Selection of the Most Beneficial Flight Training Venue in the Airline Industry Using the Analytic Hierarchy Process (AHP)

Redentor R. Payumo, Anak Agung Ngurah Perwira Redi, Josephine D. German*, Satria Fadil Persada, Reny Nadlifatin

*Corresponding author for this work

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

Abstract

The airline industry is a highly regulated industry where every aspect of operation requires adherence to regulations and policies mandated by the government. Safety is the core value-offering of fast and reliable air services, and this is achieved in part by the robust training requirement for pilots. Pilot training and qualifications are achieved with the use of full flight simulators. The significant costs involved in the use of the simulator, other additional costs involved, and the need to minimize pilots' time away from flight duties while undergoing training, require an effective selection process to decide on the most beneficial training venue. Not much research has been done on this topic area and the research gap necessitates a study of this nature. The goal is to provide a criteria analysis to support the simulator training venue decision process with the use of analytic hierarchy process (AHP). The analysis resulted to a selection among the alternatives that provide the best training venue for pilot training based on the evaluated criteria. It proved the applicability of the AHP when deciding on available alternatives based on set criteria. This study will contribute to the management of training requirements conducted by airlinetraining organizations and help their heads/managers/decision-makers in utilizing decision-making tools and processes when choosing the best alternative among available training resources.

Original languageEnglish
Title of host publicationMSIE 2023 - 2023 5th International Conference on Management Science and Industrial Engineering
PublisherAssociation for Computing Machinery
Pages91-97
Number of pages7
ISBN (Electronic)9798400708381
DOIs
Publication statusPublished - 27 Apr 2023
Event5th International Conference on Management Science and Industrial Engineering, MSIE 2023 - Chiang Mai, Thailand
Duration: 27 Apr 202329 Apr 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on Management Science and Industrial Engineering, MSIE 2023
Country/TerritoryThailand
CityChiang Mai
Period27/04/2329/04/23

Keywords

  • airline industry
  • analytic hierarchy process (AHP)
  • flight training venue
  • safety

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