03:30 PM - 03:55 PM
Modeling and comparison of alternative approaches for sector duration optimization in a dedicated radiosurgery system
Stereotactic radiosurgery (SRS) is an effective technique to treat brain metastasis for which several inverse planning methods may be appropriate. We compare three different optimization models, namely, a linear programming model, a piecewise quadratic penalty model, and an unconstrained convex moment-based penalty model for segment duration optimization in SRS.
03:55 PM - 04:20 PM
A cardinality-constrained robust approach for the biomedical samples laboratories network problem
We consider the Biomedical Samples Laboratories Network Problem, fundamental in modern healthcare systems, and propose a cardinality-constrained robust model for decision making under demand uncertainty. Robust solutions evaluation through real-life scenarios shows better feasibility performances than those of its deterministic counterpart. Solution cost increase is limited and affordable.
04:20 PM - 04:45 PM
Demand-driven districting to minimize response time in emergency medical services
Districts defined a priori are largely adopted to manage Emergency Medical Services. However, a priori districts do not consider the dynamics of service provisioning, triggering out-of-district ambulance services. To tackle this problem and to improve the solution quality, we propose a demand-driven districting to minimize response time and out-of-district assignments.
04:45 PM - 05:10 PM
A VNS for the biomedical sample transportation problem with interdependent pickups
In this talk we will present a vehicle routing problem with interdependent pickups based on the biomedical sample transportation problem from Quebec's Ministry of Health and Social Services. A MIP has been formulated and a matheuristic algorithm has been proposed to tackle the real-size instances furnished by our partner.