Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise Ratios
From MaRDI portal
Publication:3814612
DOI10.2307/1269331zbMath0664.62103OpenAlexW156343950WikidataQ56270258 ScholiaQ56270258MaRDI QIDQ3814612
Ramon V. Leon, Raghu N. Kacker, Anne C. Shoemaker
Publication date: 1987
Full work available at URL: https://doi.org/10.2307/1269331
signal-to-noise ratiosoff-line quality controladjustment parametersminimization of average quadratic lossparameter design optimizationrobust product designThis is an important contribution to Taguchi methods
Related Items (22)
Quantile plots for mean effects in the presence of variance effects for 2k-pdesigns ⋮ Classification by varying features with an erring sensor ⋮ MODELING AND ESTIMATING VARIANCES IN REGRESSION ⋮ Response model analysis for robust design experiments ⋮ An application of taguchi's methods reconsidered ⋮ A robust simulation optimization algorithm using kriging and particle swarm optimization: Application to surgery room optimization ⋮ Identifying Dispersion Effects in Robust Design Experiments—Issues and Improvements ⋮ Analysis of robust design experiments with time-dependent ordinal response characteristics: a quality improvement study from the horticulture industry ⋮ SQVAM: A variance minimizing algorithm ⋮ Otimização de experimentos com variáveis de resposta descritas por perfis ⋮ Avoiding unnecessary bias in robust design analysis ⋮ Parameter and tolerance design in the engineering modelling stage ⋮ A case study on process optimization using the gradient loss function ⋮ Using simulation techniques to determine optimal operational region for multi-responses problems ⋮ Development of a highly efficient and resistant robust design ⋮ Dispersion effects in signal-response data from fractional factorial experiments. ⋮ The alpha error of the Taguchi method with L16array for the LTB response variable using simulation ⋮ A linear approximation model for the parameter design problem ⋮ Degeneracy in heteroscedastic regression models ⋮ Product and process yield estimation with Gaussian quadrature (GQ) reduction: Improvements over the GQ full factorial approach ⋮ A nonlinear programming approach to the parameter design problem ⋮ Optimization of TQFP molding process using neuro-fuzzy-GA approach
This page was built for publication: Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise Ratios