Overview

With a foreword written by Genichi Taguchi, the book provides the latest information for a wide range of audiences. It begins with articles that provide an overview of the general concepts and methodology of robust design. This is followed by case studies that demonstrate how the robust design methodology is applied to quality improvement for a number of processes, ranging from window photolithography to improving the response time of a computer system. The last sections explain robust design from a theoretical point of view. This book should be of interest to degree and diploma students in departments of mathematics and statistics.

Full Product Details

Author:   Khosrow Dehnad
Publisher:   Kluwer Academic Publishers Group
Imprint:   Kluwer Academic Publishers
Edition:   1989 ed.
Weight:   0.660kg
ISBN:  

9780534090487

ISBN 10:   0534090486
Pages:   333
Publication Date:   March 1988
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

One - Overview.- 1 Taguchi's Quality Philosophy: Analysis and Commentary.- 2 Macro-Quality with Micro-Money.- 3 Quality Engineering using Design of Experiments.- 4 Off-Line Quality Control, Parameter Design, and the Taguchi Method.- 5 Quality Engineering through Design Optimization.- Two - Case Studies.- 6 Off-Line Quality Control in Integrated circuit Fabrication using Experimental Design.- 7 Optimizing the Wave Soldering Process.- 8 Robust Design: A Cost-Effective Method for Improving Manufacturing Processes.- 9 Tuning Computer Systems for Maximum Performance: A Statistical Approach.- 10 Design Optimization Case Studies.- Three - Methodology.- 11 Testing in Industrial Experiments with Ordered Categorical Data.- 12 Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-To-Noise Ratios.- 13 A Geometric Interpretation of Taguchfs Signal to Noise Ratio.- 14 A Data Analysis Strategy for Quality Engineering Experiments.

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