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The ongoing digital transformation of manufacturing comes baked-in with many uncertainties, and the automotive business is no exception.

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.

Automation in manufacturing is more important than ever, reducing costs and improving quality. While it is important in assembling cars, machining engines, or drilling holes in airframes, is it important to metrology operations as well? “Absolutely,” explained Michael Kleemann, engineering manager VRSI (Plymouth, MI).

Shops today must track or measure their manufacturing operations to improve them. This need drives the growing use of MTConnect—an open, royalty-free protocol for extracting data from practically any piece of equipment, including machine tools and other manufacturing systems. The integration of MTConnect is a major undertaking, and can be a bit challenging unless certain preparations are made ahead of time.

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.

Lights-out metrology for inspection is a natural entry point into automation as it is less disruptive to implement than other manufacturing operations.

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.

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.