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.
AP&T provides a case study of the work it did at a plant in Italy of Fiat Chrysler Automobiles (now Stellantis).
As cobots work their way into machine shops, users are finding many new jobs for them.
SINUMERIK ONE digital-native CNC selected as the control of choice for new line of milling and turning production machines
Reverse engineering is becoming multifaceted and complex. The key drivers: new metrology sensors and more capable software, enabled by ever more powerful and cheaper computing.
Applications for flexible hybrid electronics in aerospace and defense exist in environmental monitoring, biomedical assessment, security, communications, energy generation and storage, computation, supply chain management and asset sustainment.
The COVID-19 pandemic clearly proved challenging to the manufacturing industry in myriad ways. Now, as nations and industries begin to navigate their way forward as restrictions are lifted, manufacturers have an opportunity to put into practice some lessons learned.
Artificial Intelligence combined with endless cloud computing resources means more machine involvement and a faster progression to end-to-end automation for manufacturing plants.
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.
CAM Software helps Molrio deliver tire molds.