R. E. Abdel-aal and A. M. Mangoud, Modeling and forecasting monthly patient volume at a primary health care clinic using univariate time-series analysis, Computer Methods and Programs in Biomedicine, vol.56, issue.3, pp.235-247, 1998.
DOI : 10.1016/S0169-2607(98)00032-7

B. Abdolhamidzadeh, Decision Support Systems for Preventing Domino Effects -Domino Effects in the Process Industries, Domino Effects in the Process Industries Modelling, Prevention and Managing, 2013.

L. Aboueljinane, E. Sahin, Z. Jemai, and J. Marty, A simulation study to improve the performance of an emergency medical service: Application to the French Val-de-Marne department, Simulation Modelling Practice and Theory, vol.47, pp.46-59, 2014.
DOI : 10.1016/j.simpat.2014.05.007

H. Adeli, Expert Systems in Construction and Structural Engineering, 2003.

W. N. Adger, Social and ecological resilience: are they related?, Progress in Human Geography, vol.84, issue.10, pp.347-364, 2000.
DOI : 10.1191/030913200701540465

M. Adya, J. , and E. , Designing Effective Forecasting Decision Support Systems: Aligning Task Complexity and Technology Support, Decision Support Systems, 2012.
DOI : 10.5772/51255

M. A. Ahmed and T. M. Alkhamis, Simulation optimization for an emergency department healthcare unit in Kuwait, European Journal of Operational Research, vol.198, issue.3, pp.936-942, 2009.
DOI : 10.1016/j.ejor.2008.10.025

M. Aini and A. Fakhrul-razi, Development of socio-technical disaster model, Safety Science, vol.48, issue.10, pp.1286-1295, 2010.
DOI : 10.1016/j.ssci.2010.04.007

A. Akharraz, Acceptabilité de la décision et risque décisionnel : Un système explicatif de fusion d'informations par l'intégrale de Choquet, 2004.

W. Albers, Risk-Adjusted Control Charts for Health Care Monitoring, International Journal of Mathematics and Mathematical Sciences, vol.73, issue.4, pp.1-17, 2011.
DOI : 10.1111/j.1467-9574.2008.00390.x

A. Al-refaie, R. H. Fouad, M. Li, and M. Shurrab, Applying simulation and DEA to improve performance of emergency department in a Jordanian hospital, Simulation Modelling Practice and Theory, vol.41, pp.59-72, 2014.
DOI : 10.1016/j.simpat.2013.11.010

D. Alvear, O. Abreu, A. Cuesta, and V. Alonso, Decision support system for emergency management: Road tunnels, Tunnelling and Underground Space Technology, vol.34, pp.13-21, 2013.
DOI : 10.1016/j.tust.2012.10.005

T. M. Amaral and A. P. Costa, Improving decision-making and management of hospital resources: An application of the PROMETHEE II method in an Emergency Department, Operations Research for Health Care, vol.3, issue.1, pp.1-6, 2014.
DOI : 10.1016/j.orhc.2013.10.002

T. Andersson and P. Värbrand, Decision support tools for ambulance dispatch and relocation, J. Oper. Res. Soc, pp.195-2001, 2007.

S. Anders, D. Woods, R. Wears, S. Perry, and E. Patterson, Limits on adaptation: modeling resilience and brittleness in hospital emergency departments, Presented at the 2nd Symposium on Resilience Engineering, 2006.

M. Anneveld, C. Linden, . Van-der, D. Grootendorst, and M. Galli-leslie, Measuring emergency department crowding in an inner city hospital in The Netherlands, International Journal of Emergency Medicine, vol.6, issue.1, 2013.
DOI : 10.1186/1865-1380-6-21

M. Z. Babai, M. M. Ali, J. E. Boylan, and A. A. Syntetos, Forecasting and inventory performance in a two-stage supply chain with ARIMA(0,1,1) demand: Theory and empirical analysis, Focusing on Inventories: Research and Applications, pp.463-471, 2013.
DOI : 10.1016/j.ijpe.2011.09.004

P. D. Babin and A. G. Greenwood, Discretely evaluating complex systems: simulation is a valuable tool for lean Six Sigma, Ind. Eng. Manag, vol.43, pp.34-38, 2011.

B. Balasko, Z. Banko, and J. Abonyi, Analyzing trends by symbolic episode representation and sequence alignment, 2007 Mediterranean Conference on Control & Automation, pp.1-6, 2007.
DOI : 10.1109/MED.2007.4433862

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.95.739

A. Banerjee, Co-integration, Error Correction, and the Econometric Analysis of Non-stationary Data, 1993.
DOI : 10.1093/0198288107.001.0001

M. Basseville and I. V. Nikiforov, Detection of Abrupt Changes: Theory and Application, 1993.
URL : https://hal.archives-ouvertes.fr/hal-00008518

D. Baubeau, A. Deville, and M. Joubert, Les passages aux urgences de 1990 à 1998 : une demande croissante de soins non programmés, 2000.

H. Beaulieu, J. A. Ferland, B. Gendron, and P. Michelon, A mathematical programming approach for scheduling physicians in the emergency room, Health Care Management Science, vol.3, issue.3, pp.193-200, 2000.
DOI : 10.1023/A:1019009928005

J. Békaert, G. Masclet, and R. Caron, Les instruments de mesure de la r??silience chez les adolescents ayant ??t?? confront??s ?? un traumatisme??: une revue de la litt??rature, Annales M??dico-psychologiques, revue psychiatrique, vol.169, issue.8, pp.510-516, 2011.
DOI : 10.1016/j.amp.2010.10.007

A. Belaidi, B. Besombes, and E. Marcon, R??organisation d???un service d???urgences et aide au pilotage des flux de patients : Apport de la mod??lisation d???entreprise et de la simulation de flux, Logistique & Management, vol.15, issue.1, pp.61-73, 2007.
DOI : 10.1080/12507970.2007.11516873

A. Benaicha, M. Guerfel, N. Bouguila, and K. Benothman, New PCA-based methodology for sensor fault detection and localization, in: MOSIM'10, pp.1-8, 2010.

S. Benbelkacem, F. Kadri, S. Chaabane, and B. Atmani, A data mining-based approach to predict strain situations in hospital emergency department systems, the International Conference of Modeling and Simulation -MOSIM'14, pp.10-11, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01081556

H. Benchekroun, F. Bourgeois, and F. Hubault, Comment aider l'encadrement de proximité à faire des arbitrages face à des situations à risques, Presenté au 37em Congrès de la SELF, pp.377-385, 2002.

