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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.

If you’re feeling a bit overwhelmed by the prospect of Industry 4.0, and perhaps a bit sheepish about your lack of progress, you’ve got good company.

When drilling a well, clearing a forest or excavating a building site, experienced operators count on their toughest equipment to help them get the job done.

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

If you look at all the companies that were on the Fortune 500 list in 1990, “a very large percentage of them are not there anymore,” David Brousell, executive director of the Manufacturing Leadership Council, told people attending his talk on “Manufacturing 4.0” at Oracle’s recent Modern Business Experience conference.

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.

Connected manufacturing and digitization technologies are spurring many of the major innovations in CNC machine controls that help machine shops cut metal and create parts as quickly and efficiently as possible.

Designing new aerospace engines is challenging, but Rolls-Royce Germany turned to data analytics and AI to meet these challenges. The results? Reduced costs and shortened lead times.

At a Tier 1 automotive manufacturer in Mexico, it quickly became clear that AI in the factory was a fantastic solution to help human workers achieve greater levels of success; a human plus machine scenario where AI enhances the capabilities of, rather than replaces, human workers.

PRAB Inc. has introduced the Bundle Breaker, a conveyor enhancement that preconditions stubborn metal scrap bundles for improved material transfer, processing and safety.