Data analytics in managing aircraft routing and maintenance staffing with price competition by a Stackelberg-Nash game model

Abdelrahman E.E. Eltoukhy, Z. X. Wang, Felix T.S. Chan, X. Fu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

14 Citations (Scopus)


This study develops a Stackelberg-Nash game model (SNGM) to capture the interdependence between aircraft routing of airlines and maintenance staffing of maintenance providers, and to consider the price competition among maintenance providers. The SNGM's overall Nash equilibrium is obtained using an iterative game algorithm. The SNGM effectiveness is demonstrated with a case study, in which a neural network-based algorithm is developed to forecast accurate non-propagated delays, and a multiple linear regression algorithm is adopted to predict demand-price relationship for each maintenance provider. The results reveal cost savings of about 26% and 22% for the airline and the maintenance providers, respectively.

Original languageEnglish
Pages (from-to)143-168
Number of pages26
JournalTransportation Research Part E: Logistics and Transportation Review
Publication statusPublished - 1 Feb 2019


  • Aircraft routing problem
  • Data analytics
  • Game theory
  • Maintenance staffing problem

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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