Takeuchi Streamlines Product Development with 3DEXPERIENCE

By Alyssa
Share on LinkedInTweet about this on TwitterShare on FacebookShare on Google+

11-2-2016-9-47-29-am

With rising investment in infrastructure around the globe, the heavy construction equipment industry is poised for a high rate of growth.  Clearly, that is good news for companies in that industry.  But there is a hitch. At the same time, those very companies are faced with adapting their businesses to meet the needs of the Experience Economy, which has created an environment where customers are increasingly demanding custom machine configurations.  How can a company transform itself in a time of high demand?

This was the challenge faced by Takeuchi, a 50-year old Japanese construction equipment manufacturer with a reputation as a market innovator that produces high-quality products.  Takeuchi set a goal to streamline its development processes in order to help them accelerate delivery of products that meet both customer and regulatory requirements.

Among the key first steps was improving internal processes and unifying a collection of different and incompatible information systems.  Takeuchi chose Dassault Systèmes’ 3DEXPERIENCE solutions to provide its employees with an integrated platform for all product-related activities.  This is not limited to its product development designers: Takeuchi’s other departments such as production control and production engineering have access to system data as well.

 

With this platform, we avoid a patchwork-like system of different solutions from different vendors, which is a nightmare to coordinate.”

 

Read a new case study to learn more about the benefits Takeuchi has gained from 3DEXPERIENCE, including:

  • the ability to create more product variants with a fewer number of parts
  • increased re-use of existing parts
  • reduced lead times for new product introductions
  • eliminating the need for physical prototypes

Sensors in the Age of Industrial IoT

By Catherine
Share on LinkedInTweet about this on TwitterShare on FacebookShare on Google+

By Catherine Bolgar

The use of sensors, especially in the Internet of Things, is creating a mountain of big data. This infographic illustrates how to manage the data generated from sensors, including best practices for identifying which data streams are useful as the volume of data continues to explode.

Click here to see a larger view

dassault_infographic_preview-full-sensors_190816
 

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.

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

By Catherine
Share on LinkedInTweet about this on TwitterShare on FacebookShare on Google+

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



Page 1 of 612345...Last »