10h30 - 10h55
Physician Scheduling Problem in Emergency Rooms, Application at Maisonneuve-Rosemont Hospital
At Maisonneuve-Rosemont Hospital's emergencies department, the physician schedule is handled manually by its director Dr Gagnon. Physician scheduling is a strategical and time consuming task for him. The development of a linear model handling coverage and ergonomic constraints permits to give realistic solution to the problem and may open to other applications in the department.
10h55 - 11h20
Nurse Assignment to Endoscopy Unit Rooms at the Centre Hospitalier Universitaire de Sherbrooke
In the endoscopy unit at the Centre hospitalier universitaire de Sherbrooke, the assistant head nurse must assign each nurse to a specific room in order to make a monthly schedule. A mixed integer programming model is developed and solved with a free solver, the COIN Branch and Cut. This method is less time consuming than the manual method and provides a better schedule.
11h20 - 11h45
Online Stochastic Optimization of Radiotherapy Patient Booking
Effective management of cancer treatment facility for radiation therapy depends mainly on optimizing the utilization of linear accelerators. In this project, we are scheduling patients on those machines while taking into account their priority for treatment, the maximum waiting time before the first treatment and the duration of treatment. We collaborate with the Centre Intégré de Cancérologie de Laval to determine the best scheduling policy. Furthermore, we integrate the uncertainty related to the arrival of patients at the center. We develop an hybrid method combining stochastic optimization and online optimization to better meet the needs of central planning. Therefore, we use the information of future arrivals of patients to capture the most accurate picture of the expected utilization of resources. Results based on real data show that our method outperforms strategies typically used in such treatment centers.
11h45 - 12h10
An Agent Base Simulation Model of an Operating Theaters System: Waiting Lists and Social Life Index
Patients’ positioning on surgical waiting lists involves complex interactions between hospital capacities and patients’ demands. Using an agent based simulation model that incorporates the patients’ medical and social life indices, a comparison between a fixed-state model versus a more dynamic scheduling model (having different time horizons) is provided and analyzed.