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Many people want to implement IoT in their factories, and with the abundance of IoT platform technologies out there, they think it’s a breeze. But many challenges await those who don’t think things through carefully—challenges for which traditional IoT platforms do not have effective solutions.

Today, the ideal factory can achieve levels of self-controlling (and perhaps self-learning) production processes, in which production reacts autonomously to changes or faults and takes appropriate measures.

CENIT AG is negotiating the acquisition of all shares in Keonys S.A.S., Paris, one of the leading European PLM specialists based on the software products of Dassault Systèmes.

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.

The concepts Industry 4.0 in Europe, Made in China 2025 and smart manufacturing in the U.S. “all share a common goal—to create cyber-physical systems to innovate in manufacturing,” IDC's Bob Parker said at Dassault Systèmes’ recent Manufacturing in the Age of Experience event. “And it’s really dependent on a set of new technologies like IoT (the Internet of Things) and artificial intelligence (AI).”

The $150 million “factory of the future” that the Swiss innovator ABB announced a year ago is becoming reality in this enormous city’s Pudong New Area.

Manufacturers of all sizes see an uptick in productivity after adding a factory within a factory via an automated machining cell. The cells are small-scale, clearly defined production units, often for a family of similar parts or a product, and they typically include a robotic arm and one or more machine tools.

There is still a lot of talk about breaking down the “silos” within a manufacturing enterprise. Siemens, like other software providers, is trying to address the problem by offering toolsets that are easier to integrate and work together.

In the age of Industry 4.0 and the digital thread, computer-aided design (CAD) data exchange should be open and seamless because it happens daily in a multi-tiered supplier ecosystem and so much interoperability depends on it. But we are not there yet.