Operating theatre planning A Guinet, S Chaabane International Journal of Production Economics 85 (1), 69-81, 2003 | 426 | 2003 |
Time series modelling and forecasting of emergency department overcrowding F Kadri, F Harrou, S Chaabane, C Tahon Journal of medical systems 38, 1-20, 2014 | 201 | 2014 |
Scheduling under uncertainty: Survey and research directions T Chaari, S Chaabane, N Aissani, D Trentesaux 2014 International conference on advanced logistics and transport (ICALT …, 2014 | 121 | 2014 |
Improved principal component analysis for anomaly detection: Application to an emergency department F Harrou, F Kadri, S Chaabane, C Tahon, Y Sun Computers & Industrial Engineering 88, 63-77, 2015 | 117 | 2015 |
A simulation-based decision support system to prevent and predict strain situations in emergency department systems F Kadri, S Chaabane, C Tahon Simulation modelling practice and theory 42, 32-52, 2014 | 113 | 2014 |
Seasonal ARMA-based SPC charts for anomaly detection: Application to emergency department systems F Kadri, F Harrou, S Chaabane, Y Sun, C Tahon Neurocomputing 173, 2102-2114, 2016 | 109 | 2016 |
Comparison of two methods of operating theatre planning: application in Belgian hospital S Chaabane, N Meskens, A Guinet, M Laurent 2006 International conference on service systems and service management 1 …, 2006 | 106 | 2006 |
A multi-agent system based on reactive decision rules for solving the caregiver routing problem in home health care E Marcon, S Chaabane, Y Sallez, T Bonte, D Trentesaux Simulation Modelling Practice and Theory 74, 134-151, 2017 | 68 | 2017 |
A genetic algorithm for robust hybrid flow shop scheduling T Chaari, S Chaabane, T Loukil, D Trentesaux International Journal of Computer Integrated Manufacturing 24 (9), 821-833, 2011 | 68 | 2011 |
Gestion prédictive des blocs opératoires S Chaabane INSA de Lyon, 2004 | 60 | 2004 |
Predicting hospital length of stay using regression models: Application to emergency department C Combes, F Kadri, S Chaabane 10ème Conférence Francophone de Modélisation, Optimisation et Simulation …, 2014 | 59 | 2014 |
Using machine learning models to predict the length of stay in a hospital setting RN Mekhaldi, P Caulier, S Chaabane, A Chraibi, S Piechowiak World conference on information systems and technologies, 202-211, 2020 | 51 | 2020 |
A rail-road PI-hub allocation problem: Active and reactive approaches F Walha, A Bekrar, S Chaabane, TM Loukil Computers in Industry 81, 138-151, 2016 | 50 | 2016 |
Block scheduling: Toward a master surgical schedule S Kharraja, P Albert, S Chaabane 2006 International conference on service systems and service management 1 …, 2006 | 48 | 2006 |
Semi-heterarchical control of FMS: From theory to application Y Sallez, T Berger, S Raileanu, S Chaabane, D Trentesaux Engineering Applications of Artificial Intelligence 23 (8), 1314-1326, 2010 | 46 | 2010 |
Modelling and management of strain situations in hospital systems using an orca approach F Kadri, C Pach, S Chaabane, T Berger, D Trentesaux, C Tahon, Y Sallez Proceedings of 2013 international conference on industrial engineering and …, 2013 | 40 | 2013 |
Evaluation de performances pour deux stratégies de programmation opératoire de bloc S Kharraja, S Chaabane, E Marcon Conférence Internationale Francophone d'Automatique CIFA, 2002 | 33 | 2002 |
La gestion industrielle et la gestion des blocs opératoires S Chaabane, A Guinet, N Smolski, M Guiraud, B Luquet, E Marcon, ... Annales françaises d'anesthésie et de réanimation 22 (10), 904-908, 2003 | 30 | 2003 |
Machine learning for emergency department management S Benbelkacem, F Kadri, B Atmani, S Chaabane International Journal of Information Systems in the Service Sector (IJISSS …, 2019 | 23 | 2019 |
The cross docking under uncertainty: State of the art F Walha, S Chaabane, A Bekrar, T Loukil 2014 international conference on advanced logistics and transport (ICALT …, 2014 | 23 | 2014 |