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A new loss function for multi-response optimization with model parameter uncertainty and implementation errors
16 references·2 citing·34 second hop
A new loss function for multi-response optimization with model parameter uncertainty and implementation errors (2016)A new loss function for multi-response op…Design and Analysis of Simulation Experiments (2018)Design and Analysis of Simula…Design and Analysis of Simulation Experiments (2015)Design and Analysis of Simula…A Bayesian Framework for Quantifying Uncertainty in Stochastic Simulation (2014)A Bayesian Framework for Quan…A robust desirability function method for multi-response surface optimization considering model uncertainty (2012)A robust desirability functio…Stochastic Kriging for Simulation Metamodeling (2009)Stochastic Kriging for Simula…An interactive desirability function method to multiresponse optimization (2008)An interactive desirability f…Process optimization a statistical approach (2007)Process optimization a statis…Response Surface Designs within a Split-Plot Structure (2005)Response Surface Designs with…A New Loss Function-Based Method for Multiresponse Optimization (2005)A New Loss Function-Based Met…Optimization of multiple responses considering both location and dispersion effects (2004)Optimization of multiple resp…A Posterior Predictive Approach to Multiple Response Surface Optimization (2004)A Posterior Predictive Approa…A Compromise Approach to Multiresponse Optimization (1998)A Compromise Approach to Mult…Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response Surface Methodology:…STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING (1993)STRATEGIES FOR ROBUST MULTIRE…Optimal levels of process parameters for products with multiple characteristics (1993)Optimal levels of process par…Introduction to Quality Engineering: Designing Quality into Products and Processes (1986)Introduction to Quality Engin…Concurrent optimization of parameter and tolerance design based on the two-stage Bayesian sampling method (2023)Concurrent optimization of pa…Robust optimization model for medical staff rebalancing problem with data contamination during COVID-19 pandemic (2021)Robust optimization model for…Simultaneous Optimization of Several Response Variables (1980)Empirical Model Building and Response Surfaces (1988)Quality Engineering in Production Systems (1990)A general framework for multiresponse optimization problems based on goal programming (2007)A Bayesian Reliability Approach to Multiple Response Optimization with Seemingly Unrelated Regression Models (2009)A desirability function method for optimizing mean and variability of multiple responses using a posterior preference articulation approach (2018)Simulation Modeling and Analysis. (1983)An algorithm for fast optimal Latin hypercube design of experiments (2009)Robust Optimization (2009)Design of computer experiments: space filling and beyond (2011)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)Quality Engineering Using Robust Design (1990)Quality Engineering Using Robust Design (1991)Dynamic multiple responses by ideal solution analysis (2003)Optimization of Correlated Multiple Quality Characteristics Using Desirability Function (2004)Optimization of multiple responses using principal component analysis and technique for order preference by similarity to ideal solution (2004)Multiple Criteria Decision Analysis: State of the Art Surveys (2005)A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability (2015)Statistics for Experimenters (1979)Design and Analysis of Experiments (1998)Modeling and optimization I: Usability of response surface methodology (2006)Response surface methodology (2010)Design and Analysis of Computer Experiments (1989)Statistics for Spatial Data (1993)Statistics for Spatial Data. (1993)Proceedings of the 2002 Winter Simulation Conference (2002)Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions (1981)Multiresponse robust design: Mean square error (MSE) criterion (2005)Multi-response robust design by principal component analysis (1997)Signal-to-Noise Ratios, Performance Criteria, and Transformations (1988)Economical Experimentation Methods for Robust Design (1991)AN OVERVIEW OF TAGUCHI METHOD AND NEWLY DEVELOPED STATISTICAL METHODS FOR ROBUST DESIGN (1992)Space-filling designs for computer experiments: A review (2016)Design of experiments and response surface methodology to tune machine learning hyperparameters, with a random forest case-study (2018)
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References

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  • 2009Stochastic Kriging for Simulation Metamodeling636 cited
  • 2018Design and Analysis of Simulation Experiments449 cited
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  • 2004Optimization of multiple responses considering both location and dispersion effects

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115 cited
  • 2014A Bayesian Framework for Quantifying Uncertainty in Stochastic Simulation102 cited
  • Cited by

    • 2021Robust optimization model for medical staff rebalancing problem with data contamination during COVID-19 pandemic20 cited
    • 2023Concurrent optimization of parameter and tolerance design based on the two-stage Bayesian sampling method9 cited