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Quality Engineering using Design of Experiments

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References

1978Statistics for experimenters. An introduction to design, data analysis, and model building.4,021 cited
1946THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS3,903 cited
1979Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building.2,003 cited
2007Design and Analysis of Experiments1,424 cited
2000Fundamental Concepts in the Design of Experiments1,259 cited
1967Quality Control and Industrial Statistics.1,001 cited
1955Design and Analysis of Industrial Experiments.933 cited
1962Orthogonal Main-Effect Plans for Asymmetrical Factorial Experiments707 cited
1952The Design and Analysis of Experiments616 cited
1973Constructions and Combinatorial Problems in Design of Experiments577 cited

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1988Signal-to-Noise Ratios, Performance Criteria, and Transformations606 cited
2008The Taguchi methodology as a statistical tool for biotechnological applications: A critical appraisal481 cited
1984Experimental Design: Review and Comment328 cited
1989Quality Engineering through Design Optimization290 cited
2001Robust optimization considering tolerances of design variables

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288 cited

2004An Integrated Framework for Optimization Under Uncertainty Using Inverse Reliability Strategy272 cited

2004Analytical Variance-Based Global Sensitivity Analysis in Simulation-Based Design Under Uncertainty230 cited

2006Optimization of multi-response processes using the VIKOR method227 cited

2001Teaching the Taguchi method to industrial engineers192 cited

2005Multi-response optimization using weighted principal component179 cited

1993Optimal levels of process parameters for products with multiple characteristics177 cited

1987Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise Ratios176 cited

1997The optimization of multi‐response problems in the Taguchi method167 cited

1989Performance Measures Independent of Adjustment: an Explanation and Extension of Taguchi’s Signal-To-Noise Ratios143 cited

2004Optimization of multiple responses using principal component analysis and technique for order preference by similarity to ideal solution141 cited

2018Introduction to the Taguchi Method124 cited