Big Data Analytics in Airlines: Efficiency Evaluation using DEA

Airline schedule planning is a crucial issue in airline operation typically designed most efficiently and effectively. Even so, the plan execution, including recovery actions to any prevailed irregularities, has a considerable impact on airline efficiency. Those activities produce a vast amount of operational data which contains valuable insights for businesses. This study aims to quantitively evaluate the operational efficiency in the airline scheduling and execution process by implementing big data analytics approach. Parameters for calculation are obtained from prior studies. These parameters are calculated using Data Envelopment Analysis (DEA) method to get efficiency scores for each operation process every month. Finally, we argue that the data analytics approach is beneficial to be implemented in airlines and find a decreasing trend in the efficiency score of the sample airline during 2017-2018.