TUESDAY, MAY 22, 2018
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Posts Tagged ‘variability’

Dealing with SLAs and Visitors from “Outlier” Space

Information technology businesses can create better service level agreements (SLAs) by using a more scientific approach than just negotiating with their customers. Yet the method is not complex and it does not require a Six Sigma deployment.

Fixing Between-agent Variation Can Make All the Difference

Here is the good news: To help their call centers improve, managers need to solve just one problem – between-agent variation.

How Billing Delays Can Correlate with Call Volumes

By taking an unconventional approach to a call center problem, an organizational improvement specialist was able to find correlation between call volumes and bill mailings.

How to Explain and Understand Process Capability

Have you ever tried to explain the concept of process capability to someone and received a blank stare in return? Try using an analogy of driving different vehicle types on a highway under construction to explain the topic more easily.

Improved IT Project Forecasting Through Six Sigma

Variation in IT project cost forecasting can result in either underspent or overspent budgets. A Six Sigma approach applied to the IT project forecasting process minimizes variation in forecast accuracy resulting in dollar savings for the business.

Measurement System Analysis Resolution, Granularity

Use measurement system analysis to appropriately specify your data collection resolution. Measurement system analysis can also determine if results are biased and if variability is an issue in your data taking methods.

Reducing Variability With DOE

As a result of doing systematic experimentation, using sound statistical principles, the quality of processes can be improved and become more robust to variations in the levels of components and processing factors. Apply powerful design of experiments (DOE) tools to make your system more robust to variations in component levels and processing factors.

Reducing Variability with DOE – A Case Study on Propagation of Error (POE)

Applying powerful design of experiments (DOE) tools to make your system more robust to variations in component levels and processing factors, as evidenced by this case study involving the improvement of a paraffin therapy bath product.

Software Project Management Meets Six Sigma

Learning to reduce project duration can be critical, but it could be more important to reduce the predicted-to-actual project duration gap (the variation). That gap is a particularly familiar enemy in the software world, causing problems with project cost, disappointed customers, conflicts with management, development team morale, and more. This article identifies three ways to do so.

The Importance of Statistical Thinking

This article displays two case studies that illustrate that there is no set rule to understanding variation based on the order of Six Sigma tools used. Six Sigma Black Belts need to understand when to use each tool in business projects.

Variance Markers in Survey Design

The idea of bio-marking, a technique used to follow individual molecules around in the laboratory, can also be applied to survey design. By creating one item, which captures the overall meaning or 'bottom line' of a survey, we can examine its variance statistically as it interacts with other items and set the stage for leverage and resource allocation via multiple regression.

What You May Not Know About Adding Variances

Six Sigma instructors tell their students add variances, not standard deviations. What students may not have learned is that this additive property relies on the linearity of the transfer function.

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