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Machine vision is proving ideal in helping humans perform tedious but crucial manufacturing tasks. That is why it is poised to grow significantly in the next few years.

Aging assets have long been the culprits behind common supply chain disruptions like unexpected downtime and production delays. They can have a direct impact on revenues and service levels, and the older they get, the more costly the risks they pose are.

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.

Well into the 21st century, the medical industry faces a host of intriguing challenges, from aging populations to a growing range of personalized and at-home diagnostic and care devices—all set against a backdrop of increasing digital collection, transfer and storage of sensitive patient data.

Industry wearables bring several advantages to every stage of production.

IMTS to highlight how wide-ranging processes are finding fresh ways to work together.

Tom Kelly, the CEO of Automation Alley, is almost an evangelist for advanced manufacturing technology and Industry 4.0.