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The requirements for FDA 21 CFR Part 11 are in place for a good reason: When companies are making a part that goes inside your body, the engineering and manufacturing process must be meticulously documented, tested and controlled. People’s lives are at stake.

Energy markets across the world are changing rapidly with the increase of renewables and the change to a more distributed energy network. Energy storage is key. The capabilities of large-scale batteries have expanded, allowing users to capture more value and create a powerful tool to manage energy needs.

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.

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.