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Siemens is planning the acquisition of Edge technology from the US company Pixeom. With this action, Siemens is strengthening its Industrial Edge portfolio by adding software components for Edge runtime and for device management.

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.

Put the paper and pencil away. Hybrid data management and analysis systems-where users combine paper tracking with computer processing-are no longer meeting the needs of manufacturers for speed, accuracy, traceability and compliance with regulations.

Manufacturers of all sizes see an uptick in productivity after adding a factory within a factory via an automated machining cell. The cells are small-scale, clearly defined production units, often for a family of similar parts or a product, and they typically include a robotic arm and one or more machine tools. These can include horizontal and vertical lathes, machining centers and grinders. The cell may also include a conveyor component.

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

With an influx of investment in digital factories, the playing field is changing and the ROI for digitizing production is becoming ever more apparent. However, restraints, such as company size and a disconnect between IT and OT, means the road to a successful digital transformation is one very few will be able to do alone.

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.

Acquisition to Position PTC as CAD and PLM Industry Transitions to Software-as-a-Service (SaaS)

Well into the 21st century, the medical industry faces a host of intriguing challenges, from aging populations to a growing range of personalized and at-home diagnostic and care devices—all set against a backdrop of increasing digital collection, transfer and storage of sensitive patient data.

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.