Statistics
Outliers are values that don’t “fit in” with the rest of the data. These extreme values are commonly considered a nuisance when we seek to summarize the data with our descriptive statistics. This article will show how to turn these nuisances into useful information.
The earliest…
In an age where data are among the most valuable assets for any business, the ability to retrieve, process, and utilize information efficiently is critical for success. Yet traditional data-retrieval methods often struggle with the demands of today’s dynamic business environments. Enter…
The Man of La Mancha never got to the unreachable goal—and if you’re being judged by overall equipment effectiveness (OEE), then your manager may also be dreaming an impossible dream. This column will look at problems associated with the use of OEE values.
OEE is a value often…
In last month’s article, “ANOVA and the Process Behavior Chart,” we saw how both techniques use the same basic comparison to answer completely different questions. Here, we’ll look at a case history where both techniques were used.
A physical property of a mass-produced item was…
Recent labor relations controversies and ongoing arguments about the minimum wage have raised questions as to how a supply chain should share the utility it produces.
If we ask the wrong question, however, we’ll get the wrong answer. “What is a fair share?” asks how a supply chain…
When Sir Ronald Fisher created the analysis of variance (ANOVA) in the 1920s, he extended the two-sample t-test to allow the comparison of k sample averages. During the same time period, Dr. Walter Shewhart was creating the process behavior chart. So it should be no surprise that both techniques…
