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A multi-fidelity modelling approach for airline disruption management using simulation

A multi-fidelity modelling approach for airline disruption management using simulation
A multi-fidelity modelling approach for airline disruption management using simulation
Disruption is a serious and common problem for the airline industry. High utilisation of aircraft and airport resources mean that disruptive events can have large knock-on effects for the rest of the schedule. The airline must rearrange their schedule to reduce the impact. The focus in this paper is on the Aircraft Recovery Problem. The complexity and uncertainty involved in the industry makes this a difficult problem to solve. Many deterministic modelling approaches have been proposed, but these struggle to handle the inherent variability in the problem. This paper proposes a multi-fidelity modelling framework, enabling uncertain elements of the environment to be included within the decision making
process. We combine a deterministic integer program to find initial solutions and a novel simulation optimisation procedure to improve these solutions. This allows the solutions to be evaluated whilst accounting for the uncertainty of the problem. The empirical evaluation suggests that the combination consistently finds good rescheduling options.
0160-5682
Rhodes-Leader, Luke
884bf0d4-5f5a-4d7c-8c30-347ab8260d54
Nelson, Barry
33ff7519-736f-4039-8f89-e21edac21e6a
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Worthington, David
ab73db70-8d63-4991-b743-c0c2f8ca6c47
Rhodes-Leader, Luke
884bf0d4-5f5a-4d7c-8c30-347ab8260d54
Nelson, Barry
33ff7519-736f-4039-8f89-e21edac21e6a
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Worthington, David
ab73db70-8d63-4991-b743-c0c2f8ca6c47

Rhodes-Leader, Luke, Nelson, Barry, Onggo, Bhakti Stephan and Worthington, David (2021) A multi-fidelity modelling approach for airline disruption management using simulation. Journal of the Operational Research Society. (In Press)

Record type: Article

Abstract

Disruption is a serious and common problem for the airline industry. High utilisation of aircraft and airport resources mean that disruptive events can have large knock-on effects for the rest of the schedule. The airline must rearrange their schedule to reduce the impact. The focus in this paper is on the Aircraft Recovery Problem. The complexity and uncertainty involved in the industry makes this a difficult problem to solve. Many deterministic modelling approaches have been proposed, but these struggle to handle the inherent variability in the problem. This paper proposes a multi-fidelity modelling framework, enabling uncertain elements of the environment to be included within the decision making
process. We combine a deterministic integer program to find initial solutions and a novel simulation optimisation procedure to improve these solutions. This allows the solutions to be evaluated whilst accounting for the uncertainty of the problem. The empirical evaluation suggests that the combination consistently finds good rescheduling options.

Text
TJOR-2020-OP-0610.R1_Proof_hi - Accepted Manuscript
Restricted to Repository staff only until 30 September 2022.
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Accepted/In Press date: 20 August 2021

Identifiers

Local EPrints ID: 450992
URI: http://eprints.soton.ac.uk/id/eprint/450992
ISSN: 0160-5682
PURE UUID: 9baca489-ebde-4e86-b91a-a527e6bb9204
ORCID for Bhakti Stephan Onggo: ORCID iD orcid.org/0000-0001-5899-304X

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Date deposited: 01 Sep 2021 16:30
Last modified: 13 Dec 2021 03:31

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Contributors

Author: Luke Rhodes-Leader
Author: Barry Nelson
Author: David Worthington

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