C. Berchet, Modélisation pour la simulation d'un système d, 2000.

J. Bergs, P. Heerinckx, and S. Verelst, Knowing what to expect, forecasting monthly emergency department visits: A time-series analysis, International Emergency Nursing, vol.22, issue.2, pp.112-115, 2014.
DOI : 10.1016/j.ienj.2013.08.001

S. L. Bernstein, V. Verghese, W. Leung, A. T. Lunney, and I. Perez, Development and Validation of a New Index to Measure Emergency Department Crowding, Academic Emergency Medicine, vol.8, issue.9, 2003.
DOI : 10.1197/aemj.9.11.1131

P. Bhowal, D. Sarkar, S. Mukhopadhyay, and A. Basu, Fault diagnosis in discrete time hybrid systems ??? A case study, Including: The 3rd International Workshop on Computational Intelligence in Economics and Finance (CIEF'2003), pp.1290-1308, 2007.
DOI : 10.1016/j.ins.2006.08.004

D. Biau, L. Dessolle, and R. Porcher, Applications and Experiences of Quality Control to Surgical and Interventional Procedures, Applications and Experiences of Quality Control, 2011.
DOI : 10.5772/15877

A. Boin, A. Mcconnell, and P. Hart, Governing after Crisis: The Politics of Investigation, Accountability and Learning, issue.1, 2008.
DOI : 10.1017/CBO9780511756122

K. Bond, M. B. Ospina, S. Blitz, M. Afilalo, S. G. Campbell et al., Frequency, Determinants and Impact of Overcrowding in Emergency Departments in Canada: A National Survey, Healthcare Quarterly, vol.10, issue.4, pp.32-40, 2007.
DOI : 10.12927/hcq.2007.19312

K. Bouamrane and C. Tahon, Decision making system for regulation of a bimodal urban transportation network, associating a classical and a multi-agent approaches, Informatica, vol.16, pp.473-502, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00369092

A. Boumane, Développement d'une méthodologie de gestion des compétences, 2007.

L. Bourcart, Les multiples sens de la résilience : du renouvellement des méthodes de gestion de crise à l, 2011.

G. E. Box and G. M. Jenkins, Time series analysis: forecasting and control, 1976.
DOI : 10.1002/9781118619193

G. E. Box, G. M. Jenkins, and G. C. Reinsel, Time series analysis: forecasting and control, 4 th, 2008.
DOI : 10.1002/9781118619193

A. Boyle, K. Beniuk, I. Higginson, and P. Atkinson, Emergency Department Crowding: Time for Interventions and Policy Evaluations, Emergency Medicine International, vol.8, issue.11, 2012.
DOI : 10.1016/j.annemergmed.2007.01.017

J. Brans and P. Vincke, Note???A Preference Ranking Organisation Method, Management Science, vol.31, issue.6, pp.647-656, 1985.
DOI : 10.1287/mnsc.31.6.647

M. Brémond, S. S. Mick, D. Robert, C. Pascal, and J. Claveranne, Crises et tensions au sein de l'h??pital public??: changer la donne ou donner le change???, Les Tribunes de la sant??, vol.38, issue.1, pp.77-94, 2013.
DOI : 10.3917/seve.038.0077

S. Brenner, Z. Zeng, Y. Liu, J. Wang, J. Li et al., Modeling and Analysis of the Emergency Department at University of Kentucky Chandler Hospital Using Simulations, Journal of Emergency Nursing, vol.36, issue.4, pp.303-310, 2010.
DOI : 10.1016/j.jen.2009.07.018

M. Bruneau, S. E. Chang, R. T. Eguchi, G. C. Lee, T. D. O-'rourke et al., A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities, Earthquake Spectra, vol.19, issue.4, pp.733-752, 2003.
DOI : 10.1193/1.1623497

E. Cabrera, M. Taboada, M. L. Iglesias, F. Epelde, and E. Luque, Optimization of Healthcare Emergency Departments by Agent-Based Simulation, Procedia Computer Science, vol.4, pp.1880-1889, 2011.
DOI : 10.1016/j.procs.2011.04.204

E. Cabrera, M. Taboada, M. L. Iglesias, F. Epelde, and E. Luque, Simulation Optimization for Healthcare Emergency Departments, Procedia Computer Science, vol.9, pp.1464-1473, 2012.
DOI : 10.1016/j.procs.2012.04.161

O. Cardin, Apport de la simulation en ligne dans l'aide à la décision pour le pilotage des systèmes de production. Application à un système flexible de production, 2007.

R. G. Carey and R. C. Lloyd, Measuring quality improvement in healthcare: a guide to statistical process control applications, Amer Society for Quality, 2001.

S. Carpenter, B. Walker, J. M. Anderies, and N. Abel, From Metaphor to Measurement: Resilience of What to What? Ecosystems 4, pp.765-781, 2001.

E. Cash, R. Cash, J. Ducassé, C. Hault, F. Marrthieu et al., Enquête qualitative préalable à la définition d'une enquête nationale sur les urgences hospitalières, 2013.

S. Cassadou, C. Ricoux, C. Gourier-fréry, V. Schwoebel, and A. Guinard, Conséquences sanitaires de l'explosion survenue à l'usine " AZF " de Toulouse le 21 Septembre, 2001.

J. Cegarra, W. Wezel, and . Van, Revisiting Decision Support Systems for Cognitive Readiness, Journal of Cognitive Engineering and Decision Making, vol.2, issue.4, pp.305-527, 2012.
DOI : 10.1037/e431002005-001

R. Champion, L. D. Kinsman, G. A. Lee, K. A. Masman, E. A. May et al., Forecasting emergency department presentations, Australian Health Review, vol.31, issue.1, pp.83-90, 2007.
DOI : 10.1071/AH070083

URL : http://arrow.latrobe.edu.au:8080/vital/access/manager/Repository/latrobe:24406/SOURCE01

K. Chang, S. Wan, and T. Lei, Development of a spatial decision support system for monitoring earthquake-induced landslides based on aerial photographs and the finite element method, International Journal of Applied Earth Observation and Geoinformation, vol.12, issue.6, pp.448-456, 2010.
DOI : 10.1016/j.jag.2010.06.002

G. Charpy, Note sur l'essai des métaux à la flexion par choc de barreaux entaillés, 1901.

C. Chen, W. Ho, H. Chou, S. Yang, I. Chen et al., Long-Term Prediction of Emergency Department Revenue and Visitor Volume Using Autoregressive Integrated Moving Average Model, Computational and Mathematical Methods in Medicine, vol.8, issue.1, pp.1-7, 2011.
DOI : 10.1155/2011/857892

C. Chen, C. Lin, and Y. Chen, Adaptive error-resilience transcoding using prioritized intra-refresh for video multicast over wireless networks. Signal Process, Image Commun, vol.22, pp.277-297, 2007.
DOI : 10.1016/j.image.2006.12.010

G. A. Cherry and S. J. Qin, Multiblock Principal Component Analysis Based on a Combined Index for Semiconductor Fault Detection and Diagnosis, IEEE Transactions on Semiconductor Manufacturing, vol.19, issue.2, pp.159-172, 2006.
DOI : 10.1109/TSM.2006.873524

L. Chiang, E. L. Russell, and R. Braatz, Fault Detection and Diagnosis in Industrial Systems, Advanced Textbooks in Control and Signal Processing, Softcover reprint of the original, 2001.

G. Cimellaro, C. Fumo, A. Reinhorn, and M. Bruneau, Seismic resilience of health care facilities, World Conference on Earthquake Engineering, pp.12-17, 2008.

