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The focus on digitalization in design and machining has highlighted the importance and advantages of more sophisticated digital tool management (DTM) systems. While this has generated a great degree of differentiation, and some confusion regarding a generally accepted system definition, it has resulted in the evolution of objectives and capabilities that are both more comprehensive and more customer-centric.

The latest mobile robots are designed to accomplish tasks in manufacturing plants without requiring major factory modifications. This emerging robot generation also meets workers where they are, functioning more like independent team members as opposed to complicated, difficult-to-use hardware.

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.

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.

Automotive manufacturers and their Tier One suppliers spend endless engineering hours developing the PAB (passenger airbag) system, from the airbag and its propellant to the construction of the materials used in the composite instrument panel.

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.

Materials science has opened new possibilities for designers of cars, planes and other products. Metal alloys are now as precisely engineered as they are machined. The result is longer lasting, stronger parts. But with a wider selection of materials comes risk—how can you be sure that one piece of gray metal stock is different than another? Careful warehousing procedures and paperwork only go so far.

New systems, software and processes are replacing so-called islands of automation with seamless, automated manufacturing lines that boost overall equipment effectiveness (OEE) from 30 to 80% or more. Like a chess master, these systems think multiple moves ahead on the factory floor to ensure continuing production when circumstances change.

The next “dynamic duo” may not involve humans at all. “Machine vision and robots make for a perfect marriage,” stated Klas Bengtsson, global product manager, vision systems for ABB Robotics (Auburn Hills, MI). This is not new. Vision and robotics have gone hand in hand for years.