SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Mixture-Process Variable Experiments with Noise Variables
12 references·0 citing·42 second hop
Mixture-Process Variable Experiments with Noise Variables (2003)Mixture-Process Variable Experiments with…Introduction to quality engineering.... (2014)Introduction to quality engin…Response Surface Methodology (2002)Response Surface MethodologyExperiments with Mixtures (2002)Experiments with MixturesOptimization Problems and Methods in Quality Control and Improvement (2000)Optimization Problems and Met…Making Mixtures Robust to Noise and Mixing Measurement Errors (1997)Making Mixtures Robust to Noi…Mixture Experiment Approaches: Examples, Discussion, and Recommendations (1994)Mixture Experiment Approaches…How to Achieve a Robust Process Using Response Surface Methodology (1994)How to Achieve a Robust Proce…Taguchi's Parameter Design: A Panel Discussion (1992)Taguchi's Parameter Design: A…Response Surface Alternatives to the Taguchi Robust Parameter Design Approach (1992)Response Surface Alternatives…Models for Mixture Experiments When the Response Depends on the Total Amount (1985)Models for Mixture Experiment…Fractional Design Plans for Process Variables in Mixture Experiments (1984)Fractional Design Plans for P…Simultaneous Optimization of Several Response Variables (1980)Simultaneous Optimization of …Extreme Vertices Design of Mixture Experiments (1966)Models for the Response of a Mixture (1968)Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data (1991)Optimal designs for experiments with mixtures: a survey (2000)Using Genetic Algorithms to Generate Mixture-Process Experimental Designs Involving Control and Noise Variables (2005)Order-of-Addition Modeling (2018)Empirical Model Building and Response Surfaces (1988)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Efficient nearly orthogonal and space-filling experimental designs for high-dimensional complex models (2002)Joint Optimization of Mean and Standard Deviation Using Response Surface Methods (2003)Multi-Response Optimization Using Multiple Regression–Based Weighted Signal-to-Noise Ratio (MRWSN) (2010)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)Some New Three Level Designs for the Study of Quantitative Variables (1960)Experimental Design for Product and Process Design and Development (1999)The Design and Analysis of 2k–p× 2q–rSplit Plot Experiments (2000)Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Response Surface Methodology: A Retrospective and Literature Survey (2004)The Taguchi methodology as a statistical tool for biotechnological applications: A critical appraisal (2008)AN OVERVIEW OF TAGUCHI METHOD AND NEWLY DEVELOPED STATISTICAL METHODS FOR ROBUST DESIGN (1992)A Nonlinear Programming Solution to the Dual Response Problem (1993)Response Surface Methodology (1996)Response Surface Methodology—Current Status and Future Directions (1999)Experiments with Mixtures (1958)The Simplex-Centroid Design for Experiments with Mixtures (1963)Log Contrast Models for Experiments with Mixtures (1984)Experiments - Planning, Analysis and Parameter Design Optimization (2001)Quimiometria II: planilhas eletrônicas para cálculos de planejamentos experimentais, um tutorial (2006)An interactive desirability function method to multiresponse optimization (2008)Stochastic Kriging for Simulation Metamodeling (2009)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)STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING (1993)A method for constructing supersaturated designs and its Es2 optimality (1997)Decision-making techniques in supplier selection: Recent accomplishments and what lies ahead (2019)Fraction of Design Space to Assess Prediction Capability of Response Surface Designs (2003)Robust Parameter Design: A Review (2003)Design of experiments (DoE) in pharmaceutical development (2017)
this work references cited by second hop

References

  • 1980Simultaneous Optimization of Several Response Variables5,233 cited
  • 2002Response Surface Methodology890 cited
  • 1992Taguchi's Parameter Design: A Panel Discussion714 cited
  • 2014Introduction to quality engineering....641 cited
  • 2002Experiments with Mixtures593 cited
  • 1992Response Surface Alternatives to the Taguchi Robust Parameter Design Approach335 cited
  • 1994How to Achieve a Robust Process Using Response Surface Methodology156 cited
  • 2000Optimization Problems and Methods in Quality Control and Improvement132 cited
  • 1994Mixture Experiment Approaches: Examples, Discussion, and Recommendations80 cited
  • 1985Models for Mixture Experiments When the Response Depends on the Total Amount67 cited
  • 1984Fractional Design Plans for Process Variables in Mixture Experiments44 cited
  • 1997Making Mixtures Robust to Noise and Mixing Measurement Errors39 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work