Home > Research > Publications & Outputs > Airline Disruption Recovery Using Symbiotic Sim...

Electronic data

  • SW18submission

    Accepted author manuscript, 159 KB, PDF-document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

View graph of relations

Airline Disruption Recovery Using Symbiotic Simulation and Multi-fidelity Modelling

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published
Publication date19/03/2018
Host publicationProceedings of the 9th Operational Research Society Simulation Workshop (SW18)
PublisherOperational Research Society
Pages146-155
Number of pages10
ISBN (Print)9780903440639
Original languageEnglish

Abstract

The airlines industry is prone to disruption due to various causes. Whilst an airline may not be able to control the causes of disruption, it can reduce the impact of a disruptive event, such as a mechanical failure, with its response by revising the schedule. Potential actions include swapping aircraft, delaying flights and cancellations. This paper will present our research into how symbiotic simulation could potentially be used to improve the response to a disruptive event by evaluating potential revised schedules. Due to the large solution space, exhaustive searches are infeasible. Our research is investigating the use of multi-fidelity models to help guide the search of the optimisation algorithm, leading to good solutions being generated within the time constraints of disruption management.