In manufacturing, process consistency is key. But consistency can be elusive— after all, variables that cause variation can be endless. Unfortunately, variation inevitably leads to defects. That’s why the right monitoring system matters.

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Manufacturers use statistical and rule-based analysis of manufacturing data to better understand and improve their processes. They also use it to pinpoint and strengthen best practices, react quickly, and foresee potential problems before they disturb product quality, yield, or cost.

Manufacturers need proper automation, machines, and software to manufacture products faster and keep up with evolving customer demands. As production capacity increases, these businesses must boost their quality control capacity while reducing quality costs. 

A world leader in rubber compounding needed to meet increasing customer expectations and heightened sustainability recommendations while continuing to grow and improve their business.

How LVHN used Lean Six Sigma tools and Minitab statistical analysis to achieve improvements in patient-centered care.

Vision systems provide peace of mind when it comes to production quality but they can also generate valuable data that tracks process variability. Diving into the world of vision data can seem overwhelming, but with the right tips and tricks you can set up a system to work for you.

Real-life quality problems are conundrums. Dorian Shainin realized that recognizing the distinctive characteristics of a problem was critical. He also knew that applying the right tactics was the key to the solution; however, many of the analysis tools of his time were not effective.

I recently attended a lecture by an industrial statistician. Part of the lecture included a summary of Dorian Shainin’s body of work. I had to smile as the lecturer spoke about Shainin’s “exaggerated claims” of the results attributed to his methods and his infamous “pre-control.” 

Many statistical analyses and p-values assume that your data follow a normal distribution. However, normally distributed data isn’t always the norm. So, what’s a good data analyst to do?