(16/02/24) British Airways is using the E-Logs platform
that uses real-time data to predict aircraft maintenance issues to
reduce delays and save the use of more than 900,000 pieces of
paper a year.
The system will provide live performance
information about all of the airline’s 270 jets, allowing BA to immediately spot potential problems and proactively fix
them and reduce downtime.
It is replacing a costly and time-consuming
paper-based system with an entirely automated process that makes
it much easier for pilots and cabin crew to log issues.
Ready for take off! British Airways A380 reg: G-XLEF at LHR. Picture by Steven Howard of TravelNewsAsia.com
“We’re using the latest technology to help ensure
we continue delivering a consistently high standard of service for
our customers – always with a focus on safety,” said Andy Best,
Chief Technical Officer at British Airways.
“Our investment in innovative tools like this, means we can
support our teams to identify and put solutions in place ahead of
time. By replacing time-consuming manual processes with digital
technology we are constantly improving the reliability of our
aircraft fleet and as a result our customers’ experience.”
Aircraft technical logs are a regulatory requirement that have
historically been paper-based. Flight and cabin crew would
log any faults in writing and these are then transcribed and
transferred to maintenance teams, which carry out any required
work and again update the aircraft maintenance log in writing.
The E-Logs system, which will see a number of specialist iPads
placed on every aircraft, will replace the paper-based system
entirely and allows the immediate transfer of data from the
aircraft to engineers within seconds – before the aircraft arrives
at its destination.
This means engineers can pre-order any
required parts and resolve issues more quickly on arrival,
reducing the amount of time planes are out of action.
The
technology, which forms part of BA’s £7 billion transformation
investment over the next two years, also allows BA to predict faults and pre-emptively
correct them before they become an issue that might take an
aircraft offline.
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