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Comparing Different Approaches for Design of Experiments (DoE)
16 references·0 citing·28 second hop
Comparing Different Approaches for Design of Experiments (DoE) (2009)Comparing Different Approaches for Design…Introduction to quality engineering.... (2014)Introduction to quality engin…Taguchi's quality engineering handbook (2006)Taguchi's quality engineering…Statistics for experimenters: design, innovation, and discovery (2006)Statistics for experimenters:…Taguchi's Quality Engineering Handbook (2004)Taguchi's Quality Engineering…Design of Experiments Using the Taguchi Approach: 16 Steps to Product and Process Improvement (2002)Design of Experiments Using t…Design of Experiments Using The Taguchi Approach: 16 Steps to Product and Process Improvement (2001)Design of Experiments Using T…Understanding Industrial Designed Experiments (1996)Understanding Industrial Desi…Taguchi's Parameter Design: A Panel Discussion (1992)Taguchi's Parameter Design: A…On the Experimental Attainment of Optimum Conditions (1992)On the Experimental Attainmen…Computer Experiments for Quality Control by Parameter Design (1990)Computer Experiments for Qual…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…An explanation and critique of taguchi's contributions to quality engineering (1988)An explanation and critique o…System of experimental design : engineering methods to optimize quality and minimize costs (1987)System of experimental design…Design and Analysis of Experiments. (1978)Design and Analysis of Experi…Design of Experiments (1936)Design of ExperimentsStatistics 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 DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Some New Three Level Designs for the Study of Quantitative Variables (1960)Sequential Application of Simplex Designs in Optimisation and Evolutionary Operation (1962)Response surface methodology (2010)Observational Study of Behavior: Sampling Methods (1974)Effect size, confidence interval and statistical significance: a practical guide for biologists (2007)A hybrid vendor managed inventory and redundancy allocation optimization problem in supply chain management: An NSGA-II with tuned parameters (2013)Optimizing a hybrid vendor-managed inventory and transportation problem with fuzzy demand: An improved particle swarm optimization algorithm (2014)Perceived quality of products: a framework and attributes ranking method (2019)Experimental design in chromatography: A tutorial review (2012)Experimental design of supercritical fluid extraction – A review (2013)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)A decision support system for applying failure mode and effects analysis (2002)The Taguchi methodology as a statistical tool for biotechnological applications: A critical appraisal (2008)Trustworthy Online Controlled Experiments (2020)Design of Experiments (2010)Application of value stream mapping (VSM) for lean and cycle time reduction in complex production environments: a case study (2017)Design and Analysis of Experiments (1985)A Review on Global Sensitivity Analysis Methods (2015)Design of Experiments Application, Concepts, Examples: State of the Art (2017)Realities of supply chain collaboration (2006)A review of practices for robust design methodology (2008)Optimizing a multi-vendor multi-retailer vendor managed inventory problem: Two tuned meta-heuristic algorithms (2013)
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References

  • 1936Design of Experiments4,949 cited
  • 1992On the Experimental Attainment of Optimum Conditions3,451 cited
  • 1978Design and Analysis of Experiments.1,728 cited
  • 2006Statistics for experimenters: design, innovation, and discovery1,644 cited
  • 2004Taguchi's Quality Engineering Handbook1,095 cited
  • 2006Taguchi's quality engineering handbook846 cited
  • 2002Design of Experiments Using the Taguchi Approach: 16 Steps to Product and Process Improvement827 cited
  • 1992Taguchi's Parameter Design: A Panel Discussion714 cited
  • 1987System of experimental design : engineering methods to optimize quality and minimize costs685 cited
  • 2001Design of Experiments Using The Taguchi Approach: 16 Steps to Product and Process Improvement678 cited
  • 1990Combining Taguchi and Response Surface Philosophies: A Dual Response Approach653 cited
  • 2014Introduction to quality engineering....641 cited
  • 1988Signal-to-Noise Ratios, Performance Criteria, and Transformations606 cited
  • 1990Computer Experiments for Quality Control by Parameter Design368 cited
  • 1988An explanation and critique of taguchi's contributions to quality engineering275 cited

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  • 1996Understanding Industrial Designed Experiments275 cited
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