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Constant refinement of medical machining from tooling design to finished product requires not only the ability to handle a broad range of plastic and metal materials but also to achieve predictable results—particularly in the face of strict regulations.

Smart factory systems benefit from improved technologies, as well as proven applications.

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.

FANUC has made real one of the promises of Industry 4.0, that of predictive maintenance for factory equipment, with its Zero Down Time IoT solution. ZDT can be applied to any of FANUC’s robotic arms and their peripherals.

At the DISCOVER 2019 manufacturing education and technology event, Mazak Corp. will demonstrate more than 30 manufacturing systems ranging from cost-efficient turning and milling solutions to hybrid technologies that the company says will allow manufacturers to re-imagine part-production operations altogether.

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.

ARCH Global Precision, Bloomfield Hills, Mich., a Jordan Company platform company focused on manufacturing cutting tools, machined components and medical implants and instruments, has acquired Siem Tool Co., Latrobe, Pa. Siem Tool is a manufacturer of custom solid-carbide drills, end mills, reamers, thread mills and form tools. Siem Tool will join ARCH’s Cutting Tools division.

As additive manufacturing (AM) moves from prototypes to mass production, manufacturers are setting their sights on the holy grails—the products and processes that will be game-changers. Many game-changers are already in play.

As with any digital transformation process, the devil is in the details, and there are many potential pitfalls that can derail projects.

The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.