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Meetings 2016-2017

  • February 2017, Tuesday 7 (12:30 am): by Maria-Isabel Restrepo (INRIA Centre de recherche Lille-Nord Europe)

    Integrated Shift Scheduling and Load Assignment Optimization for Attended Home Delivery

    In this work, we study an integrated shift scheduling and load assignment optimization problem for attended home delivery. The proposed approach is divided into two phases, each one corresponding to a different planning level: tactical and operational. In the tactical planning, a daily master plan is generated for each courier. This master plan defines the working shifts, the origin-destination pairs to visit, and the number of packages to deliver. In the operational planning, delivery orders are allocated to couriers in real-time. The stochastic and dynamic nature of customer orders is included in the tactical and operational decision levels, respectively. Results on real-world based instances from a delivery company, demonstrate that our approach provides robust tactical solutions that easily accommodate to fluctuations in customer orders, preventing additional costs related to the underutilization of couriers and the use of external couriers to satisfy all delivery requests.

    Where: HEC-University of Liege - 14, rue Louvrex (N1)- 4000 Liège 220
  • January 2017, Tuesday 10 (12:30 am): by Trivikram Dokka (Lancaster University Management School)

    Robust Toll Pricing

    We study the toll pricing problem when the non-toll costs on the network are not fixed and can vary over time. We assume that users who take their decisions, after the tolls are fixed, have full information of all costs before making their decision. Toll-setters, on the other hand, do not have any information of the future costs on the network. The only information toll-setters have is historical information (sample) of the network costs. In this work, we study this problem on parallel networks and networks with few number of paths in the single origin-destination setting. We formulate the toll pricing problem in this setting as a distributionally robust optimization problem and propose a method to solve to it. We illustrate the usefulness of our approach by numerical experiments using a parallel network.

    Where: HEC-University of Liege - 14, rue Louvrex (N1)- 4000 Liège 220
  • November 2016, Wednesday 23 (02:30 pm): by Jorge Amaya (Universidad de Chile)

    Applied Research in OR at the Center for Mathematical Modeling, University of Chile :

    We address three optimization problems arising from the industry:

    • Production Scheduling for the Mining Industry (sequence of ore extraction);
    • Crew Scheduling for Train Transportation (drivers assignment); and
    • Optimal Resource Allocation in Public Education Systems (school location).
    In this talk we will briefly describe the main concepts associated to these problems and the corresponding mathematical models. These projects are being developed in collaboration with industrial companies.

    Where: HEC-University of Liege - 14, rue Louvrex (N1)- 4000 Liège 1711


 
 
  HEC-Management School - University of Liège