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How do we turn all the data collected at each step of the manufacturing process into something usable?

CGTech, a developer of verification and simulation software technology for the manufacturing industry, has appointed Mark Forth as Global Business Development Manager. Forth joined CGTech’s corporate headquarters in Irvine, Calif. on Oct. 1.

Amid vigorous growth in their industry, product lifecycle management (PLM) software developers are exploiting the cloud and machine learning to manage data and enhance the users’ experience.

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.

Maybe your company specializes in aerospace or medical components, and you need to produce complex geometries in metals too tough to cut via conventional machining methods.

Speeding the flow of jobs through the shop, while maintaining top quality, ranks among the hallmarks of any successful manufacturing operation’s goals.

Edge. Cloud. Digital twin. AI. AR. VR. Cobots. Once they were buzzwords. Now, they are becoming technical realities in mid- to large-scale manufacturing plants in North America.

Robots and job shops have not typically been talked about together. After all, everyone knows that automation is only suitable for high-volume production, and the typical mom-and-pop operation is anything but—its schedule filled with orders for high-mix, low-volume, and often highly complex work.

The “Global Robotics Report 2019” found that 79 percent of automation distributors do not believe their customers understand the safety requirements of installing a collaborative robot, or cobot.

Reducing the risk of automotive defects is one of the most critical issues facing manufacturers today – to protect the well-being of consumers, as well as their own reputations and financial health.