Simple changes to how you use color measurement technology and the right training can significantly impact quality control and your bottom line. Here are seven questions every quality control manager should be asking.

Reverse engineering as a term is adopted by many industry subsets. From genetics, computer code, complex PCBs (printed circuit boards), and even military espionage. In this article, we are specifically relating to a metrology-driven process steered by high-precision 3D data acquisition tools. 

It is crucial to hit the right color tone in the production process and to produce it homogeneously across numerous batches. Color not only leaves an impression of quality, but can also be used as an indirect variable to control the process.

When RYE explored ways to improve the accuracy, integrity and throughput of its precision measurement data, the decision to deploy DataSure® 4.0, the industry’s latest data acquisition solution developed by The L.S. Starrett Co. of Athol, MA, boiled down to — you guessed it – seconds.

Manufacturers often look at collaborative robots, or cobots, as an ideal way to enhance production efficiency, with human workers and automation working closely together.

Color is a critical part of any product. It’s the first thing your customer sees. Whether you are manufacturing components for assembly or finished assembled goods, the color has to be right every time or you risk scrapping, reworking, or discounting the product. This impacts your bottom line.

For their dedication to quality, Larsen Manufacturing (Mundelein, IL) has earned our 2022 Quality Plant of the Year award.

With robot vision guidance systems, both 2D and 3D, flexible material handling is made possible for industrial production and warehousing.

When Donald Engineering sales manager Jim Kortman describes his aluminum extruder client of 28 years, he reaches for a deceptively simple analogy: the Play-Doh Fun Factory. 

When faced with potential reliability issues, original equipment manufacturers must quickly find the root cause and determine the risk for other equipment still operating in the field.