ORBEL 24

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Detailed schedule

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Thursday 28, 2010
8:30-9:00Registration - Welcome coffee
9:00-9:30Welcoming session - Room 030
9:30-10:30Plenary session: P. Baptiste
Sustainable Development: How can we help

Room 030
10:30-11:00Coffee break
11:00-12:40Parallel sessions
  Timetabling in education and sport
Chair: G. Vanden Berghe
Room: 126
Transportation management
Chair: F. Semet
Room: 130
Networks
Chair: B. Fortz
Room: 138
Nonconvex optimization 1
Chair: F. Bach
Room: 035
12:40-14:00Lunch (and board meeting)
14:00-15:40Parallel sessions
  Constraint programming models 1
Chair: Y. Deville
Room: 126
Vehicle routing
Chair: S. Limbourg
Room: 130
Combinatorial optimization and IP applications
Chair: Q. Louveaux
Room: 138
Nonconvex Optimization 2
Chair: R. Sepulchre
Room: 035
15:40-16:10Coffee break
16:10-17:50Parallel sessions
  Constraint programming models 2
Chair: P. Schaus
Room: 126
Performance modeling
Chair: G. Janssens
Room: 130
Scheduling
Chair: K. Sorensen
Room: 138
Planning under uncertainty
Chair: R. Leus
Room: 035
17:50-General Assembly (Room 138)
18:45-Conference dinner

Friday 29, 2010
9:00-10:40Parallel sessions
  Metaheuristics
Chair: J. Teghem
Room: 126
Production and distribution (9:25)
Chair: Y. Arda
Room: 130
Multiple criteria
Chair: R. Bisdorff
Room: 138
Stochastic models (9:25)
Chair: L. Esch
Room: 035
10:40-11:00Coffee break
11:00-12:40Parallel sessions
  Constraint programming and Supply Chain Management
Chair: Y. Deville
Room: 126
OR in health management
Chair: P. De Causmaecker
Room: 130
Rankings and importance indices
Chair: JL. Marichal
Room: 138
Queueing
Chair: S. Wittevrongel
Room: 035
12:40-14:00Lunch
14:00-15:00Plenary session: M. Goemans
The Power of Matroids

Room 030
15:10-16:00Parallel sessions
  Optimization software
Chair: E. Loute
Room: 126
Integrated operations planning
Chair: B. Raa
Room: 130
Cycles in graphs
Chair: F. Spieksma
Room: 138
 
16:00-16:35Plenary session: ORBEL award and closing session
Room 030
16:35-...Coffee break
Show all the abstracts
Thursday 11:00:00 Timetabling in education and sport
Room 126 - Chair: G. Vanden Berghe

Thursday 11:00:00 Transportation management
Room 130 - Chair: F. Semet
  • Incorporating logistics decisions in activity-based freight modeling
    Tabitha Maes (Hasselt University)
    Co-authors: Katrien Ramaekers, An Caris, Tom Bellemans, Gerrit Janssens
  • A GRASP metaheuristic for allocating resources to improve the accessibility in a road network after a natural disaster
    Pablo Andres Maya Duque (University of Antwerp )
    Co-authors: K. Sorensen, P. Goos
  • Vehicle loading optimization with stochastic supply
    Thierry Pironet (Université de Liège)
    Co-authors: Amand, Arda, Crama, Kronus, Pironet
  • Location and market area of rail-road terminals
    Sabine Limbourg (HEC-ULg)
    Co-authors: B. Jourquin
    Abstract:
    The European transport policy has focused on sustainable transport solutions. One of its objectives for freight transport is to restore the balance between modes and to develop intermodality. Among the various types of intermodal transports, this research is concerned with rail-road container terminals embedded in a hub-and–spoke network. These terminals will further be referred to as hubs. Hub-and-spoke networks have been implemented in a number of transportation systems when it is favourable to consolidate and disseminate flows at certain locations called hubs. The efficiency of such a network depends on the location of the hubs. The problem is to find the optimal hub locations and to allocate the remaining nodes to these hubs. This problem is known as the p-hub median problem (p-HMP) where p is the number of hubs to locate. This location-allocation problem is proved to be NP-hard. The time needed to solve it increases as the number of nodes exponent three. Thus, in order to model rail-road transport on the trans-European networks, a subset of nodes that can be considered as good potential locations is needed. We applied the p-HMP to a set of potential locations obtained by both spatial aggregation of demand nodes using hierarchical clustering methods and by a flow-based approach which takes the flows of commodities and their geographic spread into account. They showed that the latest method gives better results and that is why it is retained to determine a set of potential locations. The set of potential locations is used as input for an iterative procedure. One of the main contributions of this research is to propose this iterative procedure based on both the p-HMP and the multi-modal assignment problem. Moreover, the objective function of our p-hub median formulation includes the costs for pre- and post-haulages by road, trans-shipment (according to the number of handled containers into account) and rail haulage. Furthermore, in the p-hub median problem, the total demand is assigned to the hubs. In this research however, the demand can be assigned over all the transportation modes, with the possibility (but not the obligation) of using the trans-shipment facilities. Finally, we presents a methodology able to compare road and rail-road intermodal market areas that takes the network structures, the operation costs and the location of the rail-road terminals into account. This methodology is applied to the optimal configurations obtained by the resolution of the p-HMP and the p-hub centre problem (p-HCP) for the whole trans-European network. Indeed, p-HMP has an efficiency goal by minimizing the total transportation cost. The hub network design obtained by this method can sometimes lead to unsatisfactory results when worst-case origin-destination pairs are separated by a very large distance. Therefore, the p-HCM meets the equity objective by minimizing the maximum cost of a combined transport.

Thursday 11:00:00 Networks
Room 138 - Chair: B. Fortz

Thursday 11:00:00 Nonconvex optimization 1
Room 035 - Chair: F. Bach

Thursday 14:00:00 Constraint programming models 1
Room 126 - Chair: Y. Deville

Thursday 14:00:00 Vehicle routing
Room 130 - Chair: S. Limbourg

Thursday 14:00:00 Combinatorial optimization and IP applications
Room 138 - Chair: Q. Louveaux

Thursday 14:00:00 Nonconvex Optimization 2
Room 035 - Chair: R. Sepulchre

Thursday 16:10:00 Constraint programming models 2
Room 126 - Chair: P. Schaus

Thursday 16:10:00 Performance modeling
Room 130 - Chair: G. Janssens

Thursday 16:10:00 Scheduling
Room 138 - Chair: K. Sorensen

Thursday 16:10:00 Planning under uncertainty
Room 035 - Chair: R. Leus

Friday 09:00:00 Metaheuristics
Room 126 - Chair: J. Teghem

Friday 09:25:00 Production and distribution (9:25)
Room 130 - Chair: Y. Arda

Friday 09:00:00 Multiple criteria
Room 138 - Chair: R. Bisdorff

Friday 09:25:00 Stochastic models (9:25)
Room 035 - Chair: L. Esch

Friday 11:00:00 Constraint programming and Supply Chain Management
Room 126 - Chair: Y. Deville

Friday 11:00:00 OR in health management
Room 130 - Chair: P. De Causmaecker

Friday 11:00:00 Rankings and importance indices
Room 138 - Chair: JL. Marichal

Friday 11:00:00 Queueing
Room 035 - Chair: S. Wittevrongel

Friday 15:10:00 Optimization software
Room 126 - Chair: E. Loute

Friday 15:10:00 Integrated operations planning
Room 130 - Chair: B. Raa

Friday 15:10:00 Cycles in graphs
Room 138 - Chair: F. Spieksma

 
 
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QuantOM - HEC-Management School - University of Liège
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