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A Lagrangian heuristic algorithm for a public healthcare facility location problem

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  • Dong-Guen Kim
  • Yeong-Dae Kim

Abstract

We consider a healthcare facility location problem in which there are two types of patients, low-income patients and middle- and high-income patients. The former can use only public facilities, while the latter can use both public facilities and private facilities. We focus on the problem of determining locations of public healthcare facilities to be established within a given budget and allocating the patients to the facilities for the objective of maximizing the number of served patients while considering preference of the patients for the public and private facilities. We present an integer programming formulation for the problem and develop a heuristic algorithm based on Lagrangian relaxation and subgradient optimization methods. Results of computational experiments on a number of problem instances show that the algorithm gives good solutions in a reasonable computation time and may be effectively used by the healthcare authorities of the government. Copyright Springer Science+Business Media New York 2013

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  • Dong-Guen Kim & Yeong-Dae Kim, 2013. "A Lagrangian heuristic algorithm for a public healthcare facility location problem," Annals of Operations Research, Springer, vol. 206(1), pages 221-240, July.
  • Handle: RePEc:spr:annopr:v:206:y:2013:i:1:p:221-240:10.1007/s10479-013-1378-4
    DOI: 10.1007/s10479-013-1378-4
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    4. S. Khodaparasti & H. R. Maleki & S. Jahedi & M. E. Bruni & P. Beraldi, 2017. "Enhancing community based health programs in Iran: a multi-objective location-allocation model," Health Care Management Science, Springer, vol. 20(4), pages 485-499, December.
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