Taguchi techniques for quality engineering: loss function, orthogonal experiments, parameter and tolerance design/ Phillip J. Ross

Includes index

The economics of reducing variation -- The design of experiments process -- Orthogonal array selection and utilization -- Conducting tests -- Analysis and interpretation methods for experiments -- Confirmation experiment -- Parameter design -- Tolerance design

This edition of this best-selling book - revised, updated, and reorganized with important new material - offers you an easy-to-follow approach to using the often difficult Taguchi methodology for engineering quality control. Keeping statistics to a minimum, this step-by-step approach shows you how to design effective experiments to reduce variation and improve the quality of products and processes. You'll find the expanded discussions of: the loss function concept - for quantifying the cost of product and processes. You'll find expanded discussions of: the loss function concept - for quantifying the cost of product and process variations; orthogonal experiment design--to pinpoint areas where variation may be successfully reduced; parameter and tolerance design - to reduce variations in products and processes at little or not cost. The Second Edition is now organized in the chronological order of the DOE process. Included are new reference tables to make it easier to understand how to design experiments - as well as flowcharts of the experimental design process and confirmation experiments to aid you in decision making. This essential reference provides a wealth of proven Taguchi strategies for creating the highest quality products - on time and within budget. This text refers to an out of print or unavailable edition of this title.