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So you have finally decided to start your digital transformation. You have seen the benefits around digitizing your operations. By connecting your disparate systems, you can start seeing what is actually happening in your plant and become more efficient. And not just in one plant, but in multiple plants.

The human factor is sometimes just too cumbersome in manufacturing. Take the German chipmaker Infineon: By using an autonomous robot called Scout from MetraLabs for the last several years, the automotive supplier shrank to 10 from 300 the number of minutes it takes to collect the clean-room data needed to measure the presence of rare gases in the air.

Powerful trends will push manufacturing close to complete automation by 2050, while the people still working in the industry will be empowered to rapidly innovate like never before.

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.

Glenn Bridgman describes the difference between his shop’s manual grinders and its newest state-of-the-art CNC ID/OD grinder, a Studer CT960 OD/ID from United Grinding (Miamisburg, OH), as “feel vs. facts.” Bridgman, president of Bridge Tool & Die (Buckley, MI), believes that manual grinding is a somewhat personal operation.

Artificial intelligence will go long way to imbue data management with trust.

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.

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.

The US Department of Defense (DoD) is keen on exploring the implementation of additive equipment in the battlefield and shipboard for quick-turn part fabrication.