Manufacturers must wrestle with the “Black Hats” of the cyberworld in order to keep processes secure
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With the right cloud-based security tools, manufacturers can lock down and seal off factory-floor equipment from would-be hackers
The auto industry’s biggest current focus is self-driving cars. Established automakers as well as technology companies such as Apple Inc.
The ongoing digital transformation of manufacturing comes baked-in with many uncertainties, and the automotive business is no exception.
Manufacturing competitiveness depends on working faster, smarter, and better, with the convergence of the Industrial Internet of Things (IIoT) devices and smart sensors, software and data analytics.
To compete in the fast-paced world of manufacturing, machinists look for no-compromise machine controls offering fast, precision programming of machine tools. The latest CNC systems from machine control developers include a new dual-function milling and turning control and several updated controls with embedded software routines that can significantly speed up CNC programming.
How does Ansys’ SpaceClaim 3D modeling software help manufacturers streamline designs and boost manufacturing productivity?
The Fourth Industrial Revolution has begun, and there is wide agreement this revolution will involve cyber-physical systems with human-machine interaction and lots of data. But many still wonder what the revolution is about and what to expect as consumers and manufacturers.
A key success factor for Industry 4.0 and IIoT (Industrial Internet of Things) initiatives is the emergence of more and better sensors in machining centers, and even in the cutting tools themselves. These sensors provide the data and connectivity that are the foundation for the “factory of the future.”
With the latest product lifecycle management (PLM) tools, manufacturers take aim at speeding developments using the Digital Thread, an integrated set of CAD/CAM/CAE and cPDM (collaborative Product Data Management) solutions that weave together new Digital Twins of manufacturing processes.