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

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.