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Location Models for Airline Hubs Behaving as M/D/C Queues

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Document pages: 32 pages

Abstract: 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.

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