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Les Séminaires sur la recherche en systèmes de santé : Stochastic tabu search and application in healthcare

Le vendredi 16 mars 2018, de 10 h à 12 h

Cet événement se déroulera en anglais seulement.

Nadia Lahrichi, Ph.D.
Associate Professor, Department of Mathematics and Industrial Engineering 
Polytechnique Montreal

(En anglais seulement)

Many approaches are used to handle uncertainty in stochastic combinatorial optimization problems. In this talk, we are interested inmetaheuristic methods. We describe a stochastic tabu search approach in detail and present a real application. We use the scheduling of physicians in a radiotherapy center during the pretreatment phase for cancer patients. This is defined as the period between the referral to a cancer center and the confirmation of the treatment plan. Physicians have been identified as bottlenecks in this process, and the goal is to determine a weekly cyclic schedule that improves the patient flow and shortens the pretreatment duration. High uncertainty is associated with the arrival day, profile and type of cancer of each patient.


Date :
Le vendredi 16 mars 2018
Heure :
de 10 h à 12 h
Lieu :
École de gestion Telfer
Pavillon Desmarais
DMS 7170
55, avenue Laurier Est
Ottawa (Ontario) K1N 6N5
Voir sur Google Maps
Date limite d'inscription :
Le jeudi 15 mars 2018, 10 h

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À propos du conférencier (en anglais seulement)

Holding a PhD in Applied Mathematics from Polytechnique Montreal, Nadia Lahrichi is an associate professor in the department of mathematics and industrial engineering since 2011. Her areas of interest are mainly focused towards applying modelling and operational research tools in healthcare. Patient flow (scheduling, sequencing, …) and resource optimization (space requirements, nurse scheduling, …) problems are especially targeted.

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