Six Sigma is about numbers. Six Sigma produces a flood of data about your process that are critical to your success. If you don't measure it and understand what you are measuring, you can't manage it. Six Sigma's clear strength is a data-driven analysis and decision-making process — not someone's opinion or gut feeling.
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.
Software For Six Sigma
Software is a set of programs developed using various programming languages. The software programs may be developed for the purpose of reservation of air tickets, calculation of various bills, accounting processes and so on. Sometimes software has some drawbacks or it may not have a certain functionality that is expected of it to work perfectly. These are usually bugs in software and they need to be fixed. But a better solution is to avoid such errors in the beginning of the software development stages, so that there are minimal errors. This is precisely what Six Sigma methodology enables companies to do.
For instance, a software bug in a program like a restaurant waiter's terminal could manifest itself in different ways. It could assign the food to the wrong group of guests, or cause the kitchen to get an incorrect order, or even miscalculate the bill total or the taxes under certain circumstances. One could imagine the dire results of such software bugs.
Generally speaking, there are two types of software bugs - programming bugs and data bugs. Programming bugs are more difficult to discover because they are usually of the logical error type. The program will need to be modified and the code recompiled before it can be used again. Data bugs are more easy discovered and isolated, as they mainly occur because of errors in tables.
Employing Six Sigma culture into the software development process can help overcome these errors by mistake proofing. Various controls can be used to proof data bugs. If there were certain minimum charges or parameters for a specific reason, then any value below the minimum would be an error. Putting a control mechanism in place at this stage helps to minimize the bugs. Using Six Sigma can be invaluable for software development projects.
Though not all logical errors can be controlled, there are some areas where some care can be taken. Software projects are undertaken after collection of data regarding a problem area. Six Sigma is also a data-driven methodology. Using the tools and techniques of data collection of Six Sigma for these projects, it can be ensured that the data collected is correct to the maximum extent. When developing the software program, the areas that have been identified during the data collection time as reasons for the problems can specifically be crossed checked and flagged for mistake proofing the program. With a control mechanism in place, when the program reaches the testing stage, these areas, which may be the causes for bugs can be identified easily and modifications could be made. By using Six Sigma to fix the bugs that crop up in software programs, it is possible to reduce losses that occur from such bugs to a large extent.
Both Peter Peterka & Craig Calvin are contributors for EditorialToday. The above articles have been edited for relevancy and timeliness. All write-ups, reviews, tips and guides published by EditorialToday.com and its partners or affiliates are for informational purposes only. They should not be used for any legal or any other type of advice. We do not endorse any author, contributor, writer or article posted by our team.
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