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).
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.
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.
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.
Aerospace and defense sectors are emerging from the pandemic more resilient while other sectors, including automotive, struggle meet demand.
Argentina’s Sinteplast gave workers back their holidays and weekends with completion of a high-bay warehouse. The facility allows for 18,000 pallet positions on 23 levels that are scaled by speedy robots.
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.
CESMII – The Smart Manufacturing Institute said it added GE Digital to its ranks of partners and members.
Robots simply are not used as widely as they could be, due to persistent barriers.