G. P. Cimellaro, A. M. Reinhorn, and M. Bruneau, Framework for analytical quantification of disaster resilience, Engineering Structures, vol.32, issue.11, pp.3639-3649, 2010.
DOI : 10.1016/j.engstruct.2010.08.008

G. Cimellaro, A. Reinhorn, and M. Bruneau, Quantification of seismic resilience, Proceedings of the 8th U.S. National Conference on Earthquake Engineering, p.10, 2006.

M. Combacau, Commande et surveillance des systèmes à événements discrets complexes: application aux ateliers flexibles, 1991.

P. Coriat, F. Braun, J. Genet, P. Goldstein, A. Nazac et al., Propositions sur la composition, les missions et le champ d'action du Conseil national de l'urgence et de la permanence des soins (rapport public) Ministre de la santé, 2008.

A. Cox, F. Prager, and A. Rose, Transportation security and the role of resilience: A foundation for operational metrics, Transport Policy, vol.18, issue.2, pp.307-317, 2011.
DOI : 10.1016/j.tranpol.2010.09.004

R. Crosier, Multivariate Generalizations of Cumulative Sum Quality-Control Schemes, Technometrics, vol.14, issue.3, pp.291-303, 1988.
DOI : 10.1080/00401706.1985.10488053

J. D. Cryer and K. Chan, Time series analysis with applications in R, 2 nd, 2009.

X. Dai and Z. Gao, From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis, IEEE Transactions on Industrial Informatics, vol.9, issue.4, pp.2226-2238, 2013.
DOI : 10.1109/TII.2013.2243743

M. Dautel, X. Montserrat, and P. De-rezende, Etude comparée de l'organisation des services d'urgence dans dix pays européens, p.290, 2002.

H. Devanandham and J. Ramired-marquez, Generic metrics and quantitative approaches for system resilience as a function of time, Reliab. Eng. Syst. Saf, vol.99, pp.114-122, 2012.

M. Diefenbach and E. Kozan, Hospital emergency department simulation for resource analysis, Industrial Engineering & Management Systems, vol.7, issue.2, pp.133-142, 2008.

K. A. Dowsland, Nurse scheduling with tabu search and strategic oscillation, European Journal of Operational Research, vol.106, issue.2-3, pp.393-407, 1998.
DOI : 10.1016/S0377-2217(97)00281-6

S. L. Doyle, J. Kingsnorth, C. E. Guzzetta, S. A. Jahnke, J. C. Mckenna et al., Outcomes of Implementing Rapid Triage in the Pediatric Emergency Department, Journal of Emergency Nursing, vol.38, issue.1, pp.30-35, 2012.
DOI : 10.1016/j.jen.2010.08.013

A. Drummond, No room at the inn: overcrowding in Ontario???s emergency departments, CJEM, vol.17, issue.02, pp.91-97, 2002.
DOI : 10.1016/0736-4679(94)00157-X

C. Duguay and F. Chetouane, Modeling and Improving Emergency Department Systems using Discrete Event Simulation, SIMULATION, vol.83, issue.4, pp.311-320, 2007.
DOI : 10.1177/0037549707083111

A. J. Duncan, The Economic Design of | barX Charts used to Maintain Current Control of a Process, Journal of the American Statistical Association, vol.51, issue.274, pp.228-242, 1956.
DOI : 10.2307/2281343

S. S. Durduran, A decision making system to automatic recognize of traffic accidents on the basis of a GIS platform, Expert Systems with Applications, vol.37, issue.12, pp.7729-7736, 2010.
DOI : 10.1016/j.eswa.2010.04.068

A. Earnest, M. I. Chen, D. Ng, and L. Y. Sin, Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore, BMC Health Services Research, vol.89, issue.2, p.36, 2005.
DOI : 10.1093/bja/aef168

V. ?. Ediger and S. Akar, ARIMA forecasting of primary energy demand by fuel in Turkey, Energy Policy, vol.35, issue.3, pp.1701-1708, 2007.
DOI : 10.1016/j.enpol.2006.05.009

V. ?. Ediger, S. Akar, and B. U?urlu, Forecasting production of fossil fuel sources in Turkey using a comparative regression and ARIMA model, Energy Policy, vol.34, issue.18, pp.3836-3846, 2006.
DOI : 10.1016/j.enpol.2005.08.023

M. Endsley and D. Kaber, Level of automation effects on performance, situation awareness and workload in a dynamic control task, Ergonomics, vol.60, issue.3, pp.462-492, 1999.
DOI : 10.1080/00140138008924809

M. J. Fagel, Crisis Management and Emergency Planning: Preparing for Today's Challenges, 2013.
DOI : 10.1201/b16072

D. M. Fatovich, Y. Nagree, and P. Sprivulis, Access block causes emergency department overcrowding and ambulance diversion in Perth, Western Australia, Emergency Medicine Journal, vol.22, issue.5, pp.351-354, 2005.
DOI : 10.1136/emj.2004.018002

C. Fee, E. J. Weber, P. Bacchetti, and C. A. Maak, Effect of emergency department crowding on pneumonia admission care components, Am. J. Manag. Care, vol.17, pp.269-278, 2011.

P. J. Feenstra, P. J. Mosterman, G. Biswas, and P. C. Breedveld, Bond Graph Modeling Procedures for Fault Detection and Isolation of Complex Flow Processes, Proc. ICBGM'01, pp.77-82, 2001.

A. V. Feigenbaum, Total quality control: Engineering and Management, 1983.

J. Fiksel, Designing Resilient, Sustainable Systems, Environmental Science & Technology, vol.37, issue.23, pp.5330-5339, 2003.
DOI : 10.1021/es0344819

G. Fischer and T. Herrmann, Socio-Technical Systems, International Journal of Sociotechnology and Knowledge Development, vol.3, issue.1, pp.1-33, 2011.
DOI : 10.4018/jskd.2011010101

URL : https://hal.archives-ouvertes.fr/hal-01388581

P. Flynn, K. Curran, and T. Lunney, A decision support system for telecommunications, International Journal of Network Management, vol.12, issue.2, pp.69-80, 2002.
DOI : 10.1002/nem.422

D. Fogli and G. Guida, Knowledge-centered design of decision support systems for emergency management, Decision Support Systems, vol.55, issue.1, pp.336-347, 2013.
DOI : 10.1016/j.dss.2013.01.022

J. Geldermann, V. Bertsch, M. Treitz, S. French, K. N. Papamichail et al., Multi-criteria decision support and evaluation of strategies for nuclear remediation management???, Omega, vol.37, issue.1, pp.238-251, 2009.
DOI : 10.1016/j.omega.2006.11.006

J. P. George, D. Z. Chen, and P. Shaw, Fault Detection of Drinking Water Treatment Process Using PCA and Hotelling's T2 Chart, Eng. Technol, vol.50, pp.970-975, 2009.

