Journées de l'optimisation 2018

HEC Montréal, Québec, Canada, 7 — 9 mai 2018

Horaire Auteurs Mon horaire

TB10 Healthcare planning and logistics

8 mai 2018 15h30 – 17h10

Salle: Sony (48)

Présidée par Ana María Anaya Arenas

4 présentations

  • 15h30 - 15h55

    Modeling and comparison of alternative approaches for sector duration optimization in a dedicated radiosurgery system

    • Mucahit Cevik, prés., Sunnybrook Health Sciences Centre
    • Dionne Aleman, University of Toronto
    • Young Lee, Sunnybrook Health Sciences Centre
    • Mark Ruschin, Sunnybrook Health Sciences Centre

    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.

  • 15h55 - 16h20

    A cardinality-constrained robust approach for the biomedical samples laboratories network problem

    • Vittorio Nicoletta, prés., Laval University
    • Valérie Bélanger, CIRRELT, HEC Montréal
    • Ettore Lanzarone, CNR-IMATI
    • Angel Ruiz, Université Laval

    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.

  • 16h20 - 16h45

    Demand-driven districting to minimize response time in emergency medical services

    • Fabiola Regis-Hernández, prés., CNR-IMATI
    • Ettore Lanzarone, CNR-IMATI
    • Valérie Bélanger, CIRRELT, HEC Montréal
    • Angel Ruiz, Université Laval

    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.

  • 16h45 - 17h10

    A VNS for the biomedical sample transportation problem with interdependent pickups

    • Marta Toschi, Consiglio Nazionale delle Ricerche (CNR)
    • Ana María Anaya Arenas, prés., ESG - UQAM
    • Valérie Bélanger, CIRRELT, HEC Montréal
    • Ettore Lanzarone, CNR-IMATI
    • Angel Ruiz, Université Laval

    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.