Journées de l'optimisation 2017

HEC Montréal, 8-10 mai 2017

1er Atelier Canadien sur l'optimisation des soins de santé (CHOW)

HEC Montréal, 10-11 mai 2017


HEC Montréal, 8 — 11 mai 2017

Horaire Auteurs Mon horaire

MD4 Localisation / Location

8 mai 2017 15h30 – 17h10

Salle: Meloche Monnex

Présidée par Narges Sereshti

4 présentations

  • 15h30 - 15h55

    Exploiting landmark constraints for mobile robot localization and mapping

    • Duowen Qian, prés.,

    This work considers exploiting a priori landmark information within the nonlinear least-squares algorithm to estimate the location of a mobile robot in a planar environment. Additionally, newly observed landmarks are augmented to the a priori landmarks, realizing mapping as well as localization.

  • 15h55 - 16h20

    A Two-Echelon Location-Routing Problem in the Dutch inland waterway network

    • Rogier Deluster, prés., CIRRELT
    • Leandro C. Coelho, Université Laval

    Refueling of liquefied natural gas (LNG) ships is called “bunkering” and can be done from a bunker terminal, from a LNG tanker truck or from a LNG bunker ship. This project determines the most cost effective fleet and facility composition for a cost effective transition to a LNG powered waterway network in The Netherlands.

  • 16h20 - 16h45

    Hub location under the risk of interdiction

    • Prasanna Ramamoorthy, Indian Institute of Management Ahmedabad
    • Sachin Jayaswal, prés., Indian Institute of Management Ahmedabad
    • Ankur Sinha, Indian Institute of Management Ahmedabad
    • Navneet Vidyarthi, Concordia University

    We study the hub-and-spoke network design problem under the risk of interdiction. The problem is modeled as a 3-stage sequential game, resulting in a tri-level mixed integer program. We present different approaches to reduce the model to 2 levels, followed by an efficient exact method to solve the problem to optimality.

  • 16h45 - 17h10

    Where to locate the new depot of a food company: a case study in Montreal

    • Narges Sereshti, HEC Montréal
    • Matthieu Gruson, prés., HEC Montreal
    • Gilbert Laporte, HEC Montréal

    In this project, we dealt with the problem of locating new depot in the Montreal area to better satisfy the clients of a food delivery company. We used the facility location model and the CVRPTW to solve this problem and define the location and the number of vehicles of the new depot.