When Things Go Wrong
The way we think about our process will shape the way we collect, analyze, and interpret our data when things go wrong. This in turn will shape the actions taken and the results obtained.
The Expanding Role of Design of Experiments in Modern Manufacturing
Manufacturers can’t control tariffs, supply chain volatility, labor shortages, or geopolitical instability. But they can manage operational efficiency.
The Problem With Sigma Levels
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.
Making Sense of Observational Data
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.
Capability and the Pooled Variance Statistic
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.
Find the Signals by Filtering Out the Noise
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.
But the Limits Are Too Wide!
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.”
The Recalibration Secret
Everybody wants to have good measurements. To this end, many recommend a regular schedule of recalibration. While this sounds reasonable, it can actually degrade the quality of the measurements.
Tips on Adopting 3D Scanning and Automation
C hallenges abound for today’s manufacturers. Labor shortages and rising labor costs require innovative solutions to maintain productivity with fewer staff. Inflation continues to exert pressure on raw material costs, squeezing margins.
Different Answers to a Common Question
The engineer came into the statistician’s office and asked, “How can I compare a couple of averages? I have 50 values from each machine and want to compare the machines.”