Stochastic optimization models for the airport gate assignment problem

Merve Şeker and Nilay Noyan

Transportation Research Part E: Logistics and Transportation Review, 2012, vol. 48, issue 2, 438-459

Abstract: Uncertainties inherent in the airport traffic may lead to the unavailability of gates for accommodating scheduled flights. Incorporating random disruptions is crucial in constructing effective flight-gate assignments. We consider the gate assignment problem under uncertainty in flight arrival and departure times and develop stochastic programming models incorporating robustness measures based on the number of conflicting flights, idle and buffer times. The proposed models are formulated as large-scale mixed-integer programming problems and tabu search algorithms are implemented to obtain assignments of reasonable quality. We conduct a computational study to analyze the proposed alternate models and show the effectiveness of the solution methods.

Keywords: Gate assignment; Random disruptions; Stochastic arrival times; Robustness; Stochastic programming; Tabu search (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (11)

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DOI: 10.1016/j.tre.2011.10.008

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