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Design of process parameters using robust design techniques and multiple criteria optimization
15 references·1 citing·38 second hop
Design of process parameters using robust design techniques and multiple criteria optimization (1995)Design of process parameters using robust…Understanding Industrial Designed Experiments (1996)Understanding Industrial Desi…Optimal levels of process parameters for products with multiple characteristics (1993)Optimal levels of process par…Taguchi's Parameter Design: A Panel Discussion (1992)Taguchi's Parameter Design: A…The outranking approach and the foundations of electre methods (1991)The outranking approach and t…Quality Engineering Using Robust Design (1991)Quality Engineering Using Rob…Multivariate Quality Control Based on Regression-Adjusted Variables (1991)Multivariate Quality Control …The Exact Relation of Taguchi's Signal-to-Noise Ratio to His Quality Loss Function (1990)The Exact Relation of Taguchi…Box-Cox Transformations and the Taguchi Method (1990)Box-Cox Transformations and t…Taguchi methods : applications in world industry (1989)Taguchi methods : application…Response Surface Methodology: 1966-1988 (1989)Response Surface Methodology:…Signal-to-Noise Ratios, Performance Criteria, and Transformations (1988)Signal-to-Noise Ratios, Perfo…Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise Ratios (1987)Performance Measures Independ…Orthogonal Fractional Factorial Designs (1987)Orthogonal Fractional Factori…Multiobjective Decision Making: Theory and Methodology (1983)Multiobjective Decision Makin…Factorial Experiments Derivable from Combinatorial Arrangements of Arrays (1947)Factorial Experiments Derivab…Design of six sigma supply chains (2004)Design of six sigma supply ch…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)Optimization by the Analytic Hierarchy Process (1979)The Analytic Hierarchy Process (1985)Decisions with Multiple Objectives: Preferences and Value Tradeoffs. (1994)Tentative guidelines to help choosing an appropriate MCDA method (1998)MULTIPLE CRITERIA DECISION MAKING (MCDM) METHODS IN ECONOMICS: AN OVERVIEW / DAUGIATIKSLIAI SPRENDIMŲ PRIĖMIMO METODAI EKONOMIKOJE: APŽVALGA (2011)Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment (2014)Simultaneous Optimization of Several Response Variables (1980)Empirical Model Building and Response Surfaces (1988)Designing Environmental Field Studies (1991)Optimization via simulation: A review (1994)Experimental design and response surface methodology in energy applications: A tutorial review (2017)Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)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)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Orthogonal Arrays of Strength two and three (1952)Off-Line Quality Control, Parameter Design, and the Taguchi Method (1989)The 2 k-p Fractional Factorial Designs Part I (2000)Design and Analysis of Experiments (1992)Generating Systematic Supersaturated Designs (1995)Free trade and the environment-development system (2001)Teaching the Taguchi method to industrial engineers (2001)An evidential reasoning approach for multiple-attribute decision making with uncertainty (1994)The Analytic Hierarchy Process—An Exposition (2001)Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys (2002)Regression Adjustment for Variables in Multivariate Quality Control (1993)The State of Statistical Process Control as We Proceed into the 21st Century (2000)Quality control and improvement for multistage systems: A survey (2009)ORGANIZATIONAL LEARNING AND CONTINUOUS IMPROVEMENT (1995)Optimization of the production of thiocarbohydrazide using the Taguchi method (2010)
this work references cited by second hop

References

  • 1991Quality Engineering Using Robust Design3,458 cited
  • 1983Multiobjective Decision Making: Theory and Methodology2,377 cited
  • 1991The outranking approach and the foundations of electre methods1,900 cited
  • 1992Taguchi's Parameter Design: A Panel Discussion714 cited
  • 1988Signal-to-Noise Ratios, Performance Criteria, and Transformations606 cited
  • 1989Response Surface Methodology: 1966-1988594 cited
  • 1947Factorial Experiments Derivable from Combinatorial Arrangements of Arrays479 cited
  • 1991Multivariate Quality Control Based on Regression-Adjusted Variables378 cited
  • 1996Understanding Industrial Designed Experiments275 cited
  • 1989Taguchi methods : applications in world industry230 cited
  • 1987Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise Ratios208 cited
  • 1987Orthogonal Fractional Factorial Designs193 cited
  • 1993Optimal levels of process parameters for products with multiple characteristics177 cited
  • 1990The Exact Relation of Taguchi's Signal-to-Noise Ratio to His Quality Loss Function68 cited
  • 1990Box-Cox Transformations and the Taguchi Method45 cited

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Cited by

  • 2004Design of six sigma supply chains14 cited