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Detailed schedule
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Thursday 30 January:
Thursday 11:15-12:30 TA-1: COMEX - Optimization 1 Room Vesale 023 - Chair: M. Schyns
Thursday 11:15-12:30 TA-2: Software and Implementation Room Vesale 020 - Chair: M. Mezmaz
Thursday 11:15-12:30 TA-3: COMEX - Smart mobility Room Vesale 025 - Chair: A. Caris
Thursday 11:15-12:30 TA-4: Systems Room Pentagone 0A11 - Chair: P. Kunsch
Thursday 14:00-15:40 TB-1: Data Analysis 1 Room Vesale 023 - Chair: X.Siebert
Thursday 14:00-15:40 TB-2: Multiple Objectives Room Vesale 020 - Chair: Y. de Smet
Thursday 14:00-15:40 TB-3: Logistics Room Vesale 025 - Chair: D. De Wolf
Thursday 14:00-15:40 TB-4: COMEX - Applications to Economy Room Pentagone 0A11 - Chair: W. Brauers
Thursday 14:00-15:40 TB-5: Networks Room Pentagone 0A07 - Chair: B. Fortz
Thursday 16:10-17:25 TC-1: Mixed-integer nonlinear programming Room Vesale 023 - Chair: Y. Crama
Thursday 16:10-17:25 TC-2: Decision Analysis 1 Room Vesale 020 - Chair: S. Eppe
Thursday 16:10-17:25 TC-3: Routing Room Vesale 025 - Chair: K. Sörensen
Thursday 16:10-17:25 TC-4: Graphs Room Pentagone 0A11 - Chair: H. Mélot
Thursday 16:10-17:25 TC-5: Scheduling Room Pentagone 0A07 - Chair: S. Hanafi
Friday 9:00-10:15 FA-1: Queuing Room Vesale 023 - Chair: S. Wittevrongel
Friday 9:00-10:15 FA-2: Decision Analysis 2 Room Vesale 020 - Chair: R. Bisdorff
Friday 9:00-10:15 FA-3: COMEX - Optimization 2 Room Vesale 025 - Chair: M. Labbé
Friday 9:00-10:15 FA-4: Production Room Pentagone 0A11 - Chair: D. Tuyttens
Friday 14:00-15:40 FB-1: Data Analysis 2 Room Vesale 023 - Chair: P. Fortemps
Friday 14:00-15:40 FB-2: Heuristics Room Vesale 020 - Chair: T. Stützle
Friday 14:00-15:40 FB-3: COMEX - Transportation Room Vesale 025 - Chair: F. Spieksma
Friday 14:00-15:40 FB-4: Health Room Pentagone 0A11 - Chair: G. Vanden Berghe
- IP Techniques for Nurse Rostering Problem
Tulio Toffolo (KU Leuven) Co-authors: Haroldo G. Santos, Rafael Martinelli, Rafael A.M. Gomes, Greet Vanden Berghe
- Using computer simulation to test a short stay unit
Gilles Sinnaeve (Université Catholique de Louvain) Co-authors: Claire Beguin, Philippe Chevalier & Marianne Philippe Abstract: A creative solution for managing the patient's flow consists in directing them based on their predicted length of stay. If a patient is thought to stay a short time, he will be directed to a specific unit, specialized in short stays.
This new system implies 2 major changes. Firstly, it means a revision of the process in use in order to dedicate a specific unit to short-term stays. With more efficient and standardized processes, a short stay unit would be able to deal with the same number of patients in weekdays time as in a complete week. Secondly, it implies a long-term unit in charge of more severe cases and for potential transfers from one unit to the other if needed.
The aim of this paper consists in studying the feasibility of this new organizational system by using a computer simulation model. It has been conducted in three surgical departments (gynecology, urology and ophthalmology), which are located in 2 adjacent units. This simulation study has been carried at the Saint-Luc Hospital of Bruxelles, using patient data collected in 2011.
- SIMEDIS disaster management simulator: aeronautical catastrophe
Christophe Ullrich (Royal Military Academy) Co-authors: C. Ullrich, F. Van Utterbeeck, E. Dhondt and M. Debacker
- Integrating patient-to-room assignment planning with elective admission scheduling
Wim Vancroonenburg (KU Leuven) Co-authors: Patrick De Causmaecker, Frits Spieksma, Greet Vanden Berghe
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