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.”
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With the push toward a fully digital factory, manufacturing execution systems (MES) software has never been more critical to manufacturers of all stripes.
An interview with Diego Tamburini, Principal Industry Lead, Azure Manufacturing Microsoft Corp.
Convergence-enabled cyberattacks—where criminals exploit traditionally isolated operational technology (OT) devices through their new connections to the IT network—may be motivated by the desire to hijack and demand ransom for services, steal trade secrets through industrial or national cyberespionage, or commit cyberterrorism or engage in cyberwarfare.
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.
The auto industry’s biggest current focus is self-driving cars. Established automakers as well as technology companies such as Apple Inc.
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.
The ongoing digital transformation of manufacturing comes baked-in with many uncertainties, and the automotive business is no exception.
How does Ansys’ SpaceClaim 3D modeling software help manufacturers streamline designs and boost manufacturing productivity?
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.