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On-time delivery (OTD), a measurement of the level of finish goods or services delivered when promised and in full, is a signal of efficiency that reveals how well operations is doing.

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.

Cloud computing helps any kind of manufacturing with cybersecurity, efficiency, on-call scalability, and Industry 4.0. But for medical manufacturers, cloud computing brings additional critical benefits.

Blockchain technology is becoming a key player in modernizing supply chains to enable easy tracking, automate transactions and delivery, and build end-to-end trust, Chandra Narayanaswami, principal research staff member, Member IBM Academy of Technology at IBM Research, told people attending a smart manufacturing session at the MD&M West conference here last week.

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.

The concept of attaching data to CAD models, such as GD&T, seems to be growing. Using model-based definition, the industry is beginning to take advantage of the technique.