NO. 11E-Book
SAP Center for Business Insight | Brief | Q&A | Case Study | Inquiry | E-Book
The Future of Transportation Maintenance
The Future of Transportation Maintenance2 NO. 11©2013 SAP AG or an SAP affiliate company. All rights reserved.
Airline-related(maintenance, supply chain, operations,
ground handling)
Air traffic & flight control
Weather Miscellaneous Airport operations(non-airline or cross-airline)
Airport security
42% 33% 11% 6% 5% 3%
An analysis of International Air Transport Association (IATA) delay codes shows that airline-controlled processes, such as maintenance, ground handling, and supply chain, are the leading cause of late flights.
Maintenance Is a Major Contributor to Delays
Excerpted from: Flying Blind
The Future of Transportation Maintenance3 NO. 11©2013 SAP AG or an SAP affiliate company. All rights reserved.
Why Airlines Need to Keep Planes in the Air
The newest jumbo jet
Average planes in a major airline fleet
Optimal airtime for long-range planes
Cost per hour of downtime per plane
200 $10K18HOURS
Excerpted from: Flying Blind
$200M –$390M
The Future of Transportation Maintenance4 NO. 11©2013 SAP AG or an SAP affiliate company. All rights reserved.
To Improve Maintenance, Airlines Must Gather the Right Data
DATA SOURCES INCLUDE:
Today, maintenance orders are run in overnight batches on decades-old IT systems. That’s tolerable for routine maintenance but does little to address the unexpected—such as an unforeseen engine fault. To improve response time, airlines must gather the right data, preferably in real time.
Airplanes
Airlines
Aircraft manufacturers
Externalmaintenance
providers
Regulators
Spare-parts suppliers
Source: The Next Revolution in Transportation: Predictive Maintenance
The Future of Transportation Maintenance5 NO. 11©2013 SAP AG or an SAP affiliate company. All rights reserved.
The Holy Grail: Predictive Maintenance
Michael Denis, Vice President of Customer Engagement at InfoTrust Group
WE DON’T KNOW WHAT WE COULD DISCOVER IF WE MASHED UP ALL THESE SOURCES OF LATENT AND REAL-TIME DATA. THERE’S HUGE POTENTIAL IN INCREASING THE REVENUE-GENERATING CAPABILITY OF PLANES. ”
“
Source: Q&A: Holding Pattern
The Future of Transportation Maintenance6 NO. 11©2013 SAP AG or an SAP affiliate company. All rights reserved.
Predictive maintenance
If airlines had visibility across the ecosystem of maintenance participants, they could build deep data stores on part lifespan, enabling them to schedule maintenance before a part fails.
Proactive crew response
If crews received alerts when a part was failing during a flight, they could have the necessary experts and parts ready when the plane lands instead of waiting until performing a check on the ground.
Opportunistic maintenance scheduling
If a maintenance engineer has to open the wing to deal with an unexpected fault, he could proactively perform upcoming routine maintenance while he’s in there.
Dynamic maintenance packaging
Instead of taking a plane out of service for 10 days for maintenance, crews could make 10 overnight checks when the plane is on the ground anyway.
Exact fuel requirements
Crews could give a plane exactly the fuel it needs rather than weighing it down with an extra buffer that is based solely on a lack of information.
A new kind of data analysis could underpin new maintenance practices that save millions and improve customer satisfaction:
Next-Generation Maintenance: Dynamic, Opportunistic, and Real Time
TO LEARN MORE ABOUT HOW AIRLINES COULD IMPROVE MAINTENANCE OPERATIONS, READ OUR IN-DEPTH REPORT, FLYING BLIND.
The SAP Center for Business Insight is an organization that discovers and develops new research- based thinking to address the challenges of business and technology executives.
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SAP Center for Business Insight | Brief | Q&A | Case Study | Inquiry | E-Book
NO. 11