ORBEL 32

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Thursday, February 1
08:30-09:15Welcome
09:15-09:30Opening session
09:30-10:30Plenary session - Dominique Feillet (Chair: Yasemin Arda)
10:30-11:00Coffee break
11:00-12:20Parallel sessions
  Routing Problems
Chair: Pieter Vansteenwegen
Room: 138
Emergency operations scheduling
Chair: El-Houssaine Aghezzaf
Room: 130
Algorithm design
Chair: Gerrit Janssens
Room: 126
Multiple Objectives
Chair: Filip Van Utterbeeck
Room: 120
12:20-13:30Lunch
12:25-13:25ORBEL board meeting
13:30-14:50Parallel sessions
  Integrated logistics
Chair: Kris Braekers
Room: 138
Person transportation
Chair: Célia Paquay
Room: 130
Continuous models
Chair: Nicolas Gillis
Room: 126
Integer programming
Chair: Bernard Fortz
Room: 120
14:50-15:20Coffee break
15:20-16:20Parallel sessions
  Material handling and warehousing 1
Chair: Greet Vanden Berghe
Room: 138
Operations management
Chair: Roel Leus
Room: 130
Matrix factorization
Chair: Pierre Kunsch
Room: 126
 
16:30-17:10Parallel sessions
  Material handling and warehousing 2
Chair: Katrien Ramaekers
Room: 138
Routing and local search
Chair: An Caris
Room: 130
Traffic management
Chair: Joris Walraevens
Room: 126
Pharmaceutical supply chains
Chair: Bart Smeulders
Room: 120
17:15-18:15ORBEL general assembly
18:30-...Conference dinner

Friday, February 2
09:30-10:30Plenary session - Martin Savelsbergh (Chair: Yves Crama)
10:30-10:50Coffee break
10:50-12:10Parallel sessions
  Optimization in health care
Chair: Jeroen Beliën
Room: 138
Network design
Chair: Jean-Sébastien Tancrez
Room: 130
Local search methodology
Chair: Patrick De Causmaecker
Room: 126
ORBEL Award
Chair: Frits Spieksma
Room: 120
12:10-13:00Lunch
13:00-14:00Parallel sessions
  Production and inventory management
Chair: Tony Wauters
Room: 138
Logistics 4.0
Chair: Thierry Pironet
Room: 130
Data clustering
Chair: Yves De Smet
Room: 126
Collective decision making
Chair: Bernard De Baets
Room: 120
14:10-15:10Parallel sessions
  Sport scheduling
Chair: Dries Goossens
Room: 138
Discrete choice modeling
Chair: Virginie Lurkin
Room: 130
Data classification
Chair: Ashwin Ittoo
Room: 126
 
15:10-15:30Coffee break
15:30- 16:30Plenary session - Michel Bierlaire (Chair: Michaël Schyns)
16:30- 16:45ORBEL award and closing session
16:45-18:00Closing cocktail

Thursday 11:00 - 12:20 Routing Problems
Room 138 - Chair: Pieter Vansteenwegen

Thursday 11:00 - 12:20 Emergency operations scheduling
Room 130 - Chair: El-Houssaine Aghezzaf

Thursday 11:00 - 12:20 Algorithm design
Room 126 - Chair: Gerrit Janssens

Thursday 11:00 - 12:20 Multiple Objectives
Room 120 - Chair: Filip Van Utterbeeck