J. Gertler, Fault Detection and Diagnosis in Engineering Systems, 1998.

J. Gertler, W. Li, Y. Huang, and T. Mcavoy, Isolation enhanced principal component analysis, AIChE Journal, vol.41, issue.2, pp.323-334, 1999.
DOI : 10.1002/aic.690450213

M. C. Goldman, How one power grid kept lights on Toronto Star, 2003.

C. J. Gonzalez, M. Gonzalez, and N. M. Ríos, Improving the quality of service in an emergency room using simulation-animation and total quality management, Computers & Industrial Engineering, vol.33, issue.1-2, pp.97-100, 1997.
DOI : 10.1016/S0360-8352(97)00049-1

J. G. Gooijer and R. J. Hyndman, 25 years of time series forecasting, International Journal of Forecasting, vol.22, issue.3, pp.443-473, 2006.
DOI : 10.1016/j.ijforecast.2006.01.001

V. Goussé, Apport de la g??n??tique dans les ??tudes sur la r??silience : l???exemple de l???autisme, Annales M??dico-psychologiques, revue psychiatrique, vol.166, issue.7, 2008.
DOI : 10.1016/j.amp.2005.09.025

M. S. Grewal and A. P. Andrews, Kalman Filtering: Theory and Practice Using MATLAB, 2011.
DOI : 10.1002/9781118984987

H. A. Hafez and K. Eldahshan, Data Driven DSS in telecommunications industry, 2010 10th International Conference on Intelligent Systems Design and Applications, pp.720-723, 2010.
DOI : 10.1109/ISDA.2010.5687178

S. O. Hansson, Decision Theory: A Brief Introduction, R. Inst. Technol. KTH ? Dep. Philos. Hist. Technol. Stockh, 2005.

M. Harkat, S. Djelel, N. Doghmane, and M. Benouaret, Sensor fault detection, isolation and reconstruction using nonlinear principal component analysis, International Journal of Automation and Computing, vol.53, issue.5, pp.149-155, 2007.
DOI : 10.1007/s11633-007-0149-6

J. Harmouche, C. Delpha, and D. Diallo, Incipient fault detection and diagnosis based on Kullback?Leibler divergence using Principal Component Analysis: Part I. Signal Process, pp.278-287, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00862918

J. Harrald, restoring the national respos suystems, Transp. Res. Board Natl. Acad, pp.9-13, 2007.

F. Harrou, M. Nounou, and H. Nounou, A statistical fault detection strategy using PCA based EWMA control schemes, 2013 9th Asian Control Conference (ASCC), pp.1-4, 2013.
DOI : 10.1109/ASCC.2013.6606311

J. Hassan, ARIMA and regression models for prediction of daily and monthly clearness index, Renewable Energy, vol.68, pp.421-427, 2014.
DOI : 10.1016/j.renene.2014.02.016

D. M. Hawkins, Multivariate Quality Control Based on Regression-Adjusted Variables, Technometrics, vol.33, issue.1, pp.61-75, 1991.
DOI : 10.2307/1269008

D. M. Hawkins and D. H. Olwell, Cumulative Sum Charts and Charting for Quality Improvement, 1998.
DOI : 10.1007/978-1-4612-1686-5

O. Heini, Designing a generic measure and performance indicator model (science in communication and information systems), 2007.

C. Holling, Engineering Within Ecological Constraints. Natl, pp.31-43, 1996.

E. Hollnagel, Resilience engineering in practice a guidebook, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00613345

E. Hollnagel, J. Paries, and D. Woods, Resilience engineering in practice a guidebook, Ashgate Studies in Resilience Engineering. Ashgate, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00613345

E. Hollnagel, D. D. Woods, and N. Leveson, Resilience Engineering: Concepts and Precepts, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00572766

N. R. Hoot and D. Aronsky, Systematic Review of Emergency Department Crowding: Causes, Effects, and Solutions, Annals of Emergency Medicine, vol.52, issue.2, pp.126-136, 2008.
DOI : 10.1016/j.annemergmed.2008.03.014

N. R. Hoot, C. Zhou, I. Jones, and D. Aronsky, Measuring and Forecasting Emergency Department Crowding in Real Time, Annals of Emergency Medicine, vol.49, issue.6, pp.747-755, 2007.
DOI : 10.1016/j.annemergmed.2007.01.017

J. F. Horne, A New Direction: The Coming Age of Organizational Resilience, Bus. Forum, vol.22, pp.24-28, 1997.

H. Hotelling, Analysis of a Complex of Statistical Variables Into Principal Components, 1933.

H. Hotelling, Multivariate Quality Control Illustrated by the Air Testing of Sample Bombsights, Tech. Stat. Anal, pp.111-184, 1947.

Y. Huang, J. Gertler, and T. J. Mcavoy, Sensor and actuator fault isolation by structured partial PCA with nonlinear extensions, Journal of Process Control, vol.10, issue.5, pp.459-469, 2000.
DOI : 10.1016/S0959-1524(00)00021-4

Z. Huang, J. M. Juarez, H. Duan, and H. Li, Reprint of ???Length of stay prediction for clinical treatment process using temporal similarity???, Expert Systems with Applications, vol.41, issue.2, pp.274-283, 2014.
DOI : 10.1016/j.eswa.2013.08.036

G. Hunte, Creating Safety in an Emergency Department. The University Of British Columbia, 2010.

I. Hwang, S. Kim, Y. Kim, and C. E. Seah, A Survey of Fault Detection, Isolation, and Reconfiguration Methods, IEEE Transactions on Control Systems Technology, vol.18, issue.3, pp.636-653, 2010.
DOI : 10.1109/TCST.2009.2026285

U. Hwang, M. L. Mccarthy, D. Aronsky, B. Asplin, P. W. Crane et al., Measures of Crowding in the Emergency Department: A Systematic Review, Academic Emergency Medicine, vol.184, issue.5, pp.527-538, 2011.
DOI : 10.1111/j.1553-2712.2011.01054.x

A. Hyvärinen, J. Karhunen, and E. Oja, Independent Component Analysis, 2001.

R. Isermann, Fault-Diagnosis Systems -An Introduction from Fault Detection to Fault Tolerance, 2006.

R. Isermann, Supervision, fault-detection and diagnosis methods ??? a short introduction, pp.11-45, 2011.
DOI : 10.1007/978-3-642-12767-0_2

K. Ishikawa, La gestion de la qualité?:qualité? qualité?: outils et applications pratiques, 2007.

J. E. Jackson, A User's Guide to Principal Components, Édition : New edition, 2003.

A. Jebali, Vers un outil d'aide à la planification et à l'ordonnancement des ressources dans les services de soins, 2004.

I. Jolliffe, Principal Component Analysis, Springer Series in Statistics, 2002.

I. T. Jolliffe, Principal Component Analysis, Édition : Softcover reprint of the original 2nd ed, 2002.

S. A. Jones, M. P. Joy, and J. Pearson, Forecasting demand of emergency care, Health Care Management Science, vol.5, issue.4, pp.297-305, 2002.
DOI : 10.1023/A:1020390425029

S. S. Jones and R. S. Evans, An Agent Based Simulation Tool for Scheduling Emergency Department Physicians, AMIA. Annu. Symp. Proc, pp.338-342, 2008.

