NextFlex, formed in 2015, facilitates innovation in flexible hybrid electronicds—an emerging technology—and fosters domestic manufacturing of them, including workforce development.
Epicore partnered with PepsiCo to develop and manufacture a wearable sweat analyzer device and branded it with the name of the food and beverage giant’s sports drink. The Gatorade Gx Sweat Patch and App system is marketed to athletes and fitness enthusiasts.
Smart manufacturing is transforming A&D manufacturing as more companies adopt automation, artificial intelligence and robotics. Some manufacturers are also focusing on eliminating so-called islands of automation and integrating the technology across entire processes.
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.
Chuck Mathews, executive vice president, CMO, CTO ESPRIT CAM, part of Hexagon Manufacturing Intelligence, discusses the latest software trends.
LIMS—the Low Investment Manufacturing System—is an unassuming little box consisting of a computer with proprietary Solution Engine software and an I/O hub that plugs into a standard outlet. When wired at the edge of a piece of production equipment, it becomes a simple solution for collecting and sharing complex sensor-derived data.
Feature-based Product Line Engineering refers to the engineering of a portfolio of related products using a shared set of engineering assets, a managed set of features, and an automated means of production.
The three keynote speakers of HOUSTEX, EASTEC, SOUTHTEC and WESTEC—the Manufacturing Technology Series—offer perspectives pertinent to manufacturers in general, but of particular use to small and medium-sized manufacturers.
Around the U.S., the major manufacturing regions are taking stock of the fallout from the pandemic and how they can navigate out of the lockdowns in 2020 to thrive once again.
In the AI world, fear is driven by unfamiliarity with the process, the professional impact of failure and the daunting tasks of pulling together all of the people and perspectives required just to get started. Here are three key lessons learned from our work with Rolls-Royce and Gulfstream that will clear your AI project for takeoff.