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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.

When I graduated with an engineering degree some decades ago, I learned that the organizations I was going to work for had internal communication problems. This was especially true for those that designed and manufactured complex machinery such as engines, aircraft, or automobiles.

SME is publishing a series of Smart Manufacturing Industry Reports, with the third being released at IMTS this month. The reports, available at sme.org/reports, detail the advantages of smart manufacturing, the challenges to implementing digital solutions, and, finally, keys to implementing the technologies and tools.

Industry 4.0 is often referred to as smart manufacturing, where technology enables interconnectivity for machines and manufacturing software and systems. It also provides “Big Data,” increased visibility and remote access to manufacturing assets.

CNC machine tools supplier Methods Machine Tools is hosting concurrent open houses at its Phoenix and Los Angeles technical centers Oct. 5 to Oct. 7.

To Reflect Maturity of IoT Marketplace, places new focus on technology innovation that fosters business transformation

An engine manufacturer discovers there is a way to reduce 50 billion data points to 2 billion—a reasonable number from which the foundation for machine learning can be built.