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Worker training will be key to implementing Industry 4.0 in manufacturing, speakers at a presentation said today.

The most important step in digitizing any manufacturing or supply chain process is analysis of the ROI and business case and being able to demonstrate success to company leaders.

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.

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.

Erik Anderson, president and CEO of Basin Precision Machining LLC, has determined that setups are the root of all evil when it comes to manufacturing productivity. They cause part variations, downtime, and high-percentage scrap rates.

AP&T provides a case study of the work it did at a plant in Italy of Fiat Chrysler Automobiles (now Stellantis).

Claudia Jarrett, U.S. country manager at automation parts supplier EU Automation, explains why robots are more than affordable for small and mid-sized enterprises (SMEs).

Digitization and data dominated the discussion as EASTEC returned to West Springfield, Mass., after its 2020 pandemic hiatus.

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.

Whether transmitted through wires or the air, data collected from older factory devices can help a shop owner make smarter business decisions.