1990Journal of the American Statistical AssociationRequires access

Quality Control, Robust Design, and the Taguchi Method.

Thomas C. Hsiang, Khosrow Dehnad

Open publisher page 56 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 56 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Taguchi methods, Quality (philosophy), Control (management), Computer science, Reliability engineering, Statistics, Mathematics, Engineering

Related papers

Back to paper searchBrowse research topicsOriginal source
Quality Control, Robust Design, and the Taguchi Method. — Research Paper | ScholarLens