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At its automotive plant in Jalisco, Mexico, Interplexico turned to robotics to improve production efficiency for one of its parts production lines.

IMTS to highlight how wide-ranging processes are finding fresh ways to work together.

The Metal Removal pavilion at IMTS features automated technologies cojoined to make better parts.

Data democratization promises to boost manufacturing quality and deliver real-world ROI.

Machines can learn to spot anomalies in-process and end-of-line.

Predictive maintenance is a way to predict every possible scenario of hardware failure, identifying when maintenance is required and alerting maintenance staff, when necessary, as well as providing preventative solutions.

Even for those well on the automation path, there can be stumbling blocks to overcome or additional areas to be automated. A new, objective view from a different source could provide a satisfying solution.

Some of the key trends in manufacturing are brought about by convergence of the design and manufacturing industries. With manufacturers under more pressure than ever to deliver better products faster and at lower cost, the need to connect and automate design and manufacturing processes to reduce iterations, errors, and delivery times is becoming critical.

The IUPUI Mechanical Engineering Technology program concentrated on Mastercam and the online benefits of Mastercam University for its students. This approach paid big dividends on a unique Indy Car project for the Indianapolis Motor Speedway.

How do we turn all the data collected at each step of the manufacturing process into something usable?