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.
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Robotics have come a long way since the first industrial robot was installed at General Motors. Denise Ebenhoech, Regional Head of Advanced Robotics Applications at KUKA Robotics, sits down with Chris Mahar, Associate Editor, to discuss recent developments within mobile robots. From cleans rooms to job shops to moving entire airplane assemblies, autonomous mobile robots are helping manufacturers succeed in today’s advanced manufacturing landscape.
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).
Diego Tamburini, principal industry lead for manufacturing in the cloud + AI division of Microsoft, reviews the impact of the COVID-19 crisis in manufacturing. He shares his thoughts about how the industry should respond—and lists the attributes of manufacturers best positioned to survive the crisis. Finally, he outlines new opportunities for developers of smart manufacturing software solutions under the “new normal.”
Eric Kam, Product Marketing and Community Manager for ESI Group will discuss the various flavors of digital reality available today. Virtual Reality, Augmented Reality, Mixed Reality are all discussed. But aside from games, dealership showrooms, and operator training which seem to be the bulk of applications discussed by the world as a whole, which technology is right for you? This podcast will help to define each of these technologies, compare and contrast, and learn which aspects of your organization’s goals can be addressed by the technology.
A whole new layer of insight can be harvested inside factories with the data you already have, today. Companies are sometimes holding back from leveraging sensors and tools like AI and deep data analysis that would allow for it because of cultural gaps between, for example, IT and OT. Ownership issues can also be a problem if some are, say, building devices vs operating devices. Paul Boris, EVP at Praemo fights against using red herrings like security concerns inside the same factory to continue down the same old paths that limit performance. He understands how seductive risk avoidance can be. And he speaks frankly about this and other issues with Brett Brune, editor in chief of Smart Manufacturing magazine.
East Iowa Machine Co. (EIMCo) in Farley, Iowa, is a full-service machine and fabrication shop. It is an ISO 9001:2015 certified manufacturing company, employing about 150 people on three shifts at its single 130,000 ft2 (12,077 m3) location, and converts raw metals into finished component parts and assemblies using a wide variety of CNC equipment and state-of-the-art manufacturing processes.
The impact of COVID-19 has changed the way we conduct business, and now, more than ever, illuminates the need for manufacturers to assess their processes and implement smart manufacturing technology.
Managing sensor performance has become a must-have for manufacturers. The advent and rapid adoption of IoT technology, enabling smart manufacturing systems, has created a two-fold scenario. Intelligent systems at once provide for near-real-time systems monitoring and create a new prediction problem.