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Today’s virtual technology enables faster and better product development. Planes, trains and automobiles are defined in CAD, subjected to virtual tests to see how they might fail, re-designed, virtually manufactured and virtually shown to customers to confirm market acceptance.

As a provider of automation equipment and software, our company is immersed in this ongoing, revolutionary, data-driven ride, and we’re anticipating a new trend: our customers are not just automating their traditional subtractive methods.

In the fast-changing world of motorized vehicle manufacturing, supply chain companies are now offering numerous software suites, bringing digitalization software and customizable applications to machine tool builders, alongside CNC hardware and operating software.

Structured light systems measure surfaces by projecting a pattern of fringes, then using cameras and sophisticated software to convert them into point clouds of metrology data. Accuracy can reach the single-digit microns over millions of points.

Canadian based 7D Kinematic Metrology Inc., has acquired Nikon Metrology’s iGPS dynamic tracking business. The closing of the transaction is expected to take place on March 31.

Technology systems provider Siemens USA (Washington) has been selected by Boeing (Chicago) to implement new automation solutions aimed at developing automation standards that will make Boeing’s manufacturing systems more efficient and safer.

It’s probably not a bad idea for smaller and mid-sized manufacturers (SMMs) to adopt an “us against them” attitude as they become aware of the prevalence of cyber-attacks in the digital age of the Industrial Internet of Things (IIoT) and Industry 4.0.

Smart sensors, already an integral feature of many manufacturing plants that are integrating IT and OT, are now making their way into the supply chain where they monitor reliability and shipping conditions, improve predictive maintenance and make just-in-time delivery (the innovation from the 1980s) easier.

Some things are a given today. One is computing is cheap and powerful, and it is getting cheaper and more powerful. Another is the dropping price of industrial sensors. Combine this with easier ways of moving around data from those sensors and you get lots of data: Terabytes of data.

When I graduated with an engineering degree some decades ago, I learned that the organizations I was going to work for had internal communication problems. This was especially true for those that designed and manufactured complex machinery such as engines, aircraft, or automobiles.