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To improve time to market and productivity at Honda, the Japanese automaker partnered with the French software giant Dassault Systèmes on planning structure, including a new model process development (NMPD) project, Ron Emerson said here this week at Dassault’s 3DExperience Forum North America event.

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.

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.

Metrology for medical devices needs to become more capable as those devices get more varied and complex. Manufacturers must inspect dental implants, coronary stents, orthopedic joints, and implanted electronic devices. Surgeons are increasingly using intricate, sometimes one-off, surgical tools. There is also a growing number of consumable items, such as hypodermic needles, made on rapid production lines. They all need ever more precise quality control.

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).

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.

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.

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

Defense systems are, by design, built to defend against threats. Today, however, manufacturers of these systems are focusing on an entirely new kind of threat: security breaches targeting their automation systems.

A team of researchers from UC Berkeley, led by Pieter Abbeel, is working on the creation of smart robots that are teachable and can learn new skills without pre-programming. Abbeel and his team also formed a startup called Embodied Intelligence with the aim of developing artificial intelligence (AI) software to enable robots to learn from humans to perform complex tasks.