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Cited by

• 1986Testing in Industrial Experiments with Ordered Categorical Data136 cited
• 1989Taguchi’s Quality Philosophy: Analysis and Commentary126 cited
• 1993Extensions to the Taguchi Method of Product Design125 cited
• 2004A methodological comparison of three strategies for quality improvement81 cited
• 1988Recent Developments in the Methods of Optimum and Related Experimental Designs65 cited
• 2020Taguchi Method as a Robust Design Tool57 cited
• 2012Parameter optimization of continuous sputtering process based on Taguchi methods, neural networks, desirability function, and genetic algorithms53 cited
• 1992Bayesian Variables Acceptance-Sampling Plans: Quadratic Loss Function and Step-Loss Function50 cited
• 1997Response Surface Methods and the Use of Noise Variables50 cited
• 1997Dispersion Effects From 7 Unreplicated Designs in the 2 k — p Series47 cited
• 1993Response model analysis for robust design experiments43 cited
• 1991Designing simulation experiments: Taguchi methods and response surface metamodels43 cited
• 2006Six sigma-based approach to optimize deep drawing operation variables39 cited
• 2004Variation mode and effect analysis38 cited