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CONSTRAINED MULTIVARIATE LOSS FUNCTION MINIMIZATION
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CONSTRAINED MULTIVARIATE LOSS FUNCTION MINIMIZATION (2001)CONSTRAINED MULTIVARIATE LOSS FUNCTION MI…Quality Loss Functions for Optimization across Multiple Response Surfaces (1997)Quality Loss Functions for Op…Economic design of the specification region for multiple quality characteristics (1996)Economic design of the specif…A PRAGMATIC APPROACH TO MULTIPLE-RESPONSE PROBLEMS USING LOSS FUNCTIONS (1996)A PRAGMATIC APPROACH TO MULTI…STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING (1993)STRATEGIES FOR ROBUST MULTIRE…Taguchi Techniques for Quality Engineering (1989)Taguchi Techniques for Qualit…Artificial Neural Networks as a quality loss function for Six Sigma (2018)Artificial Neural Networks as…Simultaneous Optimization of Several Response Variables (1980)Empirical Model Building and Response Surfaces (1988)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A Posterior Predictive Approach to Multiple Response Surface Optimization (2004)Optimization of multiple responses using principal component analysis and technique for order preference by similarity to ideal solution (2004)A New Loss Function-Based Method for Multiresponse Optimization (2005)Quality Engineering Using Robust Design (1990)Quality Engineering Using Robust Design (1991)Design and Analysis of Experiments (1992)A NOVEL MEANS OF APPLYING NEURAL NETWORKS TO OPTIMIZE THE MULTIRESPONSE PROBLEM (2001)Multiresponse systems optimization using a goal attainment approach (2004)A New Approach for Multiple-Response Optimization (2005)Quality Engineering in Production Systems (1990)Designing the optimal process target levels for multiple quality characteristics (2002)Economic manufacturing quantity, optimum process mean, and economic specification limits setting under the rectifying inspection plan (2006)Economic and economic-statistical designs of MEWMA control charts—a hybrid Taguchi loss, Markov chain, and genetic algorithm approach (2009)Total Quality Management & Business Excellence (2003)Taguchi's Quality Engineering Handbook (2004)An Overview of Six Sigma (2008)Multi-response robust design by principal component analysis (1997)A Compromise Approach to Multiresponse Optimization (1998)An interactive desirability function method to multiresponse optimization (2008)The Taguchi methodology as a statistical tool for biotechnological applications: A critical appraisal (2008)An artificial neural network (p,d,q) model for timeseries forecasting (2009)A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design (2016)
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References

  • 1989Taguchi Techniques for Quality Engineering2,721 cited
  • 1993STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING372 cited
  • 1997Quality Loss Functions for Optimization across Multiple Response Surfaces164 cited
  • 1996Economic design of the specification region for multiple quality characteristics126 cited
  • 1996A PRAGMATIC APPROACH TO MULTIPLE-RESPONSE PROBLEMS USING LOSS FUNCTIONS55 cited

Cited by

  • 2018Artificial Neural Networks as a quality loss function for Six Sigma11 cited

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