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A desirability functions-based approach for simultaneous optimization of quantitative and ordinal response variables in industrial processes
12 references·1 citing·36 second hop
A desirability functions-based approach for simultaneous optimization of quantitative and ordinal response variables in industrial processes (2018)A desirability functions-based approach f…Experimental design and multiple response optimization. Using the desirability function in analytical methods development (2014)Experimental design and multi…Introduction to Quality Engineering (2008)Introduction to Quality Engin…Optimization of Correlated Multiple Quality Characteristics Using Desirability Function (2004)Optimization of Correlated Mu…Optimization of multiple quality responses involving qualitative and quantitative characteristics in IC manufacturing using neural networks (2001)Optimization of multiple qual…Quality optimization (multi-characteristics) through Taguchi's technique and utility concept (2000)Quality optimization (multi-c…Modified Desirability Functions for Multiple Response Optimization (1996)Modified Desirability Functio…STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING (1993)STRATEGIES FOR ROBUST MULTIRE…A Nonlinear Programming Solution to the Dual Response Problem (1993)A Nonlinear Programming Solut…Combining Taguchi and Response Surface Philosophies: A Dual Response Approach (1990)Combining Taguchi and Respons…Testing in Industrial Experiments with Ordered Categorical Data (1986)Testing in Industrial Experim…Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions (1981)Simultaneous Optimization of …Simultaneous Optimization of Several Response Variables (1980)Simultaneous Optimization of …Metric Systems for Performance Evaluation of Active Learning Kriging Configurations for Reliability Analysis (2024)Metric Systems for Performanc…Some New Three Level Designs for the Study of Quantitative Variables (1960)Off-Line Quality Control, Parameter Design, and the Taguchi Method (1985)Empirical Model-Building and Response Surfaces. (1988)AN OVERVIEW OF TAGUCHI METHOD AND NEWLY DEVELOPED STATISTICAL METHODS FOR ROBUST DESIGN (1992)Response Surface Alternatives to the Taguchi Robust Parameter Design Approach (1992)Dual Response Surface Optimization (1995)Empirical Model Building and Response Surfaces (1988)Dual Response Surface Optimization: A Fuzzy Modeling Approach (1998)Response Surface Methodology—Current Status and Future Directions (1999)Robust Parameter Design: A Review (2003)Quality Engineering Using Robust Design (1990)Quality Engineering Using Robust Design (1991)A data mining approach to dynamic multiple responses in Taguchi experimental design (2007)Application of PCA-based hybrid Taguchi method for correlated multicriteria optimization of submerged arc weld: a case study (2009)A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability (2015)On the Experimental Attainment of Optimum Conditions (1951)Multicriteria decision making (1992)On the Experimental Attainment of Optimum Conditions (1992)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response surface methodology (RSM) as a tool for optimization in analytical chemistry (2008)Design of experiments (DoE) in pharmaceutical development (2017)Design of Experiments (DoE) applied to Pharmaceutical and Analytical Quality by Design (QbD) (2018)Central Composite Design for Response Surface Methodology and Its Application in Pharmacy (2021)Analysis for Optimal Decisions. (1983)A review of robust design methods for multiple responses (2004)Parameter optimization of laser transformation hardening by using Taguchi method and utility concept (2010)Optimization of bead geometry of submerged arc weld using fuzzy based desirability function approach (2011)Box-Behnken design: An alternative for the optimization of analytical methods (2007)Response surface methodology (2010)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)Defining Quality (1993)Response Surface Methodology: A Retrospective and Literature Survey (2004)Computational methods in optimization considering uncertainties – An overview (2008)Optimization of Designed Experiments Based on Multiple Criteria Utilizing a Pareto Frontier (2011)
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References

  • 1980Simultaneous Optimization of Several Response Variables5,233 cited
  • 2008Introduction to Quality Engineering1,500 cited
  • 2014Experimental design and multiple response optimization. Using the desirability function in analytical methods development1,154 cited
  • 1990Combining Taguchi and Response Surface Philosophies: A Dual Response Approach653 cited
  • 1981Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions386 cited
  • 1996Modified Desirability Functions for Multiple Response Optimization374 cited
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  • 1993A Nonlinear Programming Solution to the Dual Response Problem300 cited
  • 2004Optimization of Correlated Multiple Quality Characteristics Using Desirability Function138 cited
  • 2000Quality optimization (multi-characteristics) through Taguchi's technique and utility concept137 cited
  • 1986Testing in Industrial Experiments with Ordered Categorical Data136 cited
  • 2001Optimization of multiple quality responses involving qualitative and quantitative characteristics in IC manufacturing using neural networks57 cited

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  • 2024Metric Systems for Performance Evaluation of Active Learning Kriging Configurations for Reliability Analysis9 cited

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