Health Systems Research Seminar Series : Stochastic tabu search and application in healthcare
Friday, March 16, 2018, 10:00 a.m. to 12:00 p.m.
Nadia Lahrichi, Ph.D.
Associate Professor, Department of Mathematics and Industrial Engineering
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.
- Friday, March 16, 2018
- 10:00 a.m. to 12:00 p.m.
- Telfer School of Management
55 Laurier Avenue East
Ottawa, Ontario K1N 6N5
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- RSVP deadline:
- Thursday, March 15, 2018, 10:00 a.m.
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About the Speaker
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.