taguchi quality loss function, orthogonal design, objective functions in robust design. Besides, the book explains the application of orthogonal arrays, data analysis using response graph method/analysis of variance, methods for multi-level factor designs, factor analysis and genetic algorithm. This book is intended as a text for the undergraduate students of Industrial Engineering and postgraduate students of Mechtronics Engineering, Mechanical Engineering, and Statistics. In addition, the book would also be extremely useful for both academicians and practitioners KEY FEATURES : Includes six case studies of DOE in the context of different industry sector. Provides essential DOE techniques for process improvement. Introduces simple graphical methods for reducing time taken to design and develop products.