Six Sigma is about numbers. Six Sigma produces a stream of data about the processes that are critical to your success. If you do not measure and understand what is measured, you can not manage. Six Sigma is the clear strength is a data-driven analysis and decision making - not someone's opinion or instinct.
The value of statistical analysis can not be underestimated. By analyzing all these data, one begins to understand the process and the developmentTo identify and implement ways to improve the best solutions for the process. Statistical analysis of data shows the main areas that can have a negative effect on product quality, if not controlled. After identifying these key areas, you can focus your efforts on process improvement
Given the importance of intelligent management of all these data, it is necessary to find an efficient and powerful crunching the numbers. Obviously you want to avoid the hassle of manualCalculations and save a lot of time using statistical software application. One might be tempted to Excel or another spreadsheet program as a calculator and a database in order to use the statistical process control data storage. However, you will soon discover that a basic spreadsheet too cumbersome for the volume and complexity of data management and analysis you need to run a Six Sigma project is managed.
The advanced statistical software such as Minitab(Http: / / www.minitab.com/) or Statgraphics (http://statgraphics.com), are very useful, although not necessarily collected for the collection, categorization, assessment and data analysis during a Six Sigma project. Both Minitab and Statgraphics are powerful and independent complete statistical process control application software for performing statistical analysis. Both can be highly recommended for Six Sigma, as tools that allow you to use one of the biggest advantages of six sigma are: the ability toto make better decisions, based on data. You will work with the DMAIC Define-Measure-Analysis-Improve-Control and Lean Six Sigma.
Both Minitab and Statgraphics philosophy Six Sigma offers a range of tools to support the graphical analysis, collecting powerful statistics, quality research with the potential for a number of customized applications.
Statistical process control charts
Analysis of variance and regression
DesignExperiments
Matrix and factorial plots
The relationships between the variables
Life Data Analysis and Reliability
Process Capability
Hypothesis testing
Correlation and regression
Time Series Analysis and Forecasting
Measurement Systems Analysis
Regression analysis
Multi-variation analysis
ANOVA tools and techniques
Evaluation of the Six Sigma quality
Both applications offer near real-time statistical data,so you can react quickly to prevent further damage. The statistical analysis has identified key areas for process improvement are at the center, which may adversely affect product quality, if not controlled.
But while it's easy to purchase a statistical software, it is difficult to use effectively. And 'the intelligent analysis of data that create real change. Too often gather for Six Sigma / DMAIC teams and loading data into Minitab or Statgraphics onlyfind themselves overwhelmed by the prospect, where to start and how to use their new tool to analyze their data successfully, which is not only answers, but answers meaningful and useful. As a result, Six Sigma / DMAIC are often far below the expectations of productivity associated with statistical software.
Training in the use of Minitab is often associated with Six Sigma training is integrated offering. Minitab training will focus on solving practical problems with Minitab. Thisincludes learning the practical aspects of the main statistical tools such as control charts, capability, regression and ANOVA. There is a strong emphasis on learning how to get the data into Minitab learn to manipulate the data once in Minitab, and to learn the main results from the data graphically. Proper training can learn to drive like a professional and therefore more Minitab statistical power for your Six Sigma projects.
0 comments:
Post a Comment