AI software enables the company to capture relevant runtime metadata and put it into context to create useful information in real time.
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.
Smart mechatronics offers greater intelligence, more efficient operation and a modular approach to delivering complete systems.
To raise the bar on the status quo in unlimited hydroplanes, Ellstrom Racing started Five-Axis Industries, which in the beginning was essentially a hobby shop specializing in five-axis machining to make difficult-to-manufacture parts from hard metals, including titanium and stainless alloys.
Preventive maintenance is essential for manufacturers to reduce downtime—and the vast amounts of data being produced by plants can be effectively used for predictive maintenance.
Whether transmitted through wires or the air, data collected from older factory devices can help a shop owner make smarter business decisions.
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.
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.
Meeting demand in a consistent, cost-effective manner requires balance and good forecasting. But sometimes it takes a little more due diligence to uncover the best way to increase throughput or meet rising demand.