Vecna Robotics’ David Clear and SVT Robotics’ TJ Fanning go into reasons manufacturers might want to consider automation and AI. They also look at how to test assumptions and scale with so many variables changing moment by moment. The adage “change is the only constant” has never been more apropos. So, it’s a great time to hear what separates a complex system from a complex adaptive system.
Catalytic CEO Sean Chou explains the difference between process automation and robotic automation, as well as what it looks like to use automation to augment existing workflows. Importantly, he describes how manufacturers can use automation to do more with less—to lessen supply chain pressures that have grown because of globalization and the Covid-19 crisis. And he details which processes manufacturers can automate to optimize resources and productivity.
Respondents in a survey said supply chain planning drives better business performance.
Like most of the digital architecture of manufacturing, computer numerical controllers (CNCs) have advanced rapidly in recent years, producing far more processing speed and implementing advanced algorithms, while at the same time offering simpler, more intuitive user interfaces.
Edge. Cloud. Digital twin. AI. AR. VR. Cobots. Once they were buzzwords. Now, they are becoming technical realities in mid- to large-scale manufacturing plants in North America.
BLM GROUP USA announced on March 17, 2020 the enhancement of its E-FORM tube end forming machine with a fully CNC electric rolling device.
The IUPUI Mechanical Engineering Technology program concentrated on Mastercam and the online benefits of Mastercam University for its students. This approach paid big dividends on a unique Indy Car project for the Indianapolis Motor Speedway.
Software AG (Frankfurt, MDAX: SOW) announced an original survey of over 125 North American manufacturers in the heavy industry and automotive sectors that revealed they are unable to scale their Industrial Internet of Things (IIoT) investments across their enterprises, and therefore are losing millions of dollars in potential profits while falling behind competitors that have invested in enabling technologies that support IIoT across the enterprise.
Some of the key trends in manufacturing are brought about by convergence of the design and manufacturing industries. With manufacturers under more pressure than ever to deliver better products faster and at lower cost, the need to connect and automate design and manufacturing processes to reduce iterations, errors, and delivery times is becoming critical.
For decades, plant personnel have performed insulation resistance tests with handheld megohmmeters to prevent motor failures that lead to costly unplanned shutdowns, failure-to-produce penalties and rewinding repairs. However, these tests only provide a “snapshot” of motor health. In a matter of days, motor windings and cables exposed to moisture, chemicals, contaminants or vibration can be compromised and fail at startup.
