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Airline disruption recovery using symbiotic simulation and multi-fidelity modelling

Airline disruption recovery using symbiotic simulation and multi-fidelity modelling
Airline disruption recovery using symbiotic simulation and multi-fidelity modelling

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 poster 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. The poster will present the latest results of our research.

0891-7736
4588-4589
Institute of Electrical and Electronics Engineers Inc.
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Chan, Victor
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Chan, Victor

Onggo, Bhakti Stephan (2017) Airline disruption recovery using symbiotic simulation and multi-fidelity modelling. Chan, Victor (ed.) In 2017 Winter Simulation Conference, WSC 2017. Institute of Electrical and Electronics Engineers Inc. pp. 4588-4589 . (doi:10.1109/WSC.2017.8248218).

Record type: Conference or Workshop Item (Paper)

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 poster 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. The poster will present the latest results of our research.

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More information

Published date: 28 June 2017
Additional Information: Publisher Copyright: © 2017 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.
Venue - Dates: 2017 Winter Simulation Conference, WSC 2017, , Las Vegas, United States, 2017-12-03 - 2017-12-06

Identifiers

Local EPrints ID: 447431
URI: http://eprints.soton.ac.uk/id/eprint/447431
ISSN: 0891-7736
PURE UUID: 65c9da79-47e6-43b8-9afe-0221c498bc1a
ORCID for Bhakti Stephan Onggo: ORCID iD orcid.org/0000-0001-5899-304X

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Date deposited: 11 Mar 2021 17:34
Last modified: 28 Apr 2022 02:26

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Editor: Victor Chan

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