S. S. Jones, R. S. Evans, T. L. Allen, A. Thomas, P. J. Haug et al., A multivariate time series approach to modeling and forecasting demand in the emergency department, Journal of Biomedical Informatics, vol.42, issue.1, pp.123-139, 2009.
DOI : 10.1016/j.jbi.2008.05.003

R. B. Jongejan, I. Helsloot, R. J. Beerens, and J. K. Vrijling, How prepared is prepared enough?, Disasters, vol.27, issue.1, pp.130-142, 2011.
DOI : 10.1111/j.1467-7717.2010.01196.x

S. Jordan and M. Messner, Enabling control and the problem of incomplete performance indicators, Accounting, Organizations and Society, vol.37, issue.8, pp.544-564, 2012.
DOI : 10.1016/j.aos.2012.08.002

F. Kadri, S. Chaabane, F. Harrou, and C. Tahon, Time Series Modelling and Forecasting of Emergency Department Overcrowding, Journal of Medical Systems, vol.5, issue.2, pp.1-20, 2014.
DOI : 10.1007/s10916-014-0107-0

F. Kadri, S. Chaabane, F. Harrou, and C. Tahon, Modélisation et prévision des flux quotidiens des patients aux urgences hospitalières en utilisant l'analyse de séries chronologiques, 7ème Conférence de Gestion et Ingénierie Des Systèmes Hospitaliers (GISEH), p.8, 2014.

F. Kadri, S. Chaabane, and C. Tahon, Rapport d'activité du projet ANR HOST: Hôpital : Optimisation, Simulation et évitement des Tensions, 2012.

F. Kadri, S. Chaabane, and C. Tahon, Service d'urgences hospitalières : situations de tension et résilience, Presented at the JD-JN-MACS, p.6, 2013.

F. Kadri, S. Chaabane, and C. Tahon, A simulation-based decision support system to prevent and predict strain situations in emergency department systems, Simulation Modelling Practice and Theory, vol.42, pp.32-52, 2014.
DOI : 10.1016/j.simpat.2013.12.004

F. Kadri, S. Chaabane, and C. Tahon, Vers la résilience des services d'urgences hospitalières : gestion efficace des situations de tension, in: 10ème Conférence Francophone de Modélisation, Optimisation et Simulation-MOSIM, pp.14-19, 2014.

F. Kadri, E. Châtelet, and B. Birregah, Abstract, Journal of Homeland Security and Emergency Management, vol.0, issue.0, pp.217-241, 2014.
DOI : 10.1515/jhsem-2012-0077

F. Kadri, E. Châtelet, and G. Chen, Method for quantitative assessment of domino effect caused by Advances in Safety, Reliability and Risk Management, 1360.

F. Kadri, C. , E. , C. , and G. , Method for quantitative assessment of the domino effect in industrial sites, Process Safety and Environmental Protection, vol.91, issue.6, pp.452-462, 2013.
DOI : 10.1016/j.psep.2012.10.010

F. Kadri, C. Pach, S. Chaabane, T. Berger, D. Trentesaux et al., Modelling and management of the strain situations in hospital systems using un ORCA approach, IEEE IESM, pp.28-30, 2013.

M. Kano and Y. Nakagawa, Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry, Computers & Chemical Engineering, vol.32, issue.1-2, pp.12-24, 2008.
DOI : 10.1016/j.compchemeng.2007.07.005

A. L. Kellermann, Crisis in the Emergency Department, New England Journal of Medicine, vol.355, issue.13, pp.1300-1303, 2006.
DOI : 10.1056/NEJMp068194

K. Kennedy, M. Salzillo, A. Olinsky, and J. Quinn, Forecasting Patient Volume for a Large Hospital System: A Comparison of the Periodicity of Time Series Data and Forecasting Approaches, Adv. Bus. Manag. Forecast, vol.9, pp.33-44, 2013.
DOI : 10.1108/S1477-4070(2013)0000009006

R. K. Khare, E. S. Powell, G. Reinhardt, and M. Lucenti, Adding More Beds to the Emergency Department or Reducing Admitted Patient Boarding Times: Which Has a More Significant Influence on Emergency Department Congestion?, Annals of Emergency Medicine, vol.53, issue.5, pp.575-585, 2009.
DOI : 10.1016/j.annemergmed.2008.07.009

R. Kohli and F. Piontek, DSS in Healthcare: Advances and Opportunities, in: Handbook on Decision Support Systems 2, International Handbooks Information System, pp.483-497, 2008.

A. Komashie and A. Mousavi, Modeling Emergency Departments Using Discrete Event Simulation Techniques, Proceedings of the Winter Simulation Conference, 2005., pp.2681-2685, 2005.
DOI : 10.1109/WSC.2005.1574570

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.1089

S. Lambe, D. L. Washington, A. Fink, M. Laouri, H. Liu et al., Waiting times in California's emergency departments, Annals of Emergency Medicine, vol.41, issue.1, pp.35-44, 2003.
DOI : 10.1067/mem.2003.2

B. Larroque, Observateurs de systèmes linéaires : application à la détection et localisation de fautes (phd), 2008.
DOI : 10.3166/jesa.44.255-270

M. Laskowski, R. D. Mcleod, M. R. Friesen, B. W. Podaima, and A. S. Alfa, Models of Emergency Departments for Reducing Patient Waiting Times, PLoS ONE, vol.4, issue.7, pp.1-12, 2009.
DOI : 10.1371/journal.pone.0006127.t004

J. Lebraty and I. Pastorelli-nège, Biais cognitifs : quel statut dans la prise de décision assitée ?, Systèmes Inf. Manag, vol.9, pp.87-116, 2004.

E. L. Lehmann and J. Romano, Testing Statistical Hypotheses, 3 rd edition, 2005.

P. Levine and J. Pomerol, The role of the decision maker in DSSs and representation levels, Proceedings of the Twenty-Eighth Hawaii International Conference on System Sciences, vol.3, pp.42-51, 1995.
DOI : 10.1109/HICSS.1995.375575

S. Lhomme, D. Serre, Y. Diab, and R. Laganier, Les réseaux techniques face aux inondations ou comment définir des indicateurs de performance de ces réseaux pour évaluer la résilience urbaine, Bull. Assoc. Géographes Fr. Geogr, pp.487-502, 2010.

W. T. Lin, Modeling and forecasting hospital patient movements: Univariate and multiple time series approaches, International Journal of Forecasting, vol.5, issue.2, pp.195-208, 1989.
DOI : 10.1016/0169-2070(89)90087-3

N. Litvak, M. Van-rijsbergen, R. J. Boucherie, and M. Van-houdenhoven, Managing the overflow of intensive care patients, European Journal of Operational Research, vol.185, issue.3, pp.998-1010, 2008.
DOI : 10.1016/j.ejor.2006.08.021

D. F. Lobach, K. Kawamoto, K. J. Anstrom, M. L. Russell, P. Woods et al., Development, deployment and usability of a point-of-care decision support system for chronic disease management using the recently-approved HL7 decision support service standard. Stud, Health Technol. Inform, vol.129, pp.861-865, 2007.

C. A. Lowry, W. H. Woodall, C. W. Champ, and S. E. Rigdon, A Multivariate Exponentially Weighted Moving Average Control Chart, Technometrics, vol.34, issue.1, pp.46-53, 1992.
DOI : 10.2307/1269551

H. Ltifi, Démarche centrée utilisateur pour la conception de SIAD basés sur un processus d'Extraction de Connaissances à partir de Données, 2011.

