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Location models for airline hubs behaving as M/D/c queues
Marianov, Vladimir; Serra, Daniel
Universitat Pompeu Fabra. Departament d'Economia i Empresa
Models are presented for the optimal location of hubs in airline networks, that take into consideration the congestion effects. Hubs, which are the most congested airports, are modeled as M/D/c queuing systems, that is, Poisson arrivals, deterministic service time, and {\em c} servers. A formula is derived for the probability of a number of customers in the system, which is later used to propose a probabilistic constraint. This constraint limits the probability of {\em b} airplanes in queue, to be lesser than a value $\alpha$. Due to the computational complexity of the formulation. The model is solved using a meta-heuristic based on tabu search. Computational experience is presented.
2005-09-15
Operations Management
hub location
congestion
tabu-search
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Working Paper
         

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