AeroEdge Manufacturing Reduces Time to Insight
February 27, 2019
has helped Japanese aviation manufacturer AeroEdge significantly reduce
their time to insight. With faster and automated Yellowfin analytics,
AeroEdge is able to identify patterns that lead to manufacturing issues
and address them 80% faster, reducing their production time.
“With Yellowfin implemented, our operators now have an increased cost
awareness and we have improved our business profitability, so everything
has been moving in a great direction,” said Shingo Yamamoto, CIO, Chief
of IT Strategy Department, AeroEdge.
AeroEdge is one of only two manufacturers in the world producing low
pressure turbine blades, made from a titanium-aluminum alloy, for the
next-generation ‘LEAP’ jet engine. The precision of each blade is
critical and measured to within thousandths of a millimetre. To meet
these regulations at mass production volume, analytics is crucial to
ensure every step of the manufacturing process is optimized.
After in-depth comparison of business intelligence and analytics
platforms, AeroEdge chose Yellowfin for its ease of use for analysts and
business users, reducing development time as well as enabling them to
understand important metrics in real time and take effective action,
In addition, Yellowfin’s automated analytics product, Yellowfin Signals,
automatically notifies operators of any patterns that could lead to
manufacturing issues. By analyzing huge amounts of data from operators,
equipment, measurement points, and arrival dates of materials in real
time, Signals is able to automatically generate a list of incompatible
items in the Aeroedge production workflow. As well as helping increase
analysis efficiency, AeroEdge can pinpoint incompatibility from
materials through to a specific date.
has played a significant role in enabling AeroEdge to meet the demand of
their sizeable new contract with a French aviation engine manufacturer,”
said Yugo Hayashi, Managing Director of East Asia at Yellowfin.
“Yellowfin’s augmented analytics capabilities are changing the BI market
and empowering organizations to make the most of their huge volumes of
data. They are now being notified of patterns in their data that they
could have never uncovered with manpower alone.”
AeroEdge is now a fully data-driven manufacturing business with a strong
and healthy data culture among all its employees and is now exploring
the use of Yellowfin Signals for predictive analysis.
“We are now considering if Signals can help us to predict
incompatibility,” said Yuta Uchiyama, Manager of IT Strategy Department,
AeroEdge. “The core material is titanium aluminum. However, a slight
variation in the content of aluminum and oxygen changes the processing
performance. So, we are exploring using Signals to reduce the
incompatibility ratio in the future. If Signals helps to analyze these
incompatibility issues, I believe it will lead to further reduction of
the manufacturing processing time and improve the product quality.”