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Around the U.S., the major manufacturing regions are taking stock of the fallout from the pandemic and how they can navigate out of the lockdowns in 2020 to thrive once again.

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.

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

Robots simply are not used as widely as they could be, due to persistent barriers.

EV manufacturers must overcome a unique set of challenges to meet future customer expectations. Among them is the challenge to create innovative designs that meet safety requirements, performance criteria and keep costs down in the face of growing competition and a widening skills gap.

Karma Automotive, a luxury electric automaker, provides a case study of how cloud computing can reshape EVs.

The rise of cloud-based, Industry 4.0-level computing and networking technology is making multiple documentation and traceability requirements easier to navigate.

The IM-8000 dimensional measurement system has a rotary unit, which allows for 360-degree measurement capability on both turned and machined parts.

Leak detection testing is growing in importance with the development of electric and self-driving vehicles.

An Eaton executive describes the automotive supplier's plans to utilize Industry 4.0.