Statistics
Manufacturers can’t control tariffs, supply chain volatility, labor shortages, or geopolitical instability. But they can manage operational efficiency.
Operational excellence is one of the few factors that organizations can fully control. In challenging economic times, quality is…
Many practitioners have been taught to describe a process using sigma levels. Yet these levels are commonly misinterpreted. This article will help you to understand the problem and learn more appropriate ways of describing your process.
In the days before handheld calculators and…
Most data in business and industry belong to the category known as observational data. These data are the voice of your processes because they are the result of ordinary operations rather than an experiment.
Because the purpose of analysis is insight, the question is how to…
Performance indexes use the global standard deviation statistic to describe the past. Capability indexes use a within-subgroup measure of dispersion to characterize the process potential. However, some within-subgroup measures are better than others. This article will explain why you should not…
One of the principles for understanding data is that while some data contain signals, all data contain noise. Therefore, before you can detect the signals you’ll have to filter out the noise. This act of filtration is the essence of all data analysis techniques. It’s the foundation for our use…
When administrative and managerial data are placed on an XmR chart, the first reaction will frequently be that the limits are far too wide: “We have to react before we get to that limit.”
So what are we to do when this happens? Are the limits really too wide? There are three cases…