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Integrating Taguchi Optimization for Multi-Criteria Decision Making in Engineering Applications
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Integrating Taguchi Optimization for Multi-Criteria Decision Making in Engineering Applications (2024)Integrating Taguchi Optimization for Mult…Application of Taguchi design of experiments in the food industry: a systematic literature review (2024)Application of Taguchi design…Design of Experiments and machine learning for product innovation: A systematic literature review (2021)Design of Experiments and mac…Taguchi Method as a Robust Design Tool (2020)Taguchi Method as a Robust De…Introduction to the Taguchi Method (2018)Introduction to the Taguchi M…Application of Taguchi-Based Design of Experiments for Industrial Chemical Processes (2018)Application of Taguchi-Based …Fundamentals of Quality Control and Improvement (2008)Fundamentals of Quality Contr…Fundamentals of Quality Control and Improvement (1996)Fundamentals of Quality Contr…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)A simulation-based logistics assessment framework in global pharmaceutical supply chain networks (2022)Taguchi Techniques for Quality Engineering (1989)Quality Engineering Using Robust Design (1991)Fundamental Concepts in the Design of Experiments (2000)A novel particle swarm optimization-based grey model for the prediction of warehouse performance (2021)Implementation of a novel Six Sigma multi-objective robustness optimization method based on the improved response surface model for bumper system design (2021)An integrated multi-criteria decision-making approach to optimize the number of leagile-sustainable suppliers in supply chains (2022)Off-Line Quality Control, Parameter Design, and the Taguchi Method (1985)Taguchi's Quality Engineering Handbook (2004)Design of Experiments for Engineers and Scientists (2014)A New Vendor-Managed Inventory Model by Applying Blockchain Technology and Considering Environmental Problems (2023)Design of Experiments (1936)Guidance on Conducting a Systematic Literature Review (2017)Response Surface Methodology Using Observational Data: A Systematic Literature Review (2022)The Mediating Effect of Innovation in Between Strategic Orientation and Enterprise Performance: Evidence From Malaysian Manufacturing Small-to-Medium-Sized Enterprises (2022)Design of experiments and machine learning with application to industrial experiments (2023)Design and Analysis of Experiments (1985)A Primer on the Taguchi Method (1990)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)The Quality of Standard, Routine and Nonroutine Processes (2003)The mediating role of total quality management between the entrepreneurial orientation and the organizational performance (2016)Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques (2020)The Taguchi method (2011)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)An adaptive exponentially weighted moving average-type control chart to monitor the process mean (2019)
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References

  • 1996Fundamentals of Quality Control and Improvement465 cited
  • 2008Fundamentals of Quality Control and Improvement134 cited
  • 2018Introduction to the Taguchi Method124 cited
  • 2018Application of Taguchi-Based Design of Experiments for Industrial Chemical Processes108 cited
  • 2021Design of Experiments and machine learning for product innovation: A systematic literature review96 cited
  • 2020Taguchi Method as a Robust Design Tool57 cited
  • 2024Application of Taguchi design of experiments in the food industry: a systematic literature review39 cited

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