Airline’s Approach to enhance Fuel Efficiency

Abstract

Fuel cost is the one of major cost items, taking up to 30 percent of total operating cost of an airline. Nowadays, Air Transport Industry also needs to address the way of reduction of carbon emission, due to global efforts concerned on responding to climate change. Managing fuel efficiency has become an inevitable task for airlines. This paper will present a new fuel efficiency index to replace the old ones and develop the Fuel Efficiency Prediction Model which will make airlines to improve their everyday fuel efficiency. The model has been developed by using Multiple Regression Analysis with five variables such as payload, air distance, outside air temperature, airplane performance monitoring figure, and aircraft center of gravity. Through the Fuel Efficiency Prediction Model, the influence on fuel efficiency of each variable have been identified and proved. Based on the Model, Airlines get to know how to enhance fuel efficiency logically.