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Cloud technology presents manufacturers with opportunities to improve the flexibility, scalability and efficiency of their operations. Realizing these benefits will require more than simply doing a one-to-one transfer of current technology to cloud-based servers.

For years, companies have struggled to understand how additive manufacturing (AM) can add value to their businesses. This makes sense because for a long time, additive tech didn’t meet the threshold for producing industrial-grade parts.

Hybrid manufacturing—using one machine to perform both additive and conventional subtractive manufacturing processes—is gaining traction across manufacturing sectors, allowing companies to leverage the benefits of both.

The German metrology developer Jenoptik is shifting “from focusing on metrology and laser processing standalone equipment to integrated automation solutions for the automotive industry.

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.

The term generative design has been popping up in the manufacturing world of late. Its promise is to create many design permutations to let engineers choose an optimum one that meets sometimes conflicting requirements.

The Commonwealth Center for Advanced Manufacturing (CCAM), Prince George County, Va., brings together industry, academia, and government to solve advanced manufacturing challenges.

Software AG (Frankfurt, MDAX: SOW) announced an original survey of over 125 North American manufacturers in the heavy industry and automotive sectors that revealed they are unable to scale their Industrial Internet of Things (IIoT) investments across their enterprises, and therefore are losing millions of dollars in potential profits while falling behind competitors that have invested in enabling technologies that support IIoT across the enterprise.

Much has changed in the world of automotive accessory designing, engineering, and manufacturing in the past few years. Sales and after sales of automotive parts have witnessed a surge in data-usage across the horizontal and vertical value chains between suppliers, business partners, internal departments, and the end-customers.