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When it comes to using new materials, medical and dental device makers are ultra-conservative—because they need to clear devices through a thicket of federal regulators.

A dynamic safety concept has been implemented in the Industrie 4.0 demo production plant of the SmartFactoryKL consortium on the basis of an industrial, Ethernet-based communications protocol.

Comau, Microsoft and ICONICS are debuting here at Hannover Messe the results of their work together to improve manufacturing production around the world, in terms of efficiency and total cost of ownership.

Conrad Leiva, vice president for product strategy and alliance at iBASEt and chair of the smart manufacturing working group at MESA International, speaks with Smart Manufacturing magazine Editor in Chief Brett Brune.

Data management and the maintenance of clean, usable data for asset performance metrics pose great challenges for manufacturers today.

For machine shops in a competitive global marketplace, keeping spindles running and making product is the only way to stay in business. Still, adding a new piece of equipment, even with the promise of improving the efficiency of your existing ones, may be a difficult sell to management.

We all know the buzzwords circulating around digital data and the factory. You have heard them—Industry 4.0, smart factories, data analytics, and artificial intelligence (AI). The question we all have is how will this impact workers in the long term? What do these terms really mean? Nevertheless, both traditional software suppliers and makers of advanced manufacturing equipment are offering digital solutions.

Remember the boy with endless learning capacities in the 2001 film “AI Artificial Intelligence”? He’s quickly coming to life. Today, AI is no longer fictional; it’s reality.

The Digital Manufacturing and Design Innovation Institute (DMDII) today kicked off a new cybersecurity initiative focused on manufacturing.

Artificial Intelligence is weaved in with capacity management, cybersecurity, data science, diagnostics, ERP-PLM integration, location analysis, machine learning, predictive maintenance, process optimization, situational awareness and supply chain management.