Thursday 13:30 - 14:50 Integrated logistics
Room 138 - Chair: Kris Braekers

Thursday 13:30 - 14:50 Person transportation
Room 130 - Chair: Célia Paquay
  • Local evaluation techniques in bus line planning
    Evert Vermeir (KU Leuven)
    Co-authors: Pieter Vansteenwegen
  • Integrating dial-a-ride services and public transport
    Yves Molenbruch (Hasselt University)
    Co-authors: Kris Braekers
  • Benchmarks for the prisoner transportation problem
    Jan Christiaens (KU Leuven)
    Co-authors: Tony Wauters, Greet Vanden Berghe
  • Optimizing city-wide vehicle allocation for car sharing
    Toni Wickert (KU Leuven)
    Co-authors: Federico Mosquera, Pieter Smet, Emmanouil Thanos
    Abstract:
    Car sharing is a form of shared mobility in which different users share a fleet of vehicles rather than all using their own vehicle. Users make requests to reserve these shared vehicles and only pay for the time of use or distance driven. Car sharing stations, where the vehicles are parked when they are not used, must be strategically located within a city such that as many users as possible can be serviced by the available fleet of vehicles. Typically, these stations are also close to train or bus stations to facilitate combination with public transport. This study proposes a decision support model for optimizing the allocation of car sharing stations within a city. The goal is to distribute the fleet of available vehicles among zones such that as many user requests as possible can be assigned to a specific vehicle. The optimization problem to be solved is thus a combination of two assignment problems: the assignment of vehicles to zones and the assignment of user requests to vehicles. A request may be feasibly assigned to a vehicle if that vehicle is located in the request's home zone or, less preferable, in an adjacent zone. Requests which overlap in time cannot be assigned to the same vehicle. The objective is to minimize the total cost incurred by leaving requests unassigned and by assigning requests to vehicles in adjacent zones. Computational experiments on both real-world data and computer-generated problem instances showed that medium-sized and large problems cannot be solved using integer programming. To address such challenging problem instances, a heuristic decomposition approach is introduced. The proposed algorithm is inspired by the successful application of this technique on various optimization problems such as the traveling umpire problem, nurse rostering, project scheduling and capacitated vehicle routing. The heuristic decomposition algorithm starts by generating an initial feasible solution. Then, iteratively, a subset of decision variables is fixed to their current values, and the resulting subproblem is solved to optimality using a general purpose integer programming solver. Three types of decomposition are investigated: 1) fixing a subset of vehicles to zones, 2) fixing a subset of requests to vehicles and 3) fixing requests from a subset of days to vehicles. A computational study showed that the proposed method outperforms both an integer programming solver and a simulated annealing metaheuristic. Details regarding the heuristic decomposition implementation and computational results will be presented at the conference.

Thursday 13:30 - 14:50 Continuous models
Room 126 - Chair: Nicolas Gillis

Thursday 13:30 - 14:50 Integer programming
Room 120 - Chair: Bernard Fortz

Thursday 15:20 - 16:20 Material handling and warehousing 1
Room 138 - Chair: Greet Vanden Berghe

Thursday 15:20 - 16:20 Operations management
Room 130 - Chair: Roel Leus

Thursday 15:20 - 16:20 Matrix factorization
Room 126 - Chair: Pierre Kunsch

Thursday 16:30 - 17:10 Material handling and warehousing 2
Room 138 - Chair: Katrien Ramaekers

Thursday 16:30 - 17:10 Routing and local search
Room 130 - Chair: An Caris

Thursday 16:30 - 17:10 Traffic management
Room 126 - Chair: Joris Walraevens

Thursday 16:30 - 17:10 Pharmaceutical supply chains
Room 120 - Chair: Bart Smeulders

Friday 10:50 - 12:10 Optimization in health care
Room 138 - Chair: Jeroen Beliën

Friday 10:50 - 12:10 Network design
Room 130 - Chair: Jean-Sébastien Tancrez

Friday 10:50 - 12:10 Local search methodology
Room 126 - Chair: Patrick De Causmaecker

Friday 10:50 - 12:10 ORBEL Award
Room 120 - Chair: Frits Spieksma

    Friday 13:00 - 14:00 Production and inventory management
    Room 138 - Chair: Tony Wauters

    Friday 13:00 - 14:00 Logistics 4.0
    Room 130 - Chair: Thierry Pironet

    Friday 13:00 - 14:00 Data clustering
    Room 126 - Chair: Yves De Smet

    Friday 13:00 - 14:00 Collective decision making
    Room 120 - Chair: Bernard De Baets

    Friday 14:10 - 15:10 Sport scheduling
    Room 138 - Chair: Dries Goossens

    Friday 14:10 - 15:10 Discrete choice modeling
    Room 130 - Chair: Virginie Lurkin

    Friday 14:10 - 15:10 Data classification
    Room 126 - Chair: Ashwin Ittoo

     
     
      ORBEL - Conference chair: Prof. A. Arda - Platform: Prof. M. Schyns.