Vol 3 No 2 (2008)
Articles

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

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
How to Cite
Azcárate, C., Mallor, F., & Gafaro, A. (1). 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

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.