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Optimisation Stochastique pour la gestion des lits d’hospitalisation sous incertitudes

Abstract : Hospitals have to deals with a lot of random events making their management hard to realize. Those difficulties are mainly due to the uncertainty relative to future evolutions of demand, in particular in term of future arrivals and departures. Despite those difficulties, a fast and efficient hospitalization is required especially for some units like the emergency department. This department has to find quick solution to the problem of hospitalized of their patients. This can only be possible if (i) emergency arrivals are forecasted and so a bed is remaining free for them and/or (ii) the planning of beds occupation is made in a way allowing easy allocations of emergency patients.Our purpose is going to manage the patient flow in short stay unit (medicine and surgery) starting form the choice of an admission date for each patient until their discharge by keeping in mind the two previous assumptions. By using some stochastic optimization models, we solve a succession of decision problems in order to grant the good state of hospitals. Three level of decision are solved: 1. Admission scheduling for elective patients, 2. Patient assignment to hospital floors, 3. Patient assignment to rooms.Cases of study are based on data provided by a french hospital partner of this work, Firminy's Hospital Center
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Submitted on : Monday, February 6, 2012 - 5:42:56 PM
Last modification on : Wednesday, June 24, 2020 - 4:18:37 PM
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  • HAL Id : tel-00667076, version 1


Alexandre Mazier. Optimisation Stochastique pour la gestion des lits d’hospitalisation sous incertitudes. Autre. Ecole Nationale Supérieure des Mines de Saint-Etienne, 2010. Français. ⟨NNT : 2010EMSE0586⟩. ⟨tel-00667076⟩



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