J. Luan, Contrôle de la qualité-MSP, analyse des performances et contrôle de réception, Technique et Ingénierie, Dunod/L'Usine Nouvelle. Dunod, 2002.

J. M. Lucas, Counted Data CUSUM's, Technometrics, vol.27, issue.2, pp.129-144, 1985.
DOI : 10.1080/00401706.1985.10488030

J. M. Lucas, M. S. Saccucci, J. Baxley, R. V. Woodall, W. H. Maragh et al., Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements, Technometrics, vol.31, issue.1, pp.1-29, 1990.
DOI : 10.1080/00401706.1990.10484583

J. Lundberg and B. Johansson, Pragmatic resilience, Proceedings of the Resilience Engineering Workshop, 2007.

M. Luo and C. Yang, Enabling fault resilience for web services, Computer Communications, vol.25, issue.3, pp.198-209, 2002.
DOI : 10.1016/S0140-3664(01)00363-2

F. Luthans, G. R. Vogelgesang, and P. B. Lester, Developing the Psychological Capital of Resiliency, Human Resource Development Review, vol.22, issue.1, pp.25-44, 2006.
DOI : 10.1177/1534484305285335

J. F. Macgregor and T. Kourti, Statistical process control of multivariate processes, Control Engineering Practice, vol.3, issue.3, pp.403-414, 1995.
DOI : 10.1016/0967-0661(95)00014-L

A. M. Madni, Designing for Resilience, ISTI Lect. Notes Adv. Top. Syst. Eng, 2007.

A. M. Madni and S. Jackson, Towards a Conceptual Framework for Resilience Engineering, IEEE Systems Journal, vol.3, issue.2, pp.181-191, 2009.
DOI : 10.1109/JSYST.2009.2017397

S. G. Makridakis, S. C. Wheelwright, and R. J. Hyndman, Forecasting: Methods and Applications, 1998.

L. A. Mallak, Measuring resilience in health care provider organizations, Health Manpower Management, vol.24, issue.4, pp.148-152, 1998.
DOI : 10.1108/09552069810215755

P. Mallak, Capabilities-based planning for the national preparedness system, Transp. Res. Board, pp.4-8, 2007.

E. Marcon, A. Guinet, and C. Tahon, Gestion et performance des systèmes hospitaliers, Productique. Hermès science, 2008.

K. V. Mardia, Applications of Some Measures of Multivariate Skewness and Kurtosis in Testing Normality and Robustness Studies, Sankhy? Indian J. Stat. Ser. B, pp.115-128, 1960.

Y. N. Marmor, S. Wasserkrug, S. Zeltyn, Y. Mesika, O. Greenshpan et al., Toward simulation-based real-time decision-support systems for emergency departments, Proceedings of the 2009 Winter Simulation Conference (WSC), pp.2042-2053, 2009.
DOI : 10.1109/WSC.2009.5429416

M. Rodríguez, G. , C. Hernández, and J. J. , A method for ascertaining the seasonal pattern of hospital emergency department visits, Rev. Esp. Salud Pública, vol.79, pp.5-15, 2005.

S. Martin, La résilience dans les modèles de systèmes écologiques et sociaux, 2005.

D. G. Mayer and D. G. Butler, Statistical validation, Ecological Modelling, vol.68, issue.1-2, pp.21-32, 1993.
DOI : 10.1016/0304-3800(93)90105-2

J. Meinadier, Ingénierie et intégration des systèmes, 1998.

G. Mélard, R. Roy, and A. Saidi, Exact maximum likelihood estimation of structured or unit root multivariate time series models, Computational Statistics & Data Analysis, vol.50, issue.11, pp.2958-2986, 2006.
DOI : 10.1016/j.csda.2005.06.009

K. Metaxoglou and . Smith, Maximum Likelihood Estimation of VARMA Models Using a State-Space EM Algorithm, Journal of Time Series Analysis, vol.11, issue.5, pp.666-685, 2007.
DOI : 10.1137/S1052623493250780

S. Mirdamadi, Modélisation du processus de pilotage d'un atelier en temps réel à l'aide de la simulation en ligne couplée à l'exécution, 2009.

B. Mnassri, Analyse de données multivariées et surveillance des processus industriels par analyse en composantes principales, 2012.

M. A. Mohammed, P. Worthington, and W. H. Woodall, Plotting basic control charts: tutorial notes for healthcare practitioners, Quality and Safety in Health Care, vol.17, issue.2, pp.137-145, 2008.
DOI : 10.1136/qshc.2004.012047

E. Molinie, L'hôpital public en France : bilan et perspectives, Journal officiel de la République française, 2005.

D. Montgomery, Introduction to Statistical Quality Control, 1997.

D. C. Montgomery and N. J. , Statistical quality control: a modern introduction, 2008.

D. C. Montgomery, Introduction to statistical quality control, 2012.

P. J. Mosterman, Diagnosis of Physical Systems with Hybrid Models Using Parametrized Causality, Hybrid Systems: Computation and Control, pp.447-458, 2001.
DOI : 10.1007/3-540-45351-2_36

A. Mouzakitis, Classification of Fault Diagnosis Methods for Control Systems, Measurement and Control, vol.46, issue.10, pp.303-308, 2013.
DOI : 10.1177/0020294013510471

H. Nakayama, N. Ansari, A. Jamalipour, and N. Kato, Fault-resilient sensing in wireless sensor networks, Computer Communications, vol.30, issue.11-12, pp.2375-2384, 2007.
DOI : 10.1016/j.comcom.2007.04.023

P. Narayanan, A. Basistha, S. Sarkar, and S. Kamna, Trend analysis and ARIMA modelling of pre-monsoon rainfall data for western India, Comptes Rendus Geoscience, vol.345, issue.1, pp.22-27, 2013.
DOI : 10.1016/j.crte.2012.12.001

C. Nemeth, R. Wears, D. Woods, E. Hollnagel, and R. Cook, Minding the Gaps: Creating Resilience in Health Care, Advances in Patient Safety: New Directions and Alternative Approaches Advances in Patient Safety. Agency for Healthcare Research and Quality (US), 2008.

T. Numanoglu, B. Tavli, and W. Heinzelman, Energy efficiency and error resilience in coordinated and non-coordinated medium access control protocols, Computer Communications, vol.29, issue.17, pp.3493-3506, 2006.
DOI : 10.1016/j.comcom.2006.01.023

J. P. Oddoye, D. F. Jones, M. Tamiz, and P. Schmidt, Combining simulation and goal programming for healthcare planning in a medical assessment unit, European Journal of Operational Research, vol.193, issue.1, pp.250-261, 2009.
DOI : 10.1016/j.ejor.2007.10.029

P. Oedewald and T. Reiman, Using subjective measures to monitor the systems' capability to manage complexity ? evidence from the nuclear industry and health care, 2nd Symposium on Resilience Engineering Presented at the 2nd Symposium on Resilience Engineering, pp.8-10, 2006.

O. Ondel, Diagnostic par reconnaissance des formes : application à un ensemble convertisseur machine asynchrone, 2006.
DOI : 10.3166/rige.9.299-331

URL : https://hal.archives-ouvertes.fr/tel-00113102

K. A. Ouedraogo, Apprentissage renforcé appliqué à l'évaluation de la résilience d'un Système Homme-Machine face à des situations critiques, 2013.

