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One theory I came up with years ago, backed by absolutely no evidence, is that automation and robotics will eventually be so extensive that none of us will have to leave our houses. We will eventually sit around all day, grow roots, and evolve back into the plant life we came from millions of years ago.

If “automation” is the constant drone you hear from practically everyone in metalworking these days, job shop owners might be the only people yelling “No!” Or at least “Wait!” How, they ask, can you cost-effectively automate low-volume, high-mix parts? Yet it’s not only doable but probably necessary.

Ask almost any CAD/CAM vendor what they’re focused on and they’ll tell you it’s the same today as it was five years ago, and it’ll be the same in five years: Get the part onto the machine as fast as possible and get it off the machine as fast as possible. Here’s the current state of play in those two main areas.

Ask the owner of any machine shop or sheet-metal house to name the biggest obstacle to company growth and you’re likely to receive the same answer—it’s not a lack of working capital that’s slowing them down, nor a shortage of advanced technology, but something far more basic: the need for someone to push a green button or pack boxes. “We can’t find enough people,” you’ll hear.

Seco Tools LLC (Troy, MI) hosted a Mold and Die Manufacturers Seminar for metalworking professionals at its headquarters on July 26 in collaboration with hyperMILL (Open Mind Technologies, Needham, MA) and Heidenhain Corp. (Schaumburg, IL).

The virtualization of business-critical infrastructure is transforming the production and distribution of goods and services throughout the supply chain as industrial organizations shift focus from private to public and, ultimately, hybrid cloud deployments that connect and integrate on-premise resources with cloud resources.

General Motors Co. (Detroit) is boosting its use of collaborative robots, a manufacturing executive said at this week’s Management Briefing Seminars (MBS).

A conversation between Smart Manufacturing Editor in Chief Brett Brune and Sridhar Kota, professor of mechanical engineering at the University of Michigan and Executive Director of MForesight. 

Within manufacturing, a shift has begun to extend big data analytics and condition monitoring beyond the factory door to both ends of the supply chain—to customers, other end users and to second-and third-tier suppliers.

Additive manufacturing (AM) refers to processes used to make a three-dimension object layer-by-layer. The shape of each layer can be dynamically controlled by computer-aided design (CAD).