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Detailed schedule
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Show all the abstracts
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
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
- Modelling questions in nurse rostering
Burak Bilgin (Kaho Sint-Lieven) Co-authors: Patrick De Causmaecker, Greet Vanden Berghe Abstract: On an abstract level, the nurse rostering problem is a straightforward mathematical problem. The number of assignments must fulfill the coverage constraints and the assignments of a nurse need to satisfy the employment constraints. However, in practice, neither the problem nor the constraints are defined with the mathematical models in mind. The employment constraints are a result of collective bargaining on conditions of employment. The coverage constraints represent the staff requirements as they are perceived by the hospital management. Consequently, the resulting problem description and constraints are expressed in a verbal language, involving numerous exceptions for each rule. Most of the time, academics simplify the problem description and constraints in order to translate them to mathematical models. Although the resulting models are straightforward to be analysed and solved, the solutions obtained with simplified models do not satisfy the requirements of the real world response groups. As a result, a gap between theory and practice arises, which prevents the utilisation of the academic results in the real world settings. The nurse rostering literature is mainly focused on the solution methods. The models used in the nurse rostering studies are often not examined in great detail. The first step to bridge the gap between theory and practice is to spot the points where the academic models fail to represent the real world setting properly. The second step is to propose modelling practices that represent the real world problems with a higher accuracy.
- Simulation study of outpatient scheduling with unpunctual patients
Thomas Demoor (Ghent University) Co-authors: Dieter Fiems and Herwig Bruneel
- Binary matrix decompositions without tongue-and-groove underdosage for radiation therapy planning
Céline Engelbeen (Université Libre de Bruxelles) Co-authors: Antje Kiesel
- Evaluating the impact of case mix decisions on capacity utilizations through discrete-event simulation
Guoxuan Ma (K.U. Leuven) Co-authors: Erik Demeulemeester
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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