Statistical Software with Six Sigma by Peter Peterka
The value of statistical analysis cannot be underestimated.
Through an analysis of all of that data, you begin to understand
your process and develop methodologies to identify and implement
the right solutions to improve your process. Statistical
evaluation of the data identifies key areas which can have an
adverse effect on product quality if not controlled. Once you
have identified these key areas you can focus your process
improvement efforts
Given the importance of intelligently handling all of this data,
you need to find an efficient and powerful method of crunching
the numbers. Naturally, you want to avoid the drudgery of manual
calculations and save a whole lot of time by using a statistical
software application. You may be tempted to use Excel or another
spreadsheet application as a calculator and database to store
your statistical process control data. However, you will quickly
find out that a basic spreadsheet is too cumbersome to handle
the volume and sophistication of the data keeping and analysis
you need to perform in a Six Sigma project.
Advanced statistical software such as Minitab
(http://www.minitab.com/) or Statgraphics
(http://statgraphics.com), are very useful if not essential for
gathering, categorizing, evaluating, and analyzing the data
collected throughout a Six Sigma project. Both Minitab and
Statgraphics are powerful full standalone statistical process
control software applications for performing statistical
analysis. Both are highly recommended for Six Sigma use as they
are tools that can help you utilize one of Six Sigma's biggest
advantages: the ability to make better decisions based upon
data. They will work with the DMAIC
Define-Measure-Analyze-Improve-Control methodology and Lean Six
Sigma.
Both Minitab and Statgraphics are designed to support the Six
Sigma philosophy offering a range of tools for graphical
analyses, collecting powerful statistics, quality analyses with
potential for a range of custom designed uses.
Statistical Process Control Charts Analysis of Variance and
Regression Analysis Design of Experiments Factorial and Matrix
Plots Relationships between variables Life Data Analysis and
Reliability Process Capability Analysis Hypothesis Testing
Correlation and regression Time Series Analysis and Forecasting
Measurement Systems Analysis Regression Analysis Multi-variation
analysis ANOVA tools and techniques Six Sigma Quality Assessment
Both applications provide you with nearly real time statistical
data, enabling you to respond quickly to prevent further
defects. Statistical evaluation of the data identifies key areas
to focus process improvement efforts on, which can have an
adverse effect on product quality if not controlled.
However, while it is easy to purchase a statistical software
application, it is harder to use it effectively. It is smart
analysis of the data that create real change. All too often, Six
Sigma/DMAIC teams collect and load data into Minitab or
Statgraphics only to find themselves overwhelmed by the prospect
of where to start and how to use their new tool to successfully
analyze their data that comes up with, not just any answers, but
meaningful and useful answers. As a result, Six Sigma/DMAIC
projects often fall far short of the productivity expectations
associated with statistical software.
Training in use of Minitab is often offered integrated with Six
Sigma training. Minitab training will focus on solving practical
problems with Minitab. This includes learning the practical
aspects of major statistical tools like Control Charts,
Capability Analysis, Regression Analysis, and ANOVA. There is a
strong emphasis on learning how to get data into Minitab,
learning how to manipulate data once in Minitab and learning how
to display graphically major findings from the data. Proper
training will teach you how to drive Minitab like a pro and thus
bring greater statistical power to your Six Sigma projects.
Peter Peterka is President of
Six Sigma us. For additional information on Six Sigma Master Black Belt or Minitab
Training programs contact Peter Peterka http://www.6sigma.us/
About the author:
Peter Peterka Peter Peterka is the Principal Consultant in
practice areas of DMAIC and DFSS. Peter has eleven years of
experience performing as a Master Black Belt, and has over 15
years experience in industry as an improvement specialist and
engineer working with numerous companies, including 3M, Dell,
Dow, GE, HP, Intel, Motorola, Seagate, Xerox and even the US
Men's Olympic Team.