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Multi-fidelity simulation optimisation for airline disruption management

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

Published
Publication date4/02/2019
Host publication2018 Winter Simulation Conference (WSC)
PublisherIEEE
Pages2179-2190
Number of pages12
ISBN (Electronic)9781538665725
Original languageEnglish

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.