Multi-fidelity simulation optimisation for airline disruption management

Rhodes-Leader, Luke and Worthington, David John and Nelson, Barry Lee and Onggo, Bhakti Satyabuhdi Stephan (2019) Multi-fidelity simulation optimisation for airline disruption management. In: 2018 Winter Simulation Conference (WSC). IEEE, pp. 2179-2190. ISBN 9781538665725

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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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19 Feb 2019 10:20
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15 Sep 2023 02:00