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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Industrial and Systems Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
