Airline disruption recovery using symbiotic simulation and multi-fidelity modelling

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

Airline disruption recovery using symbiotic simulation and multi-fidelity modelling

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

Industrial Engineering and Management Sciences

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

4 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 language	English (US)
Title of host publication	Proceedings of the Operational Research Society Simulation Workshop 2018, SW 2018
Editors	Duncan Robertson, Masoud Fakhimi, Anastasia Anagnostou, Rudabeh Meskarian
Publisher	Operational Research Society
Pages	146-155
Number of pages	10
ISBN (Electronic)	9780903440639
State	Published - 2017
Event	2018 Operational Research Society Simulation Workshop, SW 2018 - Warwickshire, United Kingdom Duration: Mar 19 2018 → Mar 21 2018

Publication series

Name	Proceedings of the Operational Research Society Simulation Workshop 2018, SW 2018

Other

Other	2018 Operational Research Society Simulation Workshop, SW 2018
Country/Territory	United Kingdom
City	Warwickshire
Period	3/19/18 → 3/21/18

Funding

We gratefully acknowledge the financial support of the EPSRC funded EP/L015692/1 STOR-i Centre for Doctoral Training and the NSF Grant CMMI-1068473. We would also like to thank Nigel Jackson, Richard Standing and Mike Chester for the original research idea and contextual information.

Keywords

Airline disruption management
Multi-fidelity modelling
Symbiotic simulation

ASJC Scopus subject areas

Computer Science Applications
Computational Theory and Mathematics
Modeling and Simulation

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.

Rhodes-Leader, Luke ; Onggo, Bhakti Stephan ; Worthington, David J. et al. / Airline disruption recovery using symbiotic simulation and multi-fidelity modelling. Proceedings of the Operational Research Society Simulation Workshop 2018, SW 2018. editor / Duncan Robertson ; Masoud Fakhimi ; Anastasia Anagnostou ; Rudabeh Meskarian. Operational Research Society, 2017. pp. 146-155 (Proceedings of the Operational Research Society Simulation Workshop 2018, SW 2018).

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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.",

keywords = "Airline disruption management, Multi-fidelity modelling, Symbiotic simulation",

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series = "Proceedings of the Operational Research Society Simulation Workshop 2018, SW 2018",

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Rhodes-Leader, L, Onggo, BS, Worthington, DJ & Nelson, BL 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. Proceedings of the Operational Research Society Simulation Workshop 2018, SW 2018, Operational Research Society, pp. 146-155, 2018 Operational Research Society Simulation Workshop, SW 2018, Warwickshire, United Kingdom, 3/19/18.

Airline disruption recovery using symbiotic simulation and multi-fidelity modelling. / Rhodes-Leader, Luke; Onggo, Bhakti Stephan; Worthington, David J. et al.
Proceedings of the Operational Research Society Simulation Workshop 2018, SW 2018. ed. / Duncan Robertson; Masoud Fakhimi; Anastasia Anagnostou; Rudabeh Meskarian. Operational Research Society, 2017. p. 146-155 (Proceedings of the Operational Research Society Simulation Workshop 2018, SW 2018).

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

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AB - 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.

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Rhodes-Leader L, Onggo BS, Worthington DJ, Nelson BL. Airline disruption recovery using symbiotic simulation and multi-fidelity modelling. In Robertson D, Fakhimi M, Anagnostou A, Meskarian R, editors, Proceedings of the Operational Research Society Simulation Workshop 2018, SW 2018. Operational Research Society. 2017. p. 146-155. (Proceedings of the Operational Research Society Simulation Workshop 2018, SW 2018).

Airline disruption recovery using symbiotic simulation and multi-fidelity modelling

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Keywords

ASJC Scopus subject areas

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