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Can small and medium-sized manufacturers, Tier 2 or Tier 3 guys, use all-digital descriptions of part orders, dispensing with paper specifications and supplemental drawings to efficiently deliver parts?

The COVID-19 black swan event disrupted the global economy and forced companies to rapidly rethink their processes, operations and supply networks.

The current COVID-19 experiences have energized many conversations about our futures in the post-COVID world, and that includes the future of manufacturing.

Many process manufacturing companies are on the path to digitization and have piloted analytics to improve operational performance and improve their competitive edge.

Long gone are the days where the only solution to human error was human correction. As engineers today, we have access to smart technology that no other generation could have ever imagined.

Industry 4.0 is often presented as a complex, somewhat overwhelming topic that involves large companies only. However, the data collection and transfer at the heart of Industry 4.0 can be as relevant to job shops and other small to medium sized enterprises as large companies.

To get to smart manufacturing, the industry needs integration, simulation and analysis.

With a single example, Ira Moskowitz makes the case for why the organization he leads may be critical for advancing manufacturing in the United States.

In an announcement orchestrated from Barcelona, California-based HP in June announced an expansion of its 3D printing business.

If you ask any number of manufacturers exactly what they felt the first time they crashed a stationary machine tool or dropped portable measuring equipment, you’re bound to get a range of answers—though dread, terror and even nausea will almost certainly be on the list of responses.