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9780071759663

Quality Improvement Through Planned Experimentation 3/e

by  Ronald Moen, Thomas W. Nolan, Lloyd P. Provost


ISBN-10: 0071759662

ISBN-13: 9780071759663

$153.00




Book Specs



Binding

Trade Cloth

Publisher

McGraw Hill

Published on  

Jul 17, 2012

Edition  

3rd Edition

Dimensions  

6.20x1.20x9.30 Inches

Weight  

1.83 Pounds

About the Book

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.


The latest experimental design techniques for quality improvement

"The methods taught in this book are a major contribution to statistical methods as an aid to engineers, as well as to those in industry, education, or government who are trying to understand the meaning of fi gures derived from comparisons or experiments." -- W. EDWARDS DEMING

Co-written by three recipients of the Deming Medal awarded by the American Society for Quality (ASQ), Quality Improvement through Planned Experimentation, Third Edition discusses the principles and methodologies for planning and conductingexperiments to improve products, processes, or systems.

Fully revised with up-to-date case studies and incorporating new software, this authoritative guide fosters the sequential building of knowledge essential for implementing effective improvements. End-of-chapter exercises reinforce what you've learned, and forms for designing planned experiments help you to integrate themethods in the book into your daily work. The methods of planned experimentation provide an opportunity to better meet the needs of customers, reduce costs, and increase productivity by effecting verifiably beneficial changes.

COVERAGE INCLUDES:
* Improvement of quality * Principles for design and analysis of planned experiments * Experiments with one factor * Experiments with more than one factor * Reducing the size of experiments * Evaluating sources of variation* Sequential experimentation * Using a time series response variable * Designs with factors at more than two levels * Applications in health care * New product design

NEW: Study-it software available for download!