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This bundle includes:"Design of Experiments (DOE) - 2.0 hours/PDUs" Item OPER0211"Design and Analysis - 2.0 hours/PDUs" Item OPER0212"Taguchi and Quality Improvement - 2.0 hours/PDUs" Item OPER0213"Experimenting for Process Improvement - 2.0 hours/PDUs" Item OPER0214 |
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This course will enable you to choose between process methods, determine the most effective process, and take into account all of the necessary factors by designing and analyzing full factorial experiments, fractional factorial experiments, and experiments for special cases, such as Plackett-Burman, Box-Behnken, and Central Composite Design (CCD). |
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This course explains how to design and implement efficient and effective improvement experiments. |
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This course introduces the sophisticated statistical tools used to optimize performance during the Improve phase. You will learn about Response Surface Methodology (RSM) and how it is used to model the impact of interacting factors on response. Evolutionary Operations, Central Composite Designs, the Box-Behnken model, and mixture designs are all introduced as methods for modeling, predicting, and optimizing response. |
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The Taguchi Method allows the Six Sigma teams to avoid the tedious and costly task of running a process using all possible combinations of variables. By systematically choosing certain combinations of variables, the Taguchi Method makes it possible to separate their individual effects. |
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