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Manufacturers require a deep understanding of operations to make quick, data-driven decisions and keep production running in the face of unpredictable challenges.

What’s sexy? Try 3D printing, cobots, Yammer, VR, AR, blockchain technology

Advances in CAD/CAM algorithms have improved tool paths, resulting in more speed and efficiency and less stress on both the tool and the objects being cut. Because these new algorithms help tools cut more efficiently and faster, operators save time and the tools last longer.

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).

As the momentum to go green continues to build across the globe, the number of environmental regulations for reducing hazardous substances keeps growing. At the same time, more and more customers are now setting their own environmental requirements, adding more complexity to the mix.

When considering a new robotic automation system, one of the biggest concerns can be the weight of the initial costs. While such a large capital expense may be hard to swallow at first, it’s industry-proven that manufacturers see an average ROI of 24 months from robots.

With the September issue, Smart Manufacturing introduces Collective Intelligence, a new initiative under which we gather experts in one room to go deep on one important topic. We focused this first roundtable on the intractable problem of the workforce skills gap.

Manufacturers continue to be bombarded with an onslaught of technology terms, as well as different ideas on where to begin and how to proceed. This confusion has slowed the adoption of new technology. Yet a big opportunity for a huge increase in efficiency awaits.

It’s a familiar scenario at the factory. Quality issues have reared their ugly heads, requiring rework, causing backorders, delaying shipments, and driving tense daily customer calls. Meanwhile, the team works to address production issues using a mix of day-old post-mortem reports, shop-floor observations captured on notepads, and other operational data summarized on spreadsheets and sticky notes.

In today’s booming software landscape, you see highly dynamic teams quickly iterating to develop and improve their products. Yet while the world’s software creators have learned to “move fast and break things,” hardware developers are still (slowly) moving to adopt a more agile product development methodology.