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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.

John Deere’s Eric Johnson discusses the company’s additive manufacturing journey—with an eye toward helping small and medium businesses get going in AM. Learn about the early days of getting one of the first AM parts, as well as unrealistic expectations of the technology and how John Deere is creating value with the technology today. Finally, Johnson provides tips on unlocking the value of AM for your business in five key applications.

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.

Turning to software over paper reports does more than just save trees. Chris Mahar, Associate Editor of Manufacturing Engineering, talks with David McPhail, President and CEO of Memex Inc., about how manufacturers can utilize technology to improve efficiency, reduce downtime and boost productivity and profits across their business.

Getting fast, accurate data delivered to the palm of your hand is helping drive demand for enterprise resource planning (ERP) software. With the popularity of smartphones and tablets, manufacturers are capitalizing on the ability to get critical factory operational data from ERP, manufacturing execution systems (MES) and enterprise manufacturing intelligence (EMI) applications into the hands of the right decision-makers in a timely manner.

A self-described “river rat” during his teenage years, Herbert B. Voelcker grew up in the small town of Tonawanda, NY, just north of Buffalo, where as a young man he grew to love the water, boats, and steam engines. His early fascination with how things worked eventually led him to study mechanical engineering at the Massachusetts Institute of Technology (Cambridge, MA), and to embark later on a greatly varied technical career highlighted by his research into the mathematical foundations for 3-D solid modeling.

M. Eugene Merchant began his career in 1936 at the Cincinnati Milling Machine Co. (later Cincinnati Milacron), where he went to work analyzing the nature of friction between the cutting tool and the chip. The young engineer eventually developed a mathematical model of the metalcutting process that is still taught and used today.