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A case study to demonstrate a Pareto Frontier for selecting a best response surface design while simultaneously optimizing multiple criteria
16 references·0 citing·41 second hop
A case study to demonstrate a Pareto Frontier for selecting a best response surface design while simultaneously optimizing multiple criteria (2012)A case study to demonstrate a Pareto Fron…Optimization of Designed Experiments Based on Multiple Criteria Utilizing a Pareto Frontier (2011)Optimization of Designed Expe…Efficient Designs With Minimal Aliasing (2011)Efficient Designs With Minima…Achieving Robust Design from Computer Simulations (2006)Achieving Robust Design from …Comparison of designs for computer experiments (2004)Comparison of designs for com…Experiments with Mixtures (2002)Experiments with MixturesOptimization Problems and Methods in Quality Control and Improvement (2000)Optimization Problems and Met…Statistics as a Catalyst to Learning by Scientific Method Part I—An Example (1999)Statistics as a Catalyst to L…Response surface methodology: Process and product optimization using designed experiments (1997)Response surface methodology:…A Nonlinear Programming Solution to the Dual Response Problem (1993)A Nonlinear Programming Solut…A review of some exchange algorithms for constructing discrete D-optimal designs (1992)A review of some exchange alg…Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data. (1984)Experiments with Mixtures: De…Model Robust, Linear-Optimal Designs (1982)Model Robust, Linear-Optimal …Simultaneous Optimization of Several Response Variables (1980)Simultaneous Optimization of …A Comparison of Algorithms for Constructing Exact D-Optimal Designs (1980)A Comparison of Algorithms fo…Experimental Design in a Class of Models (1974)Experimental Design in a Clas…A Basis for the Selection of a Response Surface Design (1959)A Basis for the Selection of …Empirical Model Building and Response Surfaces (1988)Empirical Model-Building and Response Surfaces. (1988)Combining Taguchi and Response Surface Philosophies: A Dual Response Approach (1990)Dual Response Surface Optimization: A Fuzzy Modeling Approach (1998)Response Surface Methodology—Current Status and Future Directions (1999)Robust Parameter Design: A Review (2003)Theory of optimal experiments (1972)Theory of Optimal Experiments. (1972)The Coordinate-Exchange Algorithm for Constructing Exact Optimal Experimental Designs (1995)An Algorithm for the Construction of "D-Optimal" Experimental Designs (2000)Designing efficient stated choice experiments in the presence of reference alternatives (2007)Design efficiency for non‐market valuation with choice modelling: how to measure it, what to report and why* (2008)The Sequential Generation of $D$-Optimum Experimental Designs (1970)Algorithm AS 295: A Fedorov Exchange Algorithm for D-Optimal Design (1994)An Algorithm for Constructing Orthogonal and Nearly-Orthogonal Arrays With Mixed Levels and Small Runs (2002)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)General Equivalence Theory for Optimum Designs (Approximate Theory) (1974)Curve Fitting and Optimal Design for Prediction (1978)Response Surface Methodology: 1966-1988 (1989)On the Experimental Attainment of Optimum Conditions (1992)Optimum Designs in Regression Problems (1959)Optimal Experimental Design for Polynomial Regression (1971)Planning Experiments for Discriminating between Models (1974)Optimum Experimental Designs for Properties of a Compartmental Model (1993)Designs for Generalized Linear Models With Several Variables and Model Uncertainty (2006)A Class of Three-Level Designs for Definitive Screening in the Presence of Second-Order Effects (2011)Optimum Design of Experiments for Statistical Inference (2012)I-Optimal Design of Mixture Experiments (2016)A desirability function method for optimizing mean and variability of multiple responses using a posterior preference articulation approach (2018)Box-Behnken design: An alternative for the optimization of analytical methods (2007)Response surface methodology (2010)Experimental design and multiple response optimization. Using the desirability function in analytical methods development (2014)Uniform Design: Theory and Application (2000)Statistical designs and response surface techniques for the optimization of chromatographic systems (2007)Experimental design in chemistry: A tutorial (2009)Response Surface Methodology: A Retrospective and Literature Survey (2004)Quality by design case study: An integrated multivariate approach to drug product and process development (2009)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)Fraction of Design Space to Assess Prediction Capability of Response Surface Designs (2003)Design of experiments (DoE) in pharmaceutical development (2017)
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References

  • 1980Simultaneous Optimization of Several Response Variables5,233 cited
  • 1997Response surface methodology: Process and product optimization using designed experiments1,344 cited
  • 1984Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data.909 cited
  • 1959A Basis for the Selection of a Response Surface Design738 cited
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  • 1980A Comparison of Algorithms for Constructing Exact D-Optimal Designs409 cited
  • 1993A Nonlinear Programming Solution to the Dual Response Problem300 cited
  • 1974Experimental Design in a Class of Models168 cited
  • 2011Optimization of Designed Experiments Based on Multiple Criteria Utilizing a Pareto Frontier162 cited
  • 1992A review of some exchange algorithms for constructing discrete D-optimal designs162 cited
  • 2000Optimization Problems and Methods in Quality Control and Improvement132 cited
  • 1999Statistics as a Catalyst to Learning by Scientific Method Part I—An Example111 cited
  • 2004Comparison of designs for computer experiments105 cited
  • 1982Model Robust, Linear-Optimal Designs99 cited
  • 2011Efficient Designs With Minimal Aliasing68 cited

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  • 2006Achieving Robust Design from Computer Simulations64 cited
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