Airline disruption recovery using symbiotic simulation and multi-fidelity modelling

Luke Rhodes-Leader, Bhakti Stephan Onggo, David J. Worthington, Barry L. Nelson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the Operational Research Society Simulation Workshop 2018, SW 2018
EditorsDuncan Robertson, Masoud Fakhimi, Anastasia Anagnostou, Rudabeh Meskarian
PublisherOperational Research Society
Pages146-155
Number of pages10
ISBN (Electronic)9780903440639
StatePublished - Jan 1 2017
Event2018 Operational Research Society Simulation Workshop, SW 2018 - Warwickshire, United Kingdom
Duration: Mar 19 2018Mar 21 2018

Publication series

NameProceedings of the Operational Research Society Simulation Workshop 2018, SW 2018

Other

Other2018 Operational Research Society Simulation Workshop, SW 2018
CountryUnited Kingdom
CityWarwickshire
Period3/19/183/21/18

Keywords

  • Airline disruption management
  • Multi-fidelity modelling
  • Symbiotic simulation

ASJC Scopus subject areas

  • Computer Science Applications
  • Computational Theory and Mathematics
  • Modeling and Simulation

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  • Cite this

    Rhodes-Leader, L., Onggo, B. S., Worthington, D. J., & Nelson, B. L. (2017). Airline disruption recovery using symbiotic simulation and multi-fidelity modelling. In D. Robertson, M. Fakhimi, A. Anagnostou, & R. Meskarian (Eds.), Proceedings of the Operational Research Society Simulation Workshop 2018, SW 2018 (pp. 146-155). (Proceedings of the Operational Research Society Simulation Workshop 2018, SW 2018). Operational Research Society.