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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ghanes, Karim Jouini, Oualid Jemai, Zied Wargon, Mathias Hellmann, Romain Thomas, Valerie Koole, Ger |
| Copyright Year | 2014 |
| Description | Author affiliation: Agence Régionale de santé (ARS) Ile-de-France, 35 Rue de la Gare, 75019 Paris, FRANCE (Hellmann, Romain; Thomas, Valerie) || Laboratoire Génie Industriel, Ecole Centrale Paris, Grande Voie des Vignes, 92 290 Châtenay-Malabry, FRANCE (Ghanes, Karim; Jouini, Oualid; Jemai, Zied) || Emergency Department, Saint Camille Hospital, 2 Rue des Pères Camilliens, 94366 Bry-sur-Marne, FRANCE (Wargon, Mathias) || Department of Mathematics, VU University Amsterdam, De Boelelaan 1081a, 1081 HV, THE NETHERLANDS (Koole, Ger) |
| Abstract | We propose a Discrete Event Simulation (DES) model for an emergency department (ED). The model is developed in close collaboration with the French hospital Saint Camille, and is validated using real data. The objective of this model is to help ED managers better understand the behavior of the system and to improve the ED operations performance. The most essential features of an ED are considered in the model. A case study is conducted in order to allow decision makers select the most relevant investment in the human staffing budget. A simulation-based optimization algorithm is adopted to minimize the average Length of Stay (LOS) under a budget constraint. We conduct a sensitivity analysis on the optimal average LOS as a function of the staffing budget, and derive useful recommendations to managers on how the budget can impact the performance of the system. |
| Starting Page | 1421 |
| Ending Page | 1432 |
| File Size | 461055 |
| Page Count | 12 |
| File Format | |
| e-ISBN | 9781479974863 |
| DOI | 10.1109/WSC.2014.7019996 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data models Hospitals Computational modeling Analytical models Adaptation models Biological system modeling |
| Content Type | Text |
| Resource Type | Article |
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