Citation

Goldberg J, Szidarovszky F. Oper. Res. 1991; 39(6): 903-916.

Affiliation

University of Arizona, Tucson.

Copyright

(Copyright © 1991, Operations Research Society of America, Publisher Institute for Operations Research and the Management Sciences)

DOI

unavailable

PMID

10116044

Abstract

In this paper we present two iterative methods for solving a model to evaluate busy probabilities for Emergency Medical Service (EMS) vehicles. The model considers location dependent service times and is an alternative to the mean service calibration method; a procedure, used with the Hypercube Model, to accommodate travel times and location-dependent service times. We use monotonicity arguments to prove that one iterative method always converges to a solution. A large computational experiment suggests that both methods work satisfactorily in EMS systems with low ambulance busy probabilities and the method that always converges to a solution performs significantly better in EMS systems with high busy probabilities.

Language: en