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A Nonlinear Integer Programming Approach to Solving the Robust Parameter Design Optimization Problem
16 references·1 citing·33 second hop
A Nonlinear Integer Programming Approach to Solving the Robust Parameter Design Optimization Problem (2016)A Nonlinear Integer Programming Approach …Response surface methodology (2010)Response surface methodologyIntroduction to Quality Engineering (2008)Introduction to Quality Engin…An interactive desirability function method to multiresponse optimization (2008)An interactive desirability f…Robust Design: An Overview (2006)Robust Design: An OverviewResponse Surfaces: Designs and Analyses (1997)Response Surfaces: Designs an…Response surface methodology: Process and product optimization using designed experiments (1997)Response surface methodology:…Dual Response Surface Optimization (1995)Dual Response Surface Optimiz…A Nonlinear Programming Solution to the Dual Response Problem (1993)A Nonlinear Programming Solut…Taguchi's Parameter Design: A Panel Discussion (1992)Taguchi's Parameter Design: A…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…AN OVERVIEW OF TAGUCHI METHOD AND NEWLY DEVELOPED STATISTICAL METHODS FOR ROBUST DESIGN (1992)AN OVERVIEW OF TAGUCHI METHOD…Combining Taguchi and Response Surface Philosophies: A Dual Response Approach (1990)Combining Taguchi and Respons…Signal-to-Noise Ratios, Performance Criteria, and Transformations (1988)Signal-to-Noise Ratios, Perfo…Empirical Model-Building and Response Surfaces. (1988)Empirical Model-Building and …An explanation and critique of taguchi's contributions to quality engineering (1988)An explanation and critique o…Multi-Factor Experimental Designs for Exploring Response Surfaces (1957)Multi-Factor Experimental Des…Robust parameter design based on Gaussian process with model uncertainty (2020)Robust parameter design based…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)Response Surface Alternatives to the Taguchi Robust Parameter Design Approach (1992)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)Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)Empirical Model Building and Response Surfaces (1988)A new look at the response surface approach for reliability analysis (1993)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Simultaneous Optimization of Several Response Variables (1980)A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design (2016)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)Design and Analysis of Simulation Experiments (2018)On the Experimental Attainment of Optimum Conditions (1951)STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING (1993)Efficient estimation of conditional variance functions in stochastic regression (1998)Optimum Designs in Regression Problems (1959)Sequential Application of Simplex Designs in Optimisation and Evolutionary Operation (1962)Designs for Computer Experiments (1989)Time-Series Modeling for Statistical Process Control (1988)Statistical process control as a tool for research and healthcare improvement (2003)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)Defining Quality (1993)Computational methods in optimization considering uncertainties – An overview (2008)Quality by design case study: An integrated multivariate approach to drug product and process development (2009)Three-level meta-analysis of dependent effect sizes (2012)A Review on Global Sensitivity Analysis Methods (2015)
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References

  • 1992Introduction to Statistical Quality Control7,842 cited
  • 2010Response surface methodology2,134 cited
  • 1988Empirical Model-Building and Response Surfaces.1,894 cited
  • 1997Response Surfaces: Designs and Analyses1,520 cited
  • 2008Introduction to Quality Engineering1,500 cited
  • 1957Multi-Factor Experimental Designs for Exploring Response Surfaces1,433 cited
  • 1997Response surface methodology: Process and product optimization using designed experiments1,344 cited
  • 1992Taguchi's Parameter Design: A Panel Discussion714 cited
  • 1990Combining Taguchi and Response Surface Philosophies: A Dual Response Approach653 cited
  • 1988Signal-to-Noise Ratios, Performance Criteria, and Transformations606 cited
  • 2006Robust Design: An Overview494 cited
  • 1995Dual Response Surface Optimization392 cited
  • 1992AN OVERVIEW OF TAGUCHI METHOD AND NEWLY DEVELOPED STATISTICAL METHODS FOR ROBUST DESIGN340 cited
  • 1993A Nonlinear Programming Solution to the Dual Response Problem300 cited
  • 1988An explanation and critique of taguchi's contributions to quality engineering275 cited
  • 2008

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An interactive desirability function method to multiresponse optimization
241 cited

Cited by

  • 2020Robust parameter design based on Gaussian process with model uncertainty29 cited