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.
|Publication status||Published - 2018|
|Event||Winter Simulation Conference 2018 - Gothenburg, Sweden|
Duration: 9 Dec 2018 → 12 Dec 2018
|Conference||Winter Simulation Conference 2018|
|Abbreviated title||WSC 2018|
|Period||9/12/18 → 12/12/18|