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Like the United Nations’ international delegates who use interpreters to understand each other, robots, machines and other industrial components from various vendors speak different computer languages and need translators to help them communicate.

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.

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

When designers at Siemens started using virtual reality (VR) to quickly evaluate early-stage ideas, the usually slow and costly design-and-iteration process went from days and hours to minutes.

Until just a few years ago, if a vehicle maker wanted to test the process for making a newly designed composite part at full scale, the company’s R&D engineers would call one of its Tier Ones and ask to schedule a trial run on the composites fabricator’s machines during off hours.

In a recent demonstration of the vendor-agnostic Smart Manufacturing Innovation Platform (SMIP) from CESMII, project partners first helped managers of North Carolina State University’s water purification plant get off the dime and analyze the data they were collecting with smart instruments.

One of the biggest challenges that any shop faces in 2020 is finding skilled workers to backfill those baby boomers who are retiring, or simply finding staff to meet the demand of a healthy manufacturing economy.

The COVID-19 crisis caught all of us off guard and interrupted global systems in a way not experienced in recent memory.