It’s said that our imagination is what separates us from other animals. The ability to take what we imagine and make it real—to create something from nothing—is genius.

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 looking to improve throughput and efficiency can bring precision to their production with 3D measurement technologies. 

As the manufacturing industry increases its focus on quality control, and parts become more diversified and complex automatic measurement programming is on the rise.

Manufacturers often gather quality data to learn how to boost operational efficiency and enhance product quality. But, accessing and analyzing that data isn’t always straightforward. 

As manufacturers worldwide seek to enhance their machines and equipment with online connectivity—an example of the Industrial Internet of Things (IIoT)—they are realizing this technology’s remarkable potential. I

In all types of industries, machine learning (ML) tools are finding the needle in the haystack of data, augmenting quality and safety professionals with a new kind of intelligence that can unlock hidden data patterns that are impossible for the human mind or eye to absorb.

Brand appearance plays a significant role in consumer choice, and the manufacturer competes against larger players with much deeper marketing budgets.

Robot sales have surged over the last few years as companies in every industry recognize robotics and automation can help them compete globally. 

Auditors may not have a reputation for great comic timing and super sweet dispositions, but that’s where John Vandenbemden stands out. Meet our 2022 Quality Professional of the Year.