Yadavalli Basavaraj
Dr. K.V.Sreenivasa Prasad
Dr. N.V.R. Naidu
Abstract
This case study illustrates how statistical techniques help improve the quality of a manufacturing process. The study shows how well Taguchi techniques advance one's understanding ofthe underlying process, and it emphasizes the importance ofexperimentationfor attaining knowledge. A strategy is proposed for the identification and quantification of sources of variation in a manufacturing process. The investigation strategy involvesfive steps ofSix Sigma: Define Measure, Analyze, Improve andControl. This strategy helps in finding those factors that contribute mostly to the total variation apparent in analysis results due to the raw materials quantity and design parameters involved in the process. The strategy is then applied to a case study in which sources of variation in hot metal analysis are identified and quantified. The study develops two models and the models show that the optimization of Burdon ratio can have an important influence on the total quality ofthe hot metal in the final analysis results.
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