A lexicographic approach to health care optimization: case studies
Fecha
2014Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Trabajo Fin de Grado/Gradu Amaierako Lana
Impacto
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nodoi-noplumx
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Resumen
The objective of this project is to solve two optimization multi-criteria models (a bi-criteria one and a triple objective one) using a Lexicographic approach. These models are about the assignment of workers to the different job or services of a real hospital, taking into account the available budget and requirements of each job. The software used for solving it is AMPL programming language with ...
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The objective of this project is to solve two optimization multi-criteria models (a bi-criteria one and a triple objective one) using a Lexicographic approach. These models are about the assignment of workers to the different job or services of a real hospital, taking into account the available budget and requirements of each job. The software used for solving it is AMPL programming language with solver CPLEX v9.1 that uses the Branch and Bound method. Both, Lexicographic approach and Branch and Bound method are also explained in this paper.
Before the resolution of those models we show several optimization cases applied to health care institutions. We talk about nurse rostering problems, allocation and management problems. [--]
Materias
Lexicographic approach,
Models
Departamento
Universidad Pública de Navarra. Departamento de Estadística e Investigación Operativa /
Nafarroako Unibertsitate Publikoa. Estatistika eta Ikerketa Operatiboa Saila
Titulación
Graduado o Graduada en Ingeniería en Tecnologías Industriales por la Universidad Pública de Navarra /
Industria Teknologietako Ingeniaritzan Graduatua Nafarroako Unibertsitate Publikoan