Boeing Co. today reported a record annual loss of almost $12 billion as it dealt with the 737 Max crisis and a slump in demand for air travel.
As one of the oldest and most prestigious research-lead universities in Europe, KU Leuven is an institution that is always seeking to innovate and stay on top of the latest trends and technologies. When it comes to manufacturing, the institution is an advocate of additive processes and dedicates a research group to the technology.
Vollmer of America has announced an Open House Celebration for its new facility in Findlay Township, Pa., scheduled for Oct. 22-23. Vollmer broke ground on May 11, 2019 at the new site, near Pittsburgh International Airport.
Before harmonizing new technology onto the manufacturing floor, critical steps include determining the business problems to be solved and securing buy-in from all stakeholders, industry leaders said recently during an AeroDef conference panel talk on manufacturing production harmonization.
FANUC has made real one of the promises of Industry 4.0, that of predictive maintenance for factory equipment, with its Zero Down Time IoT solution. ZDT can be applied to any of FANUC’s robotic arms and their peripherals.
Engineering information is both pervasive and essential within manufacturing plants. And, it changes constantly as a result of maintenance-related adjustments, alterations in plant processes, or the swap-out of components.
In my capacity as the Chair of the Council of the Manufacturing USA institute directors, I often get asked about trends in U.S. advanced manufacturing.
Much has been written about potential applications for 5G. But a less well known application exists in the aerospace and defense industry—that pertains to manufacturing processes.
Marshall Aerospace and Defence Group is now using 3D printing from Stratasys to manufacture flight-ready parts for several of its military, civil and business aircraft—while producing specific ground-running equipment at a lower cost than aluminum alternatives.
The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.
