Locating emergency services with priority rules: The priority queuing covering location problem
One of the assumptions of the Capacitated Facility Location Problem (CFLP) is that demand is known and fixed. Most often, this is not the case when managers take some strategic decisions such as locating facilities and assigning demand points to those facilities. In this paper we consider demand as stochastic and we model each of the facilities as an independent queue. Stochastic models of manufacturing systems and deterministic location models are put together in order to obtain a formula for the backlogging probability at a potential facility location. Several solution techniques have been proposed to solve the CFLP. One of the most recently proposed heuristics, a Reactive Greedy Adaptive Search Procedure, is implemented in order to solve the model formulated. We present some computational experiments in order to evaluate the heuristics’ performance and to illustrate the use of this new formulation for the CFLP. The paper finishes with a simple simulation exercise.
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- Vladimir Marianov & Daniel Serra, 1994. "Probabilistic maximal covering location models for congested systems," Economics Working Papers 70, Department of Economics and Business, Universitat Pompeu Fabra.
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- Barton H. Hamilton & Vivian Ho & Dana P. Goldman, 2000. "Queuing for Surgery: Is the U.S. or Canada Worse Off?," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 297-308, May.
- Marianov, Vladimir & Serra, Daniel, 2001.
"Hierarchical location-allocation models for congested systems,"
European Journal of Operational Research,
Elsevier, vol. 135(1), pages 195-208, November.
- Vladimir Marianov & Daniel Serra, 2000. "Hierarchical location-allocation models for congested systems," Economics Working Papers 425, Department of Economics and Business, Universitat Pompeu Fabra.
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