Abstract | ||
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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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Year | DOI | Venue |
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2018 | 10.1109/WSC.2018.8632329 | WSC '18: Winter Simulation Conference
Gothenburg
Sweden
December, 2018 |
Field | DocType | ISSN |
Trust region,Fidelity,Systems engineering,Computer science,Operations research,Schedule,Disruption management | Conference | 0891-7736 |
ISBN | Citations | PageRank |
978-1-5386-6570 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luke Rhodes-Leader | 1 | 0 | 0.34 |
David J. Worthington | 2 | 21 | 3.10 |
Barry L. Nelson | 3 | 1876 | 257.62 |
B S S Onggo | 4 | 82 | 14.17 |