Case study on the ambulance location in the Dominican republic

Abstract

Since the 1980s, several studies have been conducted on the accurate estimation of expected coverage for the emergency medical service (EMS) location problem framework. In this thesis, we proposed a location covering model based on the Maximum Expected Coverage Location Problem (MEXCLP) formulation, which includes server-specific workloads. The workload of each server is obtained through a multiple server hypercube queueing model. Given the interdependency of the location variable and the problem parameter, heuristics should be used to obtain a solution. We solve the problem using a CPLEX Iterative Procedure and a meta-heuristic based on opposition based learning: GOjDE.