Multi-fidelity simulation optimisation for airline disruption management
Multi-fidelity simulation optimisation for airline disruption management
The airline industry faces many causes of disruption. To minimise financial and reputational impact, the airline must adapt its schedules. Due to the complexity of the environment, simulation is a natural modelling approach. However, the large solution space, time constraints and system constraints make the search for revised schedules difficult. This paper presents a method for the aircraft recovery problem that uses multi-fidelity modelling including a trust region simulation optimisation algorithm to mitigate the computational costs of using high-fidelity simulations with its benefits for providing good estimates of the true performance.
2179-2190
Rhodes-Leader, Luke
884bf0d4-5f5a-4d7c-8c30-347ab8260d54
Worthington, David J.
9945be61-6858-42df-b781-613c2098896b
Nelson, Barry L.
332ef549-5dc1-4f76-8aa8-6ff91b1165a4
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
31 January 2019
Rhodes-Leader, Luke
884bf0d4-5f5a-4d7c-8c30-347ab8260d54
Worthington, David J.
9945be61-6858-42df-b781-613c2098896b
Nelson, Barry L.
332ef549-5dc1-4f76-8aa8-6ff91b1165a4
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Rhodes-Leader, Luke, Worthington, David J., Nelson, Barry L. and Onggo, Bhakti Stephan
(2019)
Multi-fidelity simulation optimisation for airline disruption management.
In WSC 2018 - 2018 Winter Simulation Conference: Simulation for a Noble Cause.
vol. 2018-December,
IEEE.
.
(doi:10.1109/WSC.2018.8632329).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The airline industry faces many causes of disruption. To minimise financial and reputational impact, the airline must adapt its schedules. Due to the complexity of the environment, simulation is a natural modelling approach. However, the large solution space, time constraints and system constraints make the search for revised schedules difficult. This paper presents a method for the aircraft recovery problem that uses multi-fidelity modelling including a trust region simulation optimisation algorithm to mitigate the computational costs of using high-fidelity simulations with its benefits for providing good estimates of the true performance.
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Published date: 31 January 2019
Additional Information:
Funding Information:
We gratefully acknowledge the financial support of the EPSRC funded EP/L015692/1 STOR-i Centre for Doctoral Training, the NSF Grant CMMI-1068473 and Rolls-Royce Limited. We would also like to thank Nigel Jackson, Richard Standing, Stewart Preston and Mike Chester at Rolls-Royce (R2 Data Labs) for the original research idea and contextual information.
Publisher Copyright:
© 2018 IEEE
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
Venue - Dates:
WSC 2018 Winter Simulation Conference: Simulation for a Noble Cause, , Gothenburg, Sweden, 2018-12-09 - 2018-12-12
Identifiers
Local EPrints ID: 430629
URI: http://eprints.soton.ac.uk/id/eprint/430629
ISSN: 0891-7736
PURE UUID: 3f0acc07-12cc-43ae-ac87-10ff75308054
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Date deposited: 07 May 2019 16:30
Last modified: 18 Mar 2024 03:50
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Contributors
Author:
Luke Rhodes-Leader
Author:
David J. Worthington
Author:
Barry L. Nelson
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