Engineering an Algorithm for Reducing Variation in Manufacturing Processes Book

Steiner and MacKay, both affiliated with the Institute for Improvement in Quality and Productivity at the University of Waterloo, describe a strategy for finding the dominant cause of variation in manufacturing processes. They present a detailed framework for planning and analyzing empirical investigations and classify all of the effective ways to reduce variation into seven approaches. The variation reduction algorithm narrowly focuses on process improvement of high- volume manufacturing processes, and is not meant to replace global improvement systems such as Six Sigma. The book will benefit process engineers, academics interested in quality and productivity improvement, and teachers and students in engineering statistics. Annotation ©2005 Book News, Inc., Portland, OR