K. N. Papamichail and S. French, Design and evaluation of an intelligent decision support system for nuclear emergencies, Decision Support Systems, vol.41, issue.1, pp.84-111, 2005.
DOI : 10.1016/j.dss.2004.04.014

R. J. Patton and J. Chen, Review of parity space approaches to fault diagnosis for aerospace systems, Journal of Guidance, Control, and Dynamics, vol.17, issue.2, pp.278-285, 1994.
DOI : 10.2514/3.21194

B. Pavard, J. Dugdale, N. Bellamine-ben-saoud, and S. Dacry, Design of robust socio-technical systems, Proceedings of the 2nd International Symposium on Resilience Engineering, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00952218

E. Pearson, The application of statistical methods to industrial standardization and quality control, 1935.

S. Perry, R. Wears, J. Spillane, E. Hollnagel, F. Pieri et al., When worlds collide: two medication systems in one emergency department, Proceedings of the 3rd Resilience Engineering Symposium. Ecole des mines de Paris. Antibes? Juan-Les-Pins, 2008.

H. Pierreval, Proposition de typologie des décisions en temps réel agissant sur les flux des systèmes de production, 2ème Congrès MOSIM'99, 1999.

J. Pignatiello and G. Runger, Comparisons of Multivariate CUSUM Charts, J. Qual. Technol, vol.22, pp.173-186, 1990.

S. L. Pimm, The complexity and stability of ecosystems, Nature, vol.13, issue.5949, pp.321-326, 1984.
DOI : 10.1038/307321a0

D. J. Power, Decision Support Systems: Concepts and Resources for Managers, 2002.

D. J. Power, Decision Support Systems: A Historical Overview, in: Handbook on Decision Support Systems 1, International Handbooks Information System, pp.121-140, 2008.

S. J. Qin, Survey on data-driven industrial process monitoring and diagnosis, Annual Reviews in Control, vol.36, issue.2, pp.220-234, 2012.
DOI : 10.1016/j.arcontrol.2012.09.004

S. J. Qin and R. Dunia, Determining the number of principal components for best reconstruction, Journal of Process Control, vol.10, issue.2-3, pp.245-250, 2000.
DOI : 10.1016/S0959-1524(99)00043-8

S. J. Qin, S. Valle, and M. J. Piovoso, On unifying multiblock analysis with application to decentralized process monitoring, Journal of Chemometrics, vol.44, issue.9, pp.715-742, 2001.
DOI : 10.1002/cem.667

J. Rasmussen, The role of hierarchical knowledge representation in decisionmaking and system management, IEEE Transactions on Systems, Man, and Cybernetics, vol.15, issue.2, pp.234-243, 1985.
DOI : 10.1109/TSMC.1985.6313353

T. Reiman, V. Tutkimuskeskus, and . Teknillinen, Assessing Organizational Culture in Complex Sociotechnical Systems: Methodological Evidence from Studies in Nuclear Power Plant Maintenance Organizations, 2007.

G. L. Reniers, B. J. Ale, W. Dullaert, and B. Foubert, Decision support systems for major accident prevention in the chemical process industry: A developers??? survey, Journal of Loss Prevention in the Process Industries, vol.19, issue.6, pp.604-620, 2006.
DOI : 10.1016/j.jlp.2006.02.005

D. Richardson and K. L. Mcmahon, Emergency department access block occupancy predicts delay to surgery in patients with fractured neck of femur, Emergency Medicine Australasia, vol.177, issue.4, pp.304-308, 2009.
DOI : 10.1111/j.1742-6723.2009.01201.x

E. Rigaud, Resilience and safety management: ideas for innovating in industrial safety, 2011.

B. Robert, Y. Hémond, and G. Yan, L'évaluation de la résilience organisationnelle, Télescope, vol.16, pp.131-153, 2010.

S. W. Roberts, Control Chart Tests Based on Geometric Moving Averages, Technometrics, vol.1, pp.203-2010, 1959.

K. V. Rondeau and L. H. Francescutti, Emergency department overcrowding: the impact of resource scarcity on physician job satisfaction, J. Healthc. Manag. Am. Coll. Healthc. Exec, vol.50, pp.327-340, 2005.

U. Rosenthal, A. Boin, and L. K. Comfort, Managing Crises: Threats, Dilemmas, Opportunities, 2001.

M. D. Rossetti, G. F. Trzcinski, and S. A. Syverud, Emergency department simulation and determination of optimal attending physician staffing schedules, Proceedings of the 31st conference on Winter simulation Simulation---a bridge to the future, WSC '99, pp.1532-1540, 1999.
DOI : 10.1145/324898.325315

Z. Rotstein, R. Wilf-miron, B. Lavi, A. Shahar, U. Gabbay et al., The dynamics of patient visits to a public hospital ED: A statistical model, The American Journal of Emergency Medicine, vol.15, issue.6, pp.596-599, 1997.
DOI : 10.1016/S0735-6757(97)90166-2

B. Roy and D. Bouyssou, Aide multicritère à la décision : méthodes et cas, 1993.

G. C. Runger and M. C. Testik, Multivariate Extensions to Cumulative Sum Control Charts, Quality and Reliability Engineering International, vol.29, issue.6, pp.587-606, 2004.
DOI : 10.1002/qre.571

T. Ruohonen, P. Neittaanmaki, and J. Teittinen, Simulation Model for Improving the Operation of the Emergency Department of Special Health Care, Proceedings of the 2006 Winter Simulation Conference, pp.453-458, 2006.
DOI : 10.1109/WSC.2006.323115

S. Samaha, W. S. Armel, and D. W. Starks, The use of simulation to reduce the length of stay in an emergency department, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), pp.1907-1911, 2003.
DOI : 10.1109/WSC.2003.1261652

I. Shaluf, Disaster types. Disaster Prev, Manag, vol.15, pp.704-717, 2007.

W. A. Shewhart, Economic control of quality of manufactured product, 1931.

R. H. Shumway and D. Stoffer, Time series analysis and its applications With R Examples, 2011.

H. A. Simon, The New Science of Management Decision, 1977.
DOI : 10.1037/13978-000

P. C. Sprivulis, J. Da-silva, I. G. Jacobs, A. R. Frazer, and G. A. Jelinek, The association between hospital overcrowding and mortality among patients admitted via Western Australian emergency departments, Med. J. Aust, vol.184, pp.208-212, 2006.

