Big data analytics in airlines: Efficiency evaluation using DEA

Zudha Aulia Rachman, Arviansysh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2019 7th International Conference on Information and Communication Technology, ICoICT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538680520
DOIs
Publication statusPublished - Jul 2019
Event7th International Conference on Information and Communication Technology, ICoICT 2019 - Kuala Lumpur, Malaysia
Duration: 24 Jul 201926 Jul 2019

Publication series

Name2019 7th International Conference on Information and Communication Technology, ICoICT 2019

Conference

Conference7th International Conference on Information and Communication Technology, ICoICT 2019
Country/TerritoryMalaysia
CityKuala Lumpur
Period24/07/1926/07/19

Keywords

  • Airline Efficiency
  • Airline Scheduling
  • Data Analytics
  • Data Integration
  • DEA

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