Quality Control, Robust Design, and the Taguchi Method.
Thomas C. Hsiang, Khosrow Dehnad
Abstract
Thomas C. Hsiang, Khosrow Dehnad
Abstract
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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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.
Key concepts: Taguchi methods, Quality (philosophy), Control (management), Computer science, Reliability engineering, Statistics, Mathematics, Engineering