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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.

An Israeli company has developed new artificial intelligence technology that promises to dramatically change how original equipment manufacturers and their suppliers conduct quality control inspections.

Simcenter Testlab enables better usage of test-based data, from design and simulation to validation and certification.

Challenged by an increasingly niche-oriented automotive market, The Chrysler Group (Auburn Hills, MI) must increase the number of models it offers while decreasing its capital investment. The company plans to offer 50% more models in 2009 compared to 2004, according to John Felice, VP of manufacturing, technology and global enterprise for Chrysler.

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.

Machine operators can replace time-consuming manual setups and gauging with the precision of digital metrology through a conversational CNC interface.

How the digital thread increases visibility of upstream and downstream workflows.