Multi-fidelity simulation optimisation for airline disruption management

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

doi:10.1109/WSC.2018.8632329

Multi-fidelity simulation optimisation for airline disruption management

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

Industrial Engineering and Management Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

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.

Original language	English (US)
Title of host publication	WSC 2018 - 2018 Winter Simulation Conference
Subtitle of host publication	Simulation for a Noble Cause
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2179-2190
Number of pages	12
ISBN (Electronic)	9781538665725
DOIs	https://doi.org/10.1109/WSC.2018.8632329
State	Published - Jul 2 2018
Event	2018 Winter Simulation Conference, WSC 2018 - Gothenburg, Sweden Duration: Dec 9 2018 → Dec 12 2018

Publication series

Name	Proceedings - Winter Simulation Conference
Volume	2018-December
ISSN (Print)	0891-7736

Conference

Conference	2018 Winter Simulation Conference, WSC 2018
Country/Territory	Sweden
City	Gothenburg
Period	12/9/18 → 12/12/18

Funding

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.

ASJC Scopus subject areas

Software
Modeling and Simulation
Computer Science Applications

Access to Document

10.1109/WSC.2018.8632329

Cite this

Rhodes-Leader, L., Worthington, D. J., Nelson, B. L., & Onggo, B. S. (2018). Multi-fidelity simulation optimisation for airline disruption management. In WSC 2018 - 2018 Winter Simulation Conference: Simulation for a Noble Cause (pp. 2179-2190). Article 8632329 (Proceedings - Winter Simulation Conference; Vol. 2018-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2018.8632329

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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.",

author = "Luke Rhodes-Leader and Worthington, \{David J.\} and Nelson, \{Barry L\} and Onggo, \{Bhakti Stephan\}",

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doi = "10.1109/WSC.2018.8632329",

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Rhodes-Leader, L, Worthington, DJ, Nelson, BL & Onggo, BS 2018, Multi-fidelity simulation optimisation for airline disruption management. in WSC 2018 - 2018 Winter Simulation Conference: Simulation for a Noble Cause., 8632329, Proceedings - Winter Simulation Conference, vol. 2018-December, Institute of Electrical and Electronics Engineers Inc., pp. 2179-2190, 2018 Winter Simulation Conference, WSC 2018, Gothenburg, Sweden, 12/9/18. https://doi.org/10.1109/WSC.2018.8632329

Multi-fidelity simulation optimisation for airline disruption management. / Rhodes-Leader, Luke; Worthington, David J.; Nelson, Barry L et al.
WSC 2018 - 2018 Winter Simulation Conference: Simulation for a Noble Cause. Institute of Electrical and Electronics Engineers Inc., 2018. p. 2179-2190 8632329 (Proceedings - Winter Simulation Conference; Vol. 2018-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Multi-fidelity simulation optimisation for airline disruption management

Abstract

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Conference

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ASJC Scopus subject areas

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