Manufacturers often excel at local management of quality and process improvements—but struggle to apply successes consistently across the organization. Centralizing data in the cloud delivers real-time visibility into plant floor data and enables you to apply strategic quality improvement opportunities that benefit the entire organization—and protect your brand.

Motivation for wanting to be an auditor is critical to be an effective auditor. I have concerns when someone expresses to me that “I am tired that this is not being done or everyone is getting away with this or that.” 

Smart manufacturing, like many other industry “smart” initiatives, harnesses a plethora of integrated people, process, and technological elements to drive successful value creating outcomes.

Regardless of the business you have customers and some of them are unhappy. Coping with these customers is an inevitable part of everyday business life and how you deal with them is a predictor of success.

Rube Goldberg is an American cartoonist well known for his illustrations depicting overly elaborate devices designed to accomplish relatively simple functions. These types of devices became widely known as Rube Goldberg machines.

There is a blur between the advances in metrology and the use of advances from other industries. But sometimes, combining the best of both worlds creates products that are simple for the operator to use while also being able to provide very complex measuring results.

Additive manufacturing produces parts layer by layer and this opens up an array of unique issues that can affect the integrity of a finished product, and also a unique set of surface characteristics that make the job of measuring and validating that much more difficult.

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. 

In the machine vision marketplace the term “AI” typically refers to deep learning platforms that enable industrial automation and inspection. To appreciate the value proposition of AI in this context, it’s helpful to understand how the technology has evolved over the past several decades.

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.