C. L. Stork, D. J. Veltkamp, and B. R. Kowalski, Identification of Multiple Sensor Disturbances during Process Monitoring, Analytical Chemistry, vol.69, issue.24, pp.5031-5036, 1997.
DOI : 10.1021/ac9704366

P. Subbaraj and B. Kannapiran, Artificial Neural Network Approach for Fault Detection in Pneumatic Valve in Cooler Water Spray System, International Journal of Computer Applications, vol.9, issue.7, pp.43-52, 2010.
DOI : 10.5120/1395-1881

Y. Sun, B. Heng, Y. Seow, and E. Seow, Forecasting daily attendances at an emergency department to aid resource planning, BMC Emergency Medicine, vol.40, issue.Suppl, 2009.
DOI : 10.1183/09031936.03.00402203

M. Taboada, E. Cabrera, F. Epelde, M. L. Iglesias, and E. Luque, Using an Agent-based Simulation for Predicting the Effects of Patients Derivation Policies in Emergency Departments, International Conference on Computational Science, pp.641-650, 2013.
DOI : 10.1016/j.procs.2013.05.228

M. Taboada, E. Cabrera, E. Luque, F. Epelde, and M. L. Iglesias, A Decision Support System for Hospital Emergency Departments Designed Using Agent-based Techniques, WSC '12. Winter Simulation Conference, pp.3591-359, 2012.

C. Tahon and D. Trentesaux, Aide à la décision en gestion de production Organisation et gestion de production, 2001.

D. Tandberg and C. Qualls, Time Series Forecasts of Emergency Department Patient Volume, Length of Stay, and Acuity, Annals of Emergency Medicine, vol.23, issue.2, pp.299-306, 1994.
DOI : 10.1016/S0196-0644(94)70044-3

B. Tanguy, Modélisation de l'essai charpy par l'approche locale de la rupture : application au cas de l'acier 16MND5 dans le domaine de transition, 2001.

B. Tanguy, Quelle(s) modélisation(s) de l'essai charpy pour une meilleure prédiction de la courbe de résilience, 2005.

M. Tenenhaus, La régression PLS: Théorie et pratique, Editions Technip, 1998.

Y. Tharrault, Diagnostic de fonctionnement par analyse en composantes principales : application à une station de traitement des eaux usées, 2008.

Y. Tharrault, G. Mourot, and J. Ragot, Fault detection and isolation with robust principal component analysis, 16th Mediterranean Conference on Control and Automation. Presented at the 2008 16th Mediterranean Conference on Control and Automation, pp.59-64, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00347398

J. Thor, J. Lundberg, J. Ask, J. Olsson, C. Carli et al., Application of statistical process control in healthcare improvement: systematic review, Quality and Safety in Health Care, vol.16, issue.5, pp.387-399, 2007.
DOI : 10.1136/qshc.2006.022194

M. Thorwarth, A Simulation-based Decision Support System to Improve Healthcare Facilities Performance -Elaborated on an Irish Emergency Department, 2011.

M. Thorwarth, A. Arisha, and P. Harper, Simulation model to investigate flexible workload management for healthcare and servicescape environment, Proceedings of the 2009 Winter Simulation Conference (WSC), pp.1946-1956, 2009.
DOI : 10.1109/WSC.2009.5429210

K. Tierney and M. Bruneau, Conceptualizing and Measuring Resilience A Key to Disaster Loss Reduction, 2007.

D. Trachsler, La résilience : un concept pour la gestion des catastrophes et crises (No. 60) Center for Security Studies (CSS), 2009.

M. Tressol, Etude de la canicule européenne de 2003 avec les données aéroportées MOZAIC : pollution et transport (phd), 2008.

F. Vanderhaegen, Analyse et contrôle de l'erreur humaine, 2003.

K. Vatan and N. Zare, Alinekhad, 2013. Modeling and Forecasting the Cardio-Respiratory and Toxicity Events in Shiraz Emergency Medical Center Using Time Series Analysis, Switz. Res. Park J, vol.102, pp.1017-1023

V. Venkatasubramanian, R. Rengaswamy, S. N. Kavuri, and K. Yin, A review of process fault detection and diagnosis, Computers & Chemical Engineering, vol.27, issue.3, pp.327-346, 2003.
DOI : 10.1016/S0098-1354(02)00162-X

T. J. Vogus and K. M. Sutcliffe, Organizational resilience: Towards a theory and research agenda, 2007 IEEE International Conference on Systems, Man and Cybernetics, pp.3418-3422, 2007.
DOI : 10.1109/ICSMC.2007.4414160

M. Volle, La place de l'aide à la décision dans le système d'information. Rev. Modul, pp.57-69, 2005.

B. Walker, S. Carpenter, J. Anderies, N. Abel, G. Cumming et al., Resilience Management in Social-ecological Systems: a Working Hypothesis for a Participatory Approach, Conservation Ecology, vol.6, issue.1, p.14, 2002.
DOI : 10.5751/ES-00356-060114

B. Weckel, Décider face à la complexité et l'urgence, 2010.

S. J. Weiss, R. Derlet, J. Arndahl, A. A. Ernst, J. Richards et al., Estimating the Degree of Emergency Department Overcrowding in Academic Medical Centers: Results of the National ED Overcrowding Study (NEDOCS), Academic Emergency Medicine, vol.13, issue.1, pp.38-50, 2004.
DOI : 10.1197/j.aem.2003.07.017

S. J. Weiss, A. A. Ernst, and T. G. Nick, Comparison of the National Emergency Department Overcrowding Scale and the Emergency Department Work Index for Quantifying Emergency Department Crowding, Academic Emergency Medicine, vol.137, issue.5, pp.513-518, 2006.
DOI : 10.1197/aemj.9.7.710

W. W. Wei, Time series analysis: univariate and multivariate methods, p.614, 2006.
DOI : 10.1093/oxfordhb/9780199934898.013.0022

P. Wieser, Modélisation et réingénierie des systèmes hospitaliers HUG-DUMC (Urgences), in Gestion Hospitalière (stratégie, management hospitalier et gestion du changement), numéro spécial, 2005.

U. Windhorst and H. Johansson, Modern techniques in neuroscience research, 1 st, 1999.

W. H. Woodall and B. M. Adams, THE STATISTICAL DESIGN OF CUSUM CHARTS, Quality Engineering, vol.24, issue.4, pp.559-570, 1993.
DOI : 10.1080/07474948708836130

D. Woods, Essential characteristics of resilience, in: Resilience Engineering : Concepts and Precepts, pp.21-33, 2006.

J. Yamashita and J. Shigemura, The Great East Japan Earthquake, Tsunami, and Fukushima Daiichi Nuclear Power Plant Accident, Psychiatric Clinics of North America, vol.36, issue.3, pp.351-370, 2013.
DOI : 10.1016/j.psc.2013.05.004

J. Yeh and W. Lin, Using simulation technique and genetic algorithm to improve the quality care of a hospital emergency department, Expert Systems with Applications, vol.32, issue.4, pp.1073-1083, 2007.
DOI : 10.1016/j.eswa.2006.02.017

H. Yue and S. J. Qin, Reconstruction-Based Fault Identification Using a Combined Index, Industrial & Engineering Chemistry Research, vol.40, issue.20, pp.4403-4414, 2001.
DOI : 10.1021/ie000141+

R. Zemouri, Contribution à la surveillance des systèmes de production à l'aide des réseaux de neurones dynamiques : Application à la e-maintenance, 2003.

Z. Zeng, X. Ma, Y. Hu, J. Li, and D. Bryant, A Simulation Study to Improve Quality of Care in the Emergency Department of a Community Hospital, Journal of Emergency Nursing, vol.38, issue.4, pp.322-328, 2012.
DOI : 10.1016/j.jen.2011.03.005

S. Zieba, Contribution à la résilience