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Some things are a given today. One is computing is cheap and powerful, and it is getting cheaper and more powerful. Another is the dropping price of industrial sensors. Combine this with easier ways of moving around data from those sensors and you get lots of data: Terabytes of data.

Most manufacturers have relied on third-party vendors to make parts that are then incorporated into the final product. From automakers sourcing stereos and aircraft makers contracting for jet engines to a small bakery ordering plastic bags or a woodshop buying nails, producers of all types have supplemented their internal capabilities through a painstakingly developed supply chain of external vendors.

The combination of metrology hardware, adaptive CAM software and connectivity to plant-wide systems is making additive hybrid machine tool applications ever more practical on the shop floor.

The low temperature intrinsic to solid-state printing processes allows manufacturers to weld layers of dissimilar metals without fear of metallurgical incompatibility issues.

The U.S. needs to build a national infrastructure in engineering and manufacturing R&D that parallels its scientific infrastructure. While it makes all the sense in the world, it is not happening.

On June 22-23, SME hosted a Smart Manufacturing Working Group meeting at Texas A&M University (College Station, TX) followed by an international workshop on Smart Manufacturing for the Factory of the Future.

With larger turbine components, compared to automotive and aerospace, plus assembly challenges, new machining technologies are gaining popularity. The conventional milling and broaching techniques in turbine blade machining, with the high tooling costs and abrasive flow issues, are fast fading, as modern assembly methods continue to drive machining tolerances to new heights

Simulation tools are making it much easier for manufacturers to optimize their processes, visualizing the entire path of production from NC metalcutting simulations through 3D design and factory-floor imaging.

Data management and the maintenance of clean, usable data for asset performance metrics pose great challenges for manufacturers today.

Consumer expectations have shifted to almost unrecognizable levels, catalyzed by innovative tech companies like Amazon, Lyft and Netflix. Previously acceptable levels of customer service are no longer good enough. Customers now expect real-time support and answers to complex questions at the ready, at a minimum.