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The Six Sigma model prevents process variation because variation hampers a process’s ability to reliably and consistently deliver high-quality products or services.
The Six Sigma toolbox consists of a wide range of tools that include simple and commonly used tools such as flowcharts, Pareto analysis and diagrams, and more advanced statistical tools such as the design of experiments, regression analysis. One such advanced tool is DOE in six sigma.
The DOE in Six Sigma allows quality teams to study several potential causes of process variation simultaneously. DOE is used to model the X’s (independent variables) concerning Y’s (Variable dependent data). In simple terms, it allows the team to project the effects that the inputs of a process would have on the final output.
Six Sigma follows a DMAIC model consisting of steps: Define, Measure, Analyze, Improve, and Control.
DOE is mainly used in the Analyze and Improve stages of the DMAIC model, the Analyze stage (to analyze the data points) and the Improve stage (to create and evaluate probable solutions).
Potential Solutions | Goal | ||||
Number of Applications | Type | Description | Example | Counter Example | Percentage of Completed Applications |
1 | Loan | Old | Old | No example | X |
2 | Health Insurance | New description added in the form | Yes | Yes | an Increased number of applications. |
. | |||||
100 | Loan | New | Yes | Yes | After applying these solutions it grew from X |
Once the factors have been identified, the team must determine the parameters. With more levels identified for each element, the more trials it will take to test those levels. The more significant the difference between the factor levels, the easier it becomes to measure the variance.
The number of runs (treatments) depends on the number of resources that can be accommodated, such as time and money. Remember that repetitions are ideal for helping validate results and help detect any unexpected results.
Design Of Experiments Six Sigma allows you to modify inputs to determine how they affect responses. Instead of testing one factor at a time while keeping the others constant, the DOE reveals how interrelated factors react over a wide range of values without directly verifying all possible values. This helps demonstrate the causes behind the different factors and levels in a process and allows the team to understand the process much faster.
When completed, the Design Of Experiments helps the Six Sigma project team identify the combination of inputs better. DOE in Six Sigma consultants, such as Arrowhead Consulting in India, ensures that your DOE in Six Sigma goals is attained, which leads to the highest quality product or service.
ARROWHEAD is a consulting services firm with emphasis on reducing all LEAN wastes and improving consistency through Six-Sigma concepts.
By reducing Lean waste, you can remove all non-value added activities thereby improving speed of reaching your customer at better margin and by improving consistency you are able to meet customer demand in terms of quality expected.
We are based in Mumbai, India with clients spread across USA, UK, India and S.E. Asia.
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