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Airline Disruption Recovery Using Symbiotic Simulation and Multi-fidelity Modelling

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Airline Disruption Recovery Using Symbiotic Simulation and Multi-fidelity Modelling. / Rhodes-Leader, Luke; Onggo, Bhakti Satyabuhdi Stephan; Worthington, David J.; Nelson, Barry Lee.

Proceedings of the 9th Operational Research Society Simulation Workshop (SW18). Operational Research Society, 2018. p. 146-155.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Rhodes-Leader, L, Onggo, BSS, Worthington, DJ & Nelson, BL 2018, Airline Disruption Recovery Using Symbiotic Simulation and Multi-fidelity Modelling. in Proceedings of the 9th Operational Research Society Simulation Workshop (SW18). Operational Research Society, pp. 146-155. <http://www.theorsociety.com/DocumentRepository/Browse.aspx?DocID=950>

APA

Rhodes-Leader, L., Onggo, B. S. S., Worthington, D. J., & Nelson, B. L. (2018). Airline Disruption Recovery Using Symbiotic Simulation and Multi-fidelity Modelling. In Proceedings of the 9th Operational Research Society Simulation Workshop (SW18) (pp. 146-155). Operational Research Society. http://www.theorsociety.com/DocumentRepository/Browse.aspx?DocID=950

Vancouver

Rhodes-Leader L, Onggo BSS, Worthington DJ, Nelson BL. Airline Disruption Recovery Using Symbiotic Simulation and Multi-fidelity Modelling. In Proceedings of the 9th Operational Research Society Simulation Workshop (SW18). Operational Research Society. 2018. p. 146-155

Author

Rhodes-Leader, Luke ; Onggo, Bhakti Satyabuhdi Stephan ; Worthington, David J. ; Nelson, Barry Lee. / Airline Disruption Recovery Using Symbiotic Simulation and Multi-fidelity Modelling. Proceedings of the 9th Operational Research Society Simulation Workshop (SW18). Operational Research Society, 2018. pp. 146-155

Bibtex

@inproceedings{75b11877ca644b0aa4ddd68e3c5586fe,
title = "Airline Disruption Recovery Using Symbiotic Simulation and Multi-fidelity Modelling",
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.",
author = "Luke Rhodes-Leader and Onggo, {Bhakti Satyabuhdi Stephan} and Worthington, {David J.} and Nelson, {Barry Lee}",
year = "2018",
month = mar,
day = "19",
language = "English",
isbn = "9780903440639",
pages = "146--155",
booktitle = "Proceedings of the 9th Operational Research Society Simulation Workshop (SW18)",
publisher = "Operational Research Society",

}

RIS

TY - GEN

T1 - Airline Disruption Recovery Using Symbiotic Simulation and Multi-fidelity Modelling

AU - Rhodes-Leader, Luke

AU - Onggo, Bhakti Satyabuhdi Stephan

AU - Worthington, David J.

AU - Nelson, Barry Lee

PY - 2018/3/19

Y1 - 2018/3/19

N2 - 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.

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.

M3 - Conference contribution/Paper

SN - 9780903440639

SP - 146

EP - 155

BT - Proceedings of the 9th Operational Research Society Simulation Workshop (SW18)

PB - Operational Research Society

ER -