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Manufacturers who have deployed the digital or smart factory have put down their pencils, found new uses for their clipboards and closed their spreadsheet programs in favor of using real-time data gleaned from condition monitoring of their machinery.

Before harmonizing new technology onto the manufacturing floor, critical steps include determining the business problems to be solved and securing buy-in from all stakeholders, industry leaders said recently during an AeroDef conference panel talk on manufacturing production harmonization.

FANUC has made real one of the promises of Industry 4.0, that of predictive maintenance for factory equipment, with its Zero Down Time IoT solution. ZDT can be applied to any of FANUC’s robotic arms and their peripherals.

Road to maturity involves safeguarding supply chains, treating security with the same urgency as safety, for starters.

Amid vigorous growth in their industry, product lifecycle management (PLM) software developers are exploiting the cloud and machine learning to manage data and enhance the users’ experience.

There is an ever-increasing demand for the individualization of products from today’s consumer. When consumers are able to get exactly what they want (shape, size, color) they are more satisfied and more likely to do repeat business. But how do you scale custom part production?

The Pittsburgh region is a hotbed of activity in robotics and AI. This activity includes research and technology companies that commercialize academic research and solve real world problems.

With an influx of investment in digital factories, the playing field is changing and the ROI for digitizing production is becoming ever more apparent. However, restraints, such as company size and a disconnect between IT and OT, means the road to a successful digital transformation is one very few will be able to do alone.

For years, companies have struggled to understand how additive manufacturing (AM) can add value to their businesses. This makes sense because for a long time, additive tech didn’t meet the threshold for producing industrial-grade parts.

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.