4 présentations

• 
  15h30 - 15h55

  Simultaneous operating room and staff scheduling considering residents’ training

  • Katja Schimmelpfeng, prés., Universität Hohenheim
  • Christopher Haager, Universität Hohenheim

  Operating rooms (OR) belong to a hospital’s most important and expensive resources. Thus hospitals strive to operate ORs at high utilization, however without jeopardizing patient service. In this context, one of the current challenges lies in an integrated OR- and staff scheduling especially if the staff’s (e.g., residents’) training has to be taken into account. In this talk we present first modeling approaches how to include residents’ training into the integrated OR- and staff scheduling.

• 
  15h55 - 16h20

  A flexible approach for solving patient transportation problems

  • Quentin Cappart, prés., Cirrelt

  This talk presents a static optimization problem aiming to bring patients to health centers given a set of constraints. To do so, a heterogeneous fleet of vehicles is available. The main objective is to satisfy the most requests as possible. We propose to solve it using Constraint Programming.

• 
  16h20 - 16h45

  A Benders decomposition method for the home health care routing and scheduling problem

  • Florian Grenouilleau, prés., CIRRELT
  • Nadia Lahrichi, Polytechnique Montréal
  • Louis-Martin Rousseau, Polytechnique Montréal

  In this project, we have developed a Benders decomposition method to solve a routing and scheduling problem in the home health care context. We present here different Benders formulations and some preliminary results.

• 
  16h45 - 17h10

  Integrated consultation and chemotherapy scheduling in an oncology clinic

  • Maryam Haghi, prés., Concordia University
  • Ivan Contreras, Concordia University
  • Nadia Bhuiyan, Concordia University

  Oncology clinics often schedule high volume of patients for several types of appointments using limited resources. In most clinics, consultation and chemotherapy appointments should be scheduled on the same day or on two sequential days. Therefore, we propose a mathematical model to schedule both types of appointments simultaneously to obtain the most satisfying schedule for both patients and the clinic.