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).
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.
Lights-out metrology for inspection is a natural entry point into automation as it is less disruptive to implement than other manufacturing operations.
This year’s RAPID + TCT show signaled a new wave of users, with 35 percent of the audience being new to adopting additive manufacturing technologies.
Whether transmitted through wires or the air, data collected from older factory devices can help a shop owner make smarter business decisions.
SINUMERIK ONE digital-native CNC selected as the control of choice for new line of milling and turning production machines
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.