A stochastic model for operating room planning with elective and emergency surgery demands

Abstract : This paper proposes a stochastic model for Operating Rooms (ORs) planning with two types of surgery demands: elective surgery and emergency surgery. Elective cases can be planned starting from an earliest date with a patient related cost depending on the surgery date. Emergency cases arrive randomly and have to be performed on the day of arrival. The planning problem consists of assigning elective cases to different periods over a planning horizon in order to minimize the sum of elective patients related costs and overtime costs of operating rooms. A new stochastic mathematical programming model is proposed. More specific, we propose a Monte Carlo optimisation method combining Monte Carlo simulation and Mixed Integer Programming. The solution of this method is proved to converge to a real optimum as the computation budget increases. The optimization method is implemented and numerical results are presented.
Type de document :
Rapport
2005
Liste complète des métadonnées

https://hal-emse.ccsd.cnrs.fr/emse-00679893
Contributeur : Florent Breuil <>
Soumis le : vendredi 16 mars 2012 - 15:20:49
Dernière modification le : dimanche 28 janvier 2018 - 15:22:05

Identifiants

  • HAL Id : emse-00679893, version 1

Citation

Mehdi Lamiri, Xie Xiaolan, Alexandre Dolgui, Frédéric Grimaud. A stochastic model for operating room planning with elective and emergency surgery demands. 2005. 〈emse-00679893〉

Partager

Métriques

Consultations de la notice

134