Sigma, the word that the core of this process is formed from the Greek alphabet was derived and used to represent the standard deviation of a population . The term Six Sigma comes from the belief that if we limit to six standard deviations between the model specifications and the average, there is little or no position that the specifications are not met. This study is based on the calculation model, which is a study of the treatment capacity, the number of standard deviations that occur between the mean and the nearest specification is used in Sigma units, is based. What happened here is that once the standard deviation increases, fewer standard deviations will limit his place between the specification and the closest to the mean, which can decrease Sigma series.
It was investigated that do not conduct long-term process, so do the number of the sigmoid colon, which are between the process and the next threshold would decrease over time. It is just this increase in volatility of real life in the first time that empirical base 5 Sigma change was introduced in the Six-Sigma-bill. It is this idea that the process that the process came the closest and in a way to limit short-term study on the long fourth Fit 5 Sigma. This study eventually lead to the commonly accepted definition of Six Sigma process, which produces 3 April defective parts per million opportunities. In summary we can say that Six Sigma is 4. 5 Sigma to Six Sigma that less than 1 5 sigma shift introduced to account for is the change in the long term.
In principle, the Six Sigma process is very specific, because they clearly defined the steps and methods used. In this method, a defined problem, then the team of Six Sigma is to take steps for a solution that can result in financial gain. The projects form the core of Six Sigma includes data, measures and decisions on facts. The Six Sigma process includes five steps, which are listed below.
· Definition: In this step, the problem is stated in very clear terms. It is very important to find the cause right now, so that steps can be taken to measure improvement.
: The data covers a range of subjects is collected during this phase. For E. g., In case of manufacturing, these data would take action of a specific product, such as size, weight, size or other attributes. To ensure that sufficient information to ensure statistical validity, it is important to collect data from multiple samples.
• Analysis: This phase is for statistical analysis and scientific data, which are then presented as graphs and charts. In most organizations the software is used to create these images.
· Improvement: At this stage, it is time to make improvements to the information collected to office. This could be something really little more complex spectrum.
· Control: This is the stage where further improvements are included in the methods used by a company to ensure they meet certain requirements.