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SME is publishing a series of Smart Manufacturing Industry Reports, with the third being released at IMTS this month. The reports, available at sme.org/reports, detail the advantages of smart manufacturing, the challenges to implementing digital solutions, and, finally, keys to implementing the technologies and tools.

Just getting familiar with the digital thread? You’ve come to the right place to learn what it is and why you need it for your products.

The next cycle of technology disruption is upon us. Artificial Intelligence (AI) is taking hold in every industry and manufacturing is no exception. AI enables companies—from medical device and electronics manufacturers to pharmaceutical firms—to leverage their Big Data and IoT investments to see new patterns and insights and to perform tasks more efficiently and quickly than ever before.

Remember the boy with endless learning capacities in the 2001 film “AI Artificial Intelligence”? He’s quickly coming to life. Today, AI is no longer fictional; it’s reality.

Nearly a year ago, the world became aware of a new computer virus known as WannaCry. Many institutions were affected by the ransomware. It encrypted and locked a Microsoft Windows computing system and demanded payment.

For ABB, robotic welding comes down to a never-ending process of ensuring parts are suitable for laser joining and developing the appropriate processes. To that end, ABB is refining a recent innovation to improve beam delivery speeds and has developed software for on-the-fly welding in tandem with Trumpf’s Intelligent Programmable Focusing Optic (IPFO).

Basic trends in modern manufacturing are driving growth in 3D optical metrology. “One is the highly complex and high-tech material that manufacturers are using today. For example, in the aerospace turbine blade market, they simply cannot touch the part like they used to—the surface finish of the material is too readily affected by any kind of contact metrology."

Artificial Intelligence is weaved in with capacity management, cybersecurity, data science, diagnostics, ERP-PLM integration, location analysis, machine learning, predictive maintenance, process optimization, situational awareness and supply chain management.

Delta Sigma started thinking about augmented reality (AR) in 2005. By January 2008, the company, which designs and builds custom machinery to automate manufacturing and assembly processes for aircraft production, made its first installation on the F-22 vertical stabilizer.

In today’s rapidly changing manufacturing landscape, Clemson University (Clemson, SC) takes a fresh approach to manufacturing education for the nation’s future automotive engineers.