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