4 présentations

• 
  15h30 - 15h55

  Dynamic Vehicle Dispatching Problem for Emergency Vehicles Based on Information Dissemination

  • Hanene Ben Yedder, prés., Université du Québec en Outaouais
  • Ilham Benyahia, Université du Québec en Outaouais
  • Jean-Yves Potvin, Université de Montréal

  Despite sophisticated optimization contributions in dynamic emergency vehicle dispatching problem, few of them have considered their integration in Intelligent Transportation Systems architectures. In this context, dynamic and unforeseen environment changes might be better addressed. We propose for our study a reactive approach for vehicle dispatching based on a context aware and reconfigurable architecture. Several simulation experiments are performed considering realistic scenarios. The numerical results underline the effectiveness and benefits of the new approach to solve the new stated problem.

• 
  15h55 - 16h20

  Choix de l'ordonnancement optimal pour la séquence de rendez-vous en radiothérapie

  • Etienne Beauchamp, prés., Polytechnique Montréal

  Les patients attendant un traitement pour le cancer doivent passer par une série de rendez-vous de préparation. Les patients actuels obtiennent leur date de rendez-vous lorsque la phase précédente est terminée. Afin de permettre à un plus grand nombre de patients d'être traité dans les délais prescrits, nous avons étudier l'impact de choisir au préalable une date de traitement et de fixer les rendez-vous de préparation par la suite. Ceci permettra de trouver la date d'entrée optimale afin que la préparation soit la plus rapprochée de la date du premier traitement.

• 
  16h20 - 16h45

  Optimization Model for the Biomedical Sample Transportation Problem: A Case Study

  • Ana María Anaya Arenas, prés., ESG - UQAM
  • Thomas Chabot, Univesité Laval
  • Jacques Renaud, Université Laval, CIRRELT
  • Angel Ruiz, Université Laval

  This talk presents a rich VRP in the challenging context of biomedical sample transportation, where different specimen's collection centers are visited, many times on the same day, with specifics time windows, in order to pick-up the samples that will be analyzed by a laboratory. We propose an optimization model to find a plan that minimizes the total transportation costs. The performance of our model is tested with a case study taken from the network of laboratories in the Quebec province.

• 
  16h45 - 17h10

  Modeling the Logistics Response to a Bioterrorist Anthrax Attack

  • Wanying Chen, prés., INSA de Lyon
  • Alain Guinet, INSA de Lyon
  • Angel Ruiz, Université Laval

  We propose a model which links the disease progression, the related medical intervention actions and the logistics development to provide strategic level standpoint for extracting crucial insights on emergency logistics management. The new model provide significant contributions on the related area yet to be well studied