Mu1ticriteria tour planning for mobile healthcare facilities in a developing country

Mu1ticriteria tour planning for mobile healthcare facilities in a developing country

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Article ID: iaor2009454
Country: Netherlands
Volume: 179
Issue: 3
Start Page Number: 1078
End Page Number: 1096
Publication Date: Jun 2007
Journal: European Journal of Operational Research
Authors: , ,
Keywords: combinatorial optimization, heuristics, programming: multiple criteria, developing countries
Abstract:

A multiobjective combinatorial optimization (MOCO) formulation for the following location–routing problem in healthcare management is given: For a mobile healthcare facility, a closed tour with stops selected from a given set of population nodes has to be found. Tours are evaluated according to three criteria: (i) an economic efficiency criterion related to the tour length, (ii) the criterion of average distances to the nearest tour stops corresponding to p-median location problem formulations, and (iii) a coverage criterion measuring the percentage of the population unable to reach a tour stop within a predefined maximum distance. Three algorithms to compute approximations to the set of Pareto-efficient solutions of the described MOCO problem are developed.

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