Although AirAsia still reaps the benefits of first mover advantage in several of its markets and continues to outperform nearly all of its peers, competition has intensified as other regional airlines look to duplicate its winning formula. With the airline using some 1.4 billion kg of fuel each year (or approximately 12 million barrels of fuel) and with fuel taking up 50 percent of its overall costs, optimising fuel efficiency was a primary concern. This made it imperative for the airline to boost its fuel savings as well as to optimise navigation performance and procedures.
FES utilises the power of the industrial internet to help AirAsia make significant savings by implementing precision navigation services, flight data analytics and fuel management services. The GE FES data-driven services are used to identify ways to reduce operating costs, increase aircraft utilisation and obtain savings throughout the AirAsia network; the target being the bottom-line operational savings of approximately USD30-50 million over a five year period.
The FES-AirAsia team use advanced data analytics to evaluate and qualify savings opportunities, before deploying airline and change management expertise to implement changes to operational policies and procedures, where the outcomes are measured and reported using dashboards. FES has enabled AirAsia to optimise climb profiles; launch a single-engine taxi program; use sophisticated statistical algorithms to plan taxi and contingency fuel requirements; optimise departure tracks; and minimise the use of the plane’s Auxiliary Power Unit (APU).
Another way efficiency is gained is by Required Navigation Performance (RNP) which is a performance-based navigation procedure that enables an aircraft to precisely fly optimal predetermined paths by using a combination of modern flight management computers, GPS technology and innovative procedure design. The RNP paths reduce flight distances as well as help aircraft navigate safely in challenging terrain and weather.
The ongoing collaboration between GE FES and AirAsia in utilising data capture and analytics software has helped AirAsia save over 1% in fuel expenditure yearly so far. The approval from the Department of Civil Aviation to enable single engine taxi-in and taxi-out translates into 68 kg of fuel savings per flight; this strategy was a first for a Malaysian airline. Climb profile optimization saved an additional 21.24 kg of fuel on each flight, and the Required Navigation Performance (RNP) Precision Guided Approach saved 15 miles per landing.
There is tremendous potential for AirAsia to continue harnessing the power of the industrial internet to connect people, machines, and BDA to deliver better outcomes. In aviation, GE’s integrated flight data and analytics provide insights to identify and implement sustainable fuel savings. Its patented performance analytics combine an aircraft’s flight data, weather, navigation, risk data and fuel operation to provide business intelligence for significant cost savings. And its intelligent operations provide airlines and cargo carriers around the world with services focused on improving efficiency by leveraging aircraft performance data, prognostics and recovery. Clearly, efficiencies for the airline go beyond the physical engine. It is about using data and analytics to continuously identify ways to reduce operating costs, increase aircraft utilization and improve the way we fly.