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Aerospace and defense manufacturing is known for its complex designs, continual changes and the need to negotiate tight margin requirements. At Elite Aviation Products (EAP), a division of Elite Aerospace Group (Irvine, CA), we face these challenges every day.

My original intention for this column was to discuss a phrase getting a lot of buzz lately, artificial intelligence (AI). By any measure, interest in AI is expanding exponentially, both in the number of articles one can read on the subject and, according to Google Trends, the number of searches for those articles.

US manufacturers are discovering the policies of the Trump administration aren’t like a cafeteria. You don’t get choose which policies you want.

My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.

As OEMs and suppliers alike wrestle to convert Big Data to Smart Data, Industry 4.0 and digitalization, plus cloud-based technologies for production monitoring and management, how do manufacturers best work together with end-users to achieve today’s production targets and plan future facilities?

Automotive engineering has never had so much complexity to address. Producing millions of vehicles per year is a daunting feat.

Looking to reduce costs, save time and enhance your design options? Take inspiration from real examples of manufacturer’s who have achieved all these and more.

Flexibility has come to automation, perhaps as never before. And for industries that require precision machining, assembly, and measurement, automation technologies have never been more available.

In the near absence of academic programs to teach undergraduate engineering students additive manufacturing, a California-based startup has stepped in to help fill the void through internships.

Ongoing exchange between CAD/CAM software technology developers and cutting tool manufacturers is an excellent illustration of how technology collaborations can create productivity gains in manufacturing. Several examples involve our company and cutting tool manufacturers.