Abstract
Airlines rely on flight dispatchers to perform the duty of fuel planning. In addition to required fuel loading categories, flight dispatchers also uplift contingency fuel to be on the aircraft to hedge against various uncertainties to ensure flight safety and reduce the risk of diversions. Excess fuel on board reduces payload and increases fuel burn. In order to reduce fuel consumption, the optimization of fuel policy is one of its technical. In this paper, a statistical method to fuel policy optimization with QAR data analysis. The QAR and flight plan data are used to analysis. As an example, the flight’s data from Beijing to Bangkok is analyzed with statistical inference. The results of data analysis show that the fuel policy can be optimized by historical data analysis and statistical method.
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