To get to smart manufacturing, the industry needs integration, simulation and analysis.
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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.
The COVID-19 black swan event disrupted the global economy and forced companies to rapidly rethink their processes, operations and supply networks.
Smart manufacturing is now being rapidly adopted by a much wider range of business sectors.
In Donald, Ore., 24 miles south of Portland, GK Machine Company Inc., is manufacturing parts for heavy agricultural equipment such as harvesters, sprayers, tree diggers, and hose reels.
The new Metrology Gate portal from LK Metrology provides remote access to information of connected metrology devices
IIoT expert Steve Jones who will speak Oct. 29 at “The Best of SMX” (smxevent.com), describes in detail the Industrial Internet of Things (IIoT), as well as AI/machine learning and other promising technology for manufacturing’s future. Like with many things in life, it is important to set goals first, the Steelcase executive says. Not sure where to begin with IIoT? Never fear: Jones has the answer.
Listen to this Smart Manufacturing magazine article: Pandemic makes case for more automation, robotics. Outbreak poised to prompt changes in the way manufacturers use automation.
Craig Zoberis and Davin Erickson detail how Fusion OEM discovered and implemented collaborative robots, or cobots. The company is now investing in future expert machinists by using cobots—and making headway in closing the manufacturing industry skills gap. They explain the phases of training for cobots, as well as how cobots “talk” with other machines—and how machines perform “handshakes” (and are therefore envied by humans who today are struggling with social distancing).