

Six Sigma, an overview
In six sigma data is extremely important.Numbers, ratios, percentages and other data are what drives the entire system.The theory is that the data can reveal the defects in the process and steps can be taken to improve.The use of statistics is important in the Six Sigma process.Mathematically, the goal of Six Sigma is to drive towards six standard deviations between the mean and the nearest specification limit.The numbers needed to complete this calculation are derived from statistical representations of how a process is performing.Six standard deviations is equivalent to no more than 3.4 defects per million opportunities.The Six Sigma process is a process by which objectivity can be gained because ultimately either the math is going to tell you where you stand. Six Sigma improvement projects are what are used to eliminate wasted time and materials in their many forms. This is accomplished through the use of two Six Sigma submethodologies that are called: DMAIC and DMADV. The Six Sigma DMAIC process (define, measure, analyze, improve, control) is an improvement system for existing processes that fall below what an acceptable expectation is and that can be improved incrementally. The Six Sigma DMADV process (define, measure, analyze, design, verify) is an improvement system used to develop new processes or products, rather than simply fixing existing substandard processes. It can also be employed if a current process requires more than just incremental improvement, but instead a complete change and reinstatement of a new process is required.There are individuals who train to become qualified for the positions of teaching in these processes.Only those individuals who have the correct qualifications can be masters of implementing a set string of Six Sigma ideas. Implementing Six Sigma, as was eluded to earlier, is a process that can be quite lengthy.
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