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CESMII assembles a national Think Tank to advocate for the transformation of the U.S. manufacturing ecosystem

The U.S. auto industry has been automated for decades. Production of cars and trucks is associated with large, hulking robots fenced off from human employees. Inside those fenced off areas, tasks such as welding are performed. The industry, though, is advancing on the automation front.

On June 22-23, SME hosted a Smart Manufacturing Working Group meeting at Texas A&M University (College Station, TX) followed by an international workshop on Smart Manufacturing for the Factory of the Future.

The automation debate is a captivating one, but for some it conjures up images of a world where their roles become obsolete, superseded by the ruthless efficiency and unwavering energy of machines.

FANUC and Rockwell Automation formed a coalition to address skills gap issues with work and apprenticeship programs.

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.

There are two ways to tackle the skilled labor shortage: automate wherever possible or encourage a new generation to consider the manufacturing industry. Bowden Manufacturing of Ohio does both, with the help of industry partners such as Absolute Machine Tools.

SME, a non-profit professional association dedicated to advancing manufacturing, and CESMII – The Smart Manufacturing Institute, are partnering to drive smart manufacturing further and faster by aligning their resources and educating the industry, helping companies boost productivity, build a strong talent pipeline, and reduce manufacturers’ carbon footprint.

Fastems LLC has launched three new products to enable educational institutions and manufacturing enterprises to benefit from its advanced Digital Manufacturing (DM) solutions for factory automation. In addition to functioning as a classroom teaching and learning tool, DM enables companies to do training and testing before ramp-up and simulation during production.

The decision to adopt robotic automation for welding cells is getting easier every day. There are any number of manufacturing considerations influencing that decision, including quality, productivity, and consistency of the weld. Today, however, the key driver is the lack of skilled welders available to fill the requirements of shops both large and small.