3.4 per Million: It’s a Marathon, Not a Sprint
Six Sigma practitioners like their successes swift, large and final. Nature and circumstance, however, are rarely that kind. Normally, success is secured one step at a time....
Example Calculations Part I
Simple linear regression equation is of the form Y = mX + b....
Example Calculations Part III
Quantity (6), the sum of the squared residuals, is a summary measure of how well the model fits. Other things being equal, small values of (6) are preferred to larger ones....
Example Calculations Part II
A 95% confidence interval does not mean there is a 95% chance the particular interval you calculate captures the true value....
3.4 per Million: Test Drives and Data Splits
Prediction models are one of a Six Sigma practitioner’s best friends for improving processes. The more complicated and persistent the quality problem, the more useful prediction models can be....
3.4 per Million: Assessing the Effectiveness of Controls Under Uncertainty
Sequential sampling and logistic regression techniques offer useful strategies....
3.4 per Million: Measurement System Analysis For Attribute Measuring Processes
To rephrase an old management proverb, "What gets measured can be improved." Six Sigma practitioners quickly come to appreciate the critical role of good measurement systems in initiating and sustaining process improvement. A good measurement system...
When Your Process Has Runs, Trends and Cycles
As a Six Sigma practitioner, you sometimes work with processes that have memory, in which the value observed at some earlier time partly influences or determines the current value....
Resume Prose From the Pros?
One sure thing I know about being in the same place for five years is how easily a resume gets out of date....
Column: DOE and Six Sigma
Design of experiments (DOE) is a powerful tool for improving processes as part of a Six Sigma program....
Smart Project Selection
Narrow your list of improvement projects with outlier techniques
There are many statistical techniques for identifying outliers, but the two I will discuss here are a graphical tool known as a box and whisker plot and a version of a test called Dixon's outlier test. (Note: Box and whisker plots are often drawn to show ...
Column: Frontiers of Quality: Smart Project Selection
If proposed projects are evaluated numerically from 1 to 100, selecting the very best projects may lead into a situation where outliers must be identified. The author discusses a graphical tool known as a box and whisker plot and a version of a test...
Column: Frontiers of Quality: Control Charts and Administration
Extend the use of traditional quality tools to all areas of your organization
How to use control charts in an administrative...
