A New Era of Intelligent Machinery

By Alyssa
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What if we could teach machines how to learn the way humans do?

While robots are not new to production lines, they are becoming increasingly vital in manufacturing. According to the International Federation of Robots, by 2019 there will be an additional 1.4 million industrial robots in factories around the world.  While some people are concerned that robots will take away human jobs, many feel instead that robots will open up new ways of working and entirely new types of products and services.

Robots take on increased importance as we move into a ‘production of one’ environment where – to meet demands for highly customized products – production lines must become highly adaptable in order to crank out a wide range of products.

Flexibility is now more important than efficiency in a production line,” notes Philippe Bartissol, Vice President, Industrial Equipment, Dassault Systèmes.

So, how is it that industrial robots can have the necessary impact – while still protecting human jobs?  The answer: deep learning.  Deep learning algorithms are already everywhere. It’s how your email system filters spam and how those online ads target you.  In the industrial equipment industry, deep learning will fuel momentum of artificial intelligence (AI), and this allows manufacturers to be faster and more flexible – and ultimately please their demanding customers.

These futuristic robots will be able to automate more tasks, freeing humans to do other work.  They’ll also be able to learn, adapt and teach themselves new skills just as humans can do.  And importantly, new technologies will make it much simpler to program robots – any manufacturing worker will be able to program simply by mimicking the activity to be performed; no specialized or extensive technical know-how required.

Dassault Systèmes, in conjunction with CNBC Catalyst Content Studio, created an in-depth look at the future of robots, machine learning and AI and how this will transform industrial equipment.  Check out the videos and articles here.  Then come back and tell us: do you think robots and humans can live in harmony in future factories.

Engineer-to-order Can’t Succeed Without  the Internet of Things

By Catherine
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By Catherine Bolgar

As usual, the Internet is busy disrupting industries: this time, it’s manufacturing. Since the industrial age began around 1760, manufacturing has strived for efficiency through standardization. The Internet—especially the Internet of Things—is taking that apart by allowing for greater personalization.

Making unique products doesn’t mean a return to the days of handmade artisanal goods. Instead, it means multipurpose manufacturing systems and flexible production, often executed by automation and robots that assist human workers.

“Machine tools are typically restricted in their functions and the types of material they can handle,” says Karl Hribernik, department manager at the Bremer Institute for Production and Logistics, or BIBA, in Bremen, Germany. “Production in the future will be more flexible. Cyber-physical, multipurpose production systems and manufacturing cells are the next generation of industrial machinery. In the Industry 4.0 paradigm [alluding to Germany’s initiative to integrate the Internet of Things (IoT) in industry to usher in rapid technological change in manufacturing], distributed resources will make use of local capabilities in flexible supply chains.”

Such flexible systems will rely on the IoT as well as on robots.

Robots can be reprogrammed to do different tasks. So engineer-to-order will make extensive use of robots. It can’t be restricted to single-purpose machines,” Mr. Hribernik says.

Industrial engineer

The communication among robots, machines and humans relies on the Internet of Things. Sensors are getting cheaper even as they are able to do more, with more precision.

The Industrial Internet Consortium, an international group setting the architectural framework and direction for the Industrial Internet, including operating two dozen test beds, launched a new test bed last year using the IoT to track everything on the floor of a factory—tools, parts, work in progress, people.

“There are two reasons,” explains Richard Soley, Massachussetts-based executive director of the Industrial Internet Consortium and CEO of Object Management Group, a technology standards consortium. “We can make more efficient use of the factory floor if we know where everything is. People on the floor spend half their time looking for the right tool. So if the system knows where the tool is, it can say, ‘Tool C is behind you, four meters on the left.’ We also know which parts of the factory floor are likely to be free soon, so we can move in the next part to be worked on. It increases human and machine efficiency. It’s reinventing factory-floor management and greatly enhancing factory-floor safety.”

The communication with workers increasingly is taking place via a worker’s personal smart phone, he adds. “It has sensors in it, it communicates on 25 different communication bands and it’s something you carry everywhere. That is going to be the most ubiquitous IoT communicator.”

The dream in the manufacturing space for decades has been to do what was called flexible manufacturing: changing with short or no notice, Dr. Soley adds. Retooling an automotive production line can take several weeks. So, for example, one motorcycle maker doesn’t retool at all, but builds each motorcycle separately.

“They know more about their customers because of the IOT—tracking customers and predicting what they need,” Dr. Soley says. “Because they meter the production line, they know what’s in production now and what they could be producing on the fly. Essentially they make every order differently. It means they can respond more rapidly to customer demand, offer more options and products and stay ahead of competitors.”

As this approach takes hold, he adds,

We’re looking at a future not far away in which everything you build is completely personalized.”

Indeed, an important aspect of the IoT isn’t just in the making of products but in monitoring  their entire life cycle.

The IoT provides “better information on how products are made and used,” Mr. Hribernik says. “It allows a more granular and precise monitoring of the quality of products being manufactured. If you feed that back into design, it allows engineers and designers to improve design for manufacturing and quality. In the middle of a product’s life, investigating product usage can help detect faults. If companies get that feedback via the Internet of Things, then they can iterate product design and manufacturing more quickly. It also can allow them to provide tailor-made services, like predictive maintenance, during the product’s life. And at the end of life, if you know how a product was used, what parts it was  made of and which parts were replaced, you can better achieve recycling, refurbishing or reuse.”

“It’s a revolution/evolution from mass-producing automated lines to more flexible production based on cyber-physical systems,” Mr. Hribernik says. No matter how refined robots are, they are still far from the flexibility and adaptability of humans. The best practices use robots and automation to augment human workers, by doing things that are too repetitive, strenuous or dangerous for people.

“We see a potential for collaboration with robots to help older workers and keep them in the workplace, maintaining their jobs and also their experience in the company,” he says.

Although awareness and acceptance of IoT and engineer-to-order processes is increasing, “manufacturers are still very, very careful about sharing data out of their production lines with machine-tool providers,” Mr. Hribernik says. “The B2B models need to evolve before widespread acceptance in industry will make an impact on manufacturing.”

 

Catherine Bolgar is a former managing editor of The Wall Street Journal Europe, now working as a freelance writer and editor with WSJ. Custom Studios in EMEA. For more from Catherine Bolgar, along with other industry experts, join the Future Realities discussion on LinkedIn.

Photos courtesy of iStock

How Will Automation Change the Job Market?

By Alyssa
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Since the 1970s, automation has eliminated the jobs of millions of bank tellers, retail cashiers, travel agents, airline front-desk workers and manufacturing employees.  As automation becomes more widespread across our world, more jobs such as truck drivers, airline pilots and even medical doctors are now at risk.

Business-FutureofWorkSince the Industrial Revolution began replacing workers with machines in the late 18th century, technology has been changing the nature of work. For every painful job loss, however, the economy generally created one or more new jobs in more advanced industries. Displaced workers had to retrain for the new jobs, but jobs still existed for those willing to learn new skills.

But with today’s cutting-edge technologies – artificial intelligence, robots, automated big data analysis, the Internet of Things, nanotechnology and 3D printing, among others – many experts believe the world is at an important inflection point that may change work so dramatically it will become virtually unrecognizable.

How many jobs are we poised to lose?  Is your job function at risk? What will be the impact on society?  To discover more, “The Future of Work” in the new issue of Dassault Systèmes Compass magazine.

 



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