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Application of desirability function for optimizing the performance characteristics of carbonitrided bushes
12 references·0 citing·40 second hop
Application of desirability function for optimizing the performance characteristics of carbonitrided bushes (2013)Application of desirability function for …Design and analysis of experiments, 8th edition (2012)Design and analysis of experi…Multiple response optimization using Taguchi methodology and neuro‐fuzzy based model (2006)Multiple response optimizatio…Mean square error criteria to multiresponse process optimization by a new genetic algorithm (2005)Mean square error criteria to…A data envelopment analysis method for optimizing multi-response problem with censored data in the Taguchi method (2004)A data envelopment analysis m…Design and Analysis of Experiments (2000)Design and Analysis of Experi…Multi-response robust design by principal component analysis (1997)Multi-response robust design …Taguchi Methods: A Hands-On Approach (1994)Taguchi Methods: A Hands-On A…Taguchi methods : design of experiments (1993)Taguchi methods : design of e…A Nonlinear Programming Solution to the Dual Response Problem (1993)A Nonlinear Programming Solut…Quality Engineering Using Robust Design (1991)Quality Engineering Using Rob…Quality Engineering Using Robust Design (1991)Quality Engineering Using Rob…Response Surface Techniques for Dual Response Systems (1973)Response Surface Techniques f…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)On the Experimental Attainment of Optimum Conditions (1951)On the Experimental Attainment of Optimum Conditions (1992)Dual Response Optimization via Direct Function Minimization (1996)Response Surface Methodology (1996)Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)Taguchi's Parameter Design: A Panel Discussion (1992)Response Surface Methodology: A Retrospective and Literature Survey (2004)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)A Primer on the Taguchi Method (1990)Fuzzy sets (1996)Neuro-genetic approach to optimize parameter design of dynamic multiresponse experiments (2009)A novel approach for optimization of correlated multiple responses based on desirability function and fuzzy logics (2012)The incorporation of the Taguchi and the VIKOR methods to optimize multi-response problems in intuitionistic fuzzy environments (2015)The Application of Electronic Computers to Factor Analysis (1960)Quality Engineering Using Robust Design (1990)Quality management research by considering multi-response problems in the Taguchi method – a review (2004)Multi-response optimization in friction properties of PBT composites using Taguchi method and principle component analysis (2005)Optimization of multi-response processes using the VIKOR method (2006)Applications of Statistics to Industrial Experimentation (1976)Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building. (1979)Robust Design for Multiscale and Multidisciplinary Applications (2006)THE INTERNATIONAL JOURNAL OF ORGANIZATIONAL INNOVATION (2011)Multi-fidelity modelling via recursive co-kriging and Gaussian–Markov random fields (2015)Strengths and limitations of taguchi's contributions to quality, manufacturing, and process engineering (2004)Overall equipment effectiveness (OEE) and process capability (PC) measures (2010)A modified particle swarm optimization for solving the integrated location and inventory control problems in a two-echelon supply chain network (2014)Evaluation of Lean Production System by using SAE J4000 standard: Case study in Brazilian and Spanish automotive component manufacturing organizations (2012)An effective heuristic for project scheduling with resource availability cost (2016)Hyperbolic polynomial chaos expansion (HPCE) and its application to statistical analysis of nonlinear circuits (2016)Design and Analysis of Experiments (2001)State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments (2005)Design and Analysis of Experiments (2006)Multi-response optimization in industrial experiments using Taguchi's quality loss function and principal component analysis (2000)Simultaneous Optimisation of Multiple Quality Characteristics in Manufacturing Processes Using Taguchi's Quality Loss Function (2001)
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References

  • 1991Quality Engineering Using Robust Design3,458 cited
  • 2000Design and Analysis of Experiments2,656 cited
  • 1994Taguchi Methods: A Hands-On Approach455 cited
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  • 1993A Nonlinear Programming Solution to the Dual Response Problem300 cited
  • 1973Response Surface Techniques for Dual Response Systems267 cited
  • 1997Multi-response robust design by principal component analysis253 cited
  • 2012Design and analysis of experiments, 8th edition222 cited
  • 2006Multiple response optimization using Taguchi methodology and neuro‐fuzzy based model62 cited
  • 2004A data envelopment analysis method for optimizing multi-response problem with censored data in the Taguchi method58 cited
  • 2005Mean square error criteria to multiresponse process optimization by a new genetic algorithm53 cited

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