Abstract
The following paper presents an innovative approach for dealing with complex capacity problems in aviation. We introduce a sliding window framework composed by an optimization method with a simulation component. By applying this framework in diverse problems that are dependent on time it is possible to find feasible and close-to-reality solutions in shorter time than the ones that could be achieved by evaluating the problem in the complete time-horizon. The framework can be applied to solve diverse problems in aviation or similar industries. We exemplify the approach with a model of Paris Charles de Gaulle Airport in France.
Original language | English |
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Pages | 2261-2272 |
Publication status | Published - 2018 |
Event | Winter Simulation Conference 2018 - Gothenburg, Sweden Duration: 9 Dec 2018 → 12 Dec 2018 |
Conference
Conference | Winter Simulation Conference 2018 |
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Abbreviated title | WSC 2018 |
Country/Territory | Sweden |
City | Gothenburg |
Period | 9/12/18 → 12/12/18 |