Multiobjective Optimization in Health Care Management. A metaheuristic and simulation approach.

Authors

  • Cristina Azcárate Department of Statistics and Operations Research, Public University of Navarre, Spain
  • Fermín Mallor Department of Statistics and Operations Research, Public University of Navarre, Spain
  • Aurora Gafaro Department of Statistics and Operations Research, Public University of Navarre, Spain

Abstract

This paper describes a methodology which combines elements of statistics, probability, mathematical programming, simulation, multiobjective optimization and metaheuristics, to analyze management problems in a health care context. We apply this approach to a staffing problem in a primary care center, taking into account both cost and service quality criteria. We illustrate our approach with a case study.

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How to Cite

Azcárate, C., Mallor, F., & Gafaro, A. (2008). Multiobjective Optimization in Health Care Management. A metaheuristic and simulation approach. Algorithmic Operations Research, 3(2). Retrieved from https://journals.lib.unb.ca/index.php/AOR/article/view/9704

Issue

Vol. 3 No. 2 (2008)

Section

Articles

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