J. M. Molina-Pariente, V. Fernandez-Viagas, J. M. Framinan, S. Leal González, T. Gómez Cia

En esta contribución se estudia el problema de planificación y programación de quirófanos considerando la incertidumbre en la duración de las intervenciones y la llegada de pacientes de urgencias. El problema consiste en determinar la fecha de intervención, el quirófano y el tiempo esperado de inicio para un conjunto de intervenciones en lista de espera, considerando restricciones de gestión de listas de espera y recursos quirúrgicos. El objetivo es minimizar el coste total esperado de los recursos quirúrgicos (quirófanos y cirujanos), priorizando la planificación de las intervenciones con mayor prioridad clínica y tiempo en lista de espera. Para la resolución del problema se propone un modelo matemático estocástico, resuelto de forma aproximada aplicando una combinación de una metaheurística y la simulación de Monte Carlo. Finalmente se analiza el rendimiento y el impacto de la utilización del procedimiento de resolución en una batería de problemas propuestas en la literatura.

Keywords: quirófano, incertidumbre, metaheurística, simulación Monte Carlo

Scheduled

GT13 Disasters, Development and Sustainability. Decision in Health, Disasters, Development and Sustainability
June 9, 2022  5:10 PM
Conference hall


Other papers in the same session

Applications of Modelling in Policing: 7 years of collaborations with the Spanish National Police

F. Liberatore, M. Camacho-Collados, L. Quijano-Sanchez, B. Vitoriano Villanueva

Escenarios estocásticos y redes bayesianas para modelar el riesgo de incendios forestales

A. Rodríguez-Martínez, B. Vitoriano Villanueva, G. Barderas, J. Barreal

Racionalización del uso de recursos sanitarios en zonas rurales para la atención de urgencias y emergencias

M. Cildoz Esquiroz, M. Gastón Romeo, L. Frías Paredes, D. García de Vicuña Bilbao, C. Azcárate Camio, F. Mallor Giménez


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