DOQS SIX SIGMA SERIES
Six Sigma Improvement II
This course emphasizes the more quantitative interactions of Six Sigma tools and techniques across the improvement lifecycle, with particular emphasis on the Measure and Control phases. Without this additional level of quantitative capability, too little control is placed over a project and its resulting process to assure that improvements are both real and sustainable. (This additional quantitative aspect is what largely differentiates Six Sigma from TQM.) This course results in learners reaching the level required of DMAIC Green Belt certification in many organizations. (4 days, $20,000, Prerequisite: Six Sigma Improvement I)
Lifecycle Coverage (DMAIC)
This class builds on the concepts and techniques covered in the Six Sigma Improvement I class by adding detail and depth to the coverage provided in that class. This doesn't necessarily mean the topics are more difficult, although some are. Primarily, this class supplements the material from the previous class by making it much more quantitative and controlled, allowing the lessons learned in the previous class to be integrated into a more coherent and rigorous whole process model.
Define Phase - The definition of both a project and the target process are differentiated further so that issues and concerns can be attributed more specifically to one or the other, and increased emphasis is placed on defining problems in terms of defects levels and sigma score expectations.
Measure Phase - Process steps and measurements are defined to much lower levels of detail, and emphasis is placed on a full underdstanding of the factors that drive variability within and across steps. Correlations become sufficient to identify inputs as critical to quality. Also, a broader range of qualitative and quantitative data is collected about the process.
Analyze Phase - Failure mode analysis is supplemented with more cause and effect analysis in order to define a wider range of possible control and improvement opportunities.
Improve Phase - Improvement suggestions become more quantitative as experimental design becomes a driver in the prioritization and selection of improvement functions and features. More emphasis is placed on the definition and deployment of standard procedures.
Control Phase - More quantitative options are used in defining controls against teh new process maps, with special emphasis on achieving new levels of statistical controls over an extended period of time. Management visibility of quantitative controls is emphasized.
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