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Lights-out metrology for inspection is a natural entry point into automation as it is less disruptive to implement than other manufacturing operations.

Making operators and process designers better informed in real time, with a focus on making intelligent decisions with enhanced data, is the key to updating U.S. aerospace and defense manufacturing capabilities.

An intelligent and highly flexible transport system enables a wide variety of production steps to be flexibly combined in a modular, powerful and versatile machine for the assembly of automotive fuel lines.

Ted Ellefson from Seagate Technology shares insights into using data and analytics for smart manufacturing.

Discussion around the technologies in data analysis for Smart Manufacturing.

How to step on the gas with regard to the long-planned digital transformation in manufacturing? Jaci Sager, VC Portfolio Manager at Caterpillar, and Paul Boris, Chief Revenue Officer at Praemo, have some answers. For teams that are seeing success, is it the technology they chose? Is it the leaders tasked with facilitating it? Or is it some combination of both? The answer might seem obvious, but the path is not.

(Narrated Smart Manufacturing magazine article)

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.

Why don’t more manufacturers in the United States use smart manufacturing technologies like AI and machine learning to reduce waste, achieve predictive maintenance and enhance their automation systems? Five CESMII roundtable panelists share their insights.