Location models for airline hubs behaving as M/D/c queues

Vladimir Marianov and Daniel Serra ()

Economics Working Papers from Department of Economics and Business, Universitat Pompeu Fabra

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.

Keywords: Hub location; congestion; tabu-search (search for similar items in EconPapers)
JEL-codes: C61 R12 R53 (search for similar items in EconPapers)
Date: 2000-03
New Economics Papers: this item is included in nep-ind and nep-reg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:upf:upfgen:453

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