MONDAY, OCTOBER 22, 2018
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Posts Tagged ‘Graphical Analysis Charts’

Bar Chart

This simple tool is used to show the differences between different groups of process data.

Discriminant Analysis Can Minimize Returned Products

It is cheaper to scrap production inside the facility than to be charged for a complete assembly found defective by the customer. Use discriminant analysis to separate those units that are likely to fail as soon as they come off the production line. 

Experiential Learning of Lean Six Sigma with Marbles and Toy Cars

Conducting experiments using marbles and toy cars is a fun way for practitioners to teach students about the use of graphical and analytical tools, and also give them a better understanding of the Six Sigma mantra to “control x, then Y will take care of itself.”

Histogram

This simple tool is used to summarize and display process data in a graph.

Interpreting Anomalies Correctly Can Help Avoid Waste

Without the benefit of extensive project experience and strong statistical interpretive skills, a Green Belt or even Black Belt may improperly diagnose data anomalies, leading to poor decisions. Learning some quick analysis techniques can help.

Pareto Chart

A pareto chart is used to graphically summarize and display the relative importance of the differences between groups of data. Learn when it's appropriate to use a pareto chart, histogram and bar chart, and what the differences are.

Thinking Two Moves Ahead with Analytical Tools

A look at how two lesser-known tools – relations diagrams and systematic diagrams – can help identify root causes of problems and prepare practitioners for future changes.

Understanding Scatter Diagrams and Correlation Analysis

Six Sigma scatter diagrams and their correlation analyses often debunk management myths. Many times executives assume that measures vary together when they do not or do not vary in concert with one another when they do. For better or worse, budget forecasts are based on these assumptions. Knowing which factors do and don't vary together improves forecasting accuracy. Improved forecasts can reduce decision risk.

Using Blended Optimization to Quantify the Qualitative

Some large U.S. financial institutions have sought in recent years to develop risk-rating scorecards to help them become much more quantitative in how they evaluate and assign risks. Six Sigma can provide that path to better risk-rating scorecards.

Using Quadrant Plots to Improve Program Performance

When it comes to understanding discrete data, quadrant plots can provide visual clues for Six Sigma project team leaders as to where they should focus their efforts when measuring program performance.



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