Market Overview

Successful Testing of Productivity Improvements Provided by Renesas AI Unit Solution at GE Healthcare Japan' Hino Factory

Share:

Proving Test Results Show Production Yield Can Increase up to 99.5
Percent

Renesas Electronics Corporation (TSE: 6723), a premier supplier of
advanced semiconductor solutions, today announced that Renesas and GE
Healthcare Japan's Hino Factory together performed a proving test using
Renesas' "AI unit solution." The AI unit solution is one of Renesas'
e-AI (embedded artificial intelligence) solutions for manufacturing
equipment that makes it possible to adopt AI in endpoint embedded
equipment. As a result of this testing, it was verified that the
production yield in the applicable process can be increased up to 99.5%
by reducing unsatisfactory items, and that this technology was capable
of significantly improving productivity. Although Renesas had previously
performed a proving test at their own factories, the proving test
performed at GE Healthcare Japan demonstrated that Renesas' "AI unit
solution" is effective at other companies' factories as well.

This press release features multimedia. View the full release here:
https://www.businesswire.com/news/home/20180904005837/en/

Proving test using Renesas' AI unit solution at GE Healthcare Japan's Hino factory (Photo: Business  ...

Proving test using Renesas' AI unit solution at GE Healthcare Japan's Hino factory (Photo: Business Wire)

AI unit solutions for manufacturing equipment, which are the first
solution in the Renesas e-AI solutions, implement fault detection and
predictive maintenance and are installed to existing facilities
equipment or machinery as an add-on device AI unit. It is possible to
adapt pre-trained neural network models (models in which learning has
been completed) in a period as short as a single day, and the sequence
of AI processing, from sensor data collection to data processing,
analysis, and evaluation/judgment, can be performed in real time. This
allows tiny errors and defects that previously were not seen to be
recognized immediately on the factory floor. As a result, not only are
wasteful efforts avoided, but also contribute to increased value of the
end product by, for example, improving product quality.

Taking the fact that Renesas was able to confirm these effects through a
proving test, Renesas intends to deploy its AI unit solutions globally.
Propositions will not only be made for the type of e-AI solution that is
added to existing production machinery, but types of solution that can
be included in manufacturing machinery in advance. Renesas is committed
to making the world's factories even smarter by working to expand our
e-AI solution lineup to accelerate endpoint intelligence.

GE Healthcare Japan's Hino Factory manufactures medical equipment such
as CT, MR, and ultrasound scanning devices. Of the roughly 450 GE group
manufacturing sites worldwide, Hino Factory is noted for its use of IoT
technologies and its high productivity and was selected as one of the
first seven sites to lead GE's "Brilliant Factory" initiative. Since
this factory went online in 1982, it has led the way in leading-edge
initiatives.

[Overview of the Proving Test]

At GE Healthcare Japan's Hino Factory, AI units were installed in
manufacturing equipment and a proving test was performed for early
detection of problems using fault detection and for effects of
identifying unsatisfactory items produced. In particular, a pre-trained
model was embedded into AI unit prototypes and mounted on the
manufacturing equipment. Processing states that were unable to be
grasped in the past could now be seen by measuring the signal waveform
data sent from the manufacturing equipment in extreme detail. Since the
endpoint equipment judged whether there was any abnormality or not and
sent only the abnormal test results, there was no need to increase
communication data volume. When an abnormal waveform is detected, an
alarm is set off in real time and manufacturing is temporarily stopped.
The testing proved that the production yield can increase up to 99.5% by
reducing unsatisfactory items and that productivity can be improved
significantly.

[Future Developments]

Having confirmed that the possibility of unsatisfactory product
occurrence could be reduced by immediately stopping production when an
abnormality is detected and as a result improving product yield, GE
Healthcare Japan's Hino Factory now plans to apply the AI units to mass
production manufacturing equipment. It was proved that since the "Predix"
IoT platform for industrial applications provided globally by GE Digital
had already been adopted at the Hino Factory, the state of manufacturing
equipment can be shared by uploading the judgement results to Predix in
real time on the cloud. Moving forward, Renesas and GE Healthcare Japan
will work together to further strengthen the connections between
Renesas' e-AI solutions and Predix and improve productivity, for
example, by analyzing long-term trends in manufacturing equipment.

"Many of the medical equipment products manufactured at this site are
expensive devices, therefore improving product yield by reducing
unsatisfactory products is a constant theme for improvement. Of those
efforts, the products that were the subject of this experiment are ones
for which defects and problems, until now, were detected by the
experience and intuitions of the workers on the factory floor," said
Kozaburo Fujimoto, Hino Factory Manager, GE Healthcare Japan. "We are
extremely pleased that this experiment that applies the Renesas AI Unit
Solution proves that it is possible to implement manufacturing processes
that do not depend on human operators and that it is possible to
increase production yield. We hope to continue working on this approach
and continue to strive to provide excellent value to our customers as
seen from the standpoints of quality, delivery time, and cost through
diligent improvements in productivity."

"We have already adopted our AI unit solutions in the semiconductor
etching process at our Naka Factory, and have been producing results in
abnormality detection and predictive maintenance in chemical changes,"
said Akira Denda, Vice President, Industrial Automation Business
Division, Renesas Electronics Corporation. "In this cooperative effort
with the GE Healthcare Japan's Hino Factory, we performed a proving test
in a production machine that moves mechanically, and it was able to
detect defect occurrences and connect with GE's industrial IoT platform
Predix, which were significant results. In the future, we hope to
advance the adoption of all types of our e-AI solutions at manufacturing
sites worldwide and contribute to improved productivity for our
customers."

About Renesas Electronics Corporation

Renesas Electronics Corporation (TSE:
6723
) delivers trusted embedded design innovation with complete
semiconductor solutions that enable billions of connected, intelligent
devices to enhance the way people work and live—securely and safely. A global
leader in microcontrollers, analog, power, and SoC products and
integrated platforms, Renesas provides the expertise, quality, and
comprehensive solutions for a broad range of Automotive, Industrial,
Home Electronics, Office Automation and Information Communication
Technology applications to help shape a limitless future. Learn more at renesas.com.

(Remarks) All trademarks are the property of their respective owners.

View Comments and Join the Discussion!