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Vibrations, chatter marks, and tool failure are all problems that can be prevented with intelligent monitoring and feedback systems.

What do you think of when you hear the word factory? Probably some huge space, with machines humming and personnel walking around with notepads in their hands.

What is tribal knowledge and why should a company care? It is valuable, exclusive information stored only inside someone’s mind and communicated only verbally (if at all). The “someone” may have played an important role in an organization for decades and knows a thing or two that the company treasures yet cannot duplicate.

The value-add of blockchain for businesses is estimated to grow into the trillions by 2030. Experts believe product recalls alone—estimated to cost $8 million today—could be practically eliminated through improved track and traceability enabled by blockchain.

Several years ago, a global commercial vehicle maker asked my firm to develop a remote fleet management, health and performance portal that would open a new revenue stream.

I’m among the first to dive into the latest manufacturing innovations and see how they can improve our customers’ operations. Yet, I’m also among the first to advise them to pause and ensure that the fundamentals of their manufacturing processes are in place before adding something new into the complex mix of functionality and desired outcomes.

It’s a familiar scenario at the factory. Quality issues have reared their ugly heads, requiring rework, causing backorders, delaying shipments, and driving tense daily customer calls. Meanwhile, the team works to address production issues using a mix of day-old post-mortem reports, shop-floor observations captured on notepads, and other operational data summarized on spreadsheets and sticky notes.

Defense systems are, by design, built to defend against threats. Today, however, manufacturers of these systems are focusing on an entirely new kind of threat: security breaches targeting their automation systems.

When it comes to materials, artificial intelligence can automate the screening process, simulate the performance of different materials and identify the best option.

Northrop Grumman's SCRAM system revolutionizes additive manufacturing with integrated continuous carbon fiber for aerospace and defense. It offers cost-effective build-on-demand capabilities, streamlines certification processes, and enhances agility in responding to evolving customer needs.