Title: A two-stage stochastic programming model for integrated airport surface operations under uncertainties
Authors: Wenbin Wei; Minnie H. Patel; Amy Choy
Department of Aviation and Technology, San Jose State University, One Washington Square, San Jose, CA 95192-0061, USA
Department of Industrial and System Engineering, San Jose State University, One Washington Square, San Jose, CA 95192-0085, USA
929 E. El Camino Real #314E, Sunnyvale, CA 94087, USA
Abstract: In this research, we have built a scenario tree-based two-stage stochastic programming model to optimise airport surface operations as an integrated system by taking into consideration uncertainties. We consider the uncertainties in aircraft readiness time for pushback and taxi speed due to weather conditions, which occur commonly in reality. The model assumptions and implications are consistent with practice. Our mathematical models, implemented in OPL-CPLEX, are applied to an airport with two runways and a taxiway network of 41 nodes and 70 links. The solution results are consistent with our expectations. We also quantify the benefit of the stochastic-programming approach through comparison with the deterministic models.
Keywords: two-stage stochastic programming; scenario tree; uncertainties; airport surface operations; stochastic modelling; aircraft readiness time; aircraft pushback; aircraft taxi speed; weather conditions; mathematical modelling; airport operations; airports.
Int. J. of Industrial and Systems Engineering, 2014 Vol.18, No.1, pp.1 - 30
Available online: 14 Aug 2014