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While cameras and motion control have worked in tandem for at least 15 years, their integration has improved because networks have gotten faster, more reliable, and more deterministic (i.e., nothing will interfere with a function that’s a priority).

Manufacturers continue to be bombarded with an onslaught of technology terms, as well as different ideas on where to begin and how to proceed. This confusion has slowed the adoption of new technology. Yet a big opportunity for a huge increase in efficiency awaits.

An interview with HOD LIPSON, co-author with Melba Kurman of the book Driverless: Intelligent Cars and the Road Ahead.  

New systems, software and processes are replacing so-called islands of automation with seamless, automated manufacturing lines that boost overall equipment effectiveness (OEE) from 30 to 80% or more. Like a chess master, these systems think multiple moves ahead on the factory floor to ensure continuing production when circumstances change.

If there’s one thing you can say without reservation about manufacturing today, it’s that everybody wants more automation and flexibility. With advanced 3D vision and a multiaxis robot, companies can now automate to a degree their executives only dreamt of a few years ago.

ECi services a multitude of industries, but we presently have four products that service manufacturing and what FABTECH attendees would be focused on: these include Macola, Max, JobBoss, and M1, which is the product I represent.

The devices quickly become less costly, sophisticated and independent, gaining wider influence.

In today’s booming software landscape, you see highly dynamic teams quickly iterating to develop and improve their products. Yet while the world’s software creators have learned to “move fast and break things,” hardware developers are still (slowly) moving to adopt a more agile product development methodology.

It’s a familiar scenario at the factory. Quality issues have reared their ugly heads, requiring rework, causing backorders, delaying shipments, and driving tense daily customer calls. Meanwhile, the team works to address production issues using a mix of day-old post-mortem reports, shop-floor observations captured on notepads, and other operational data summarized on spreadsheets and sticky notes.

For many years, the knowledge economy and traditional industries like manufacturing appeared to be on parallel tracks. Now those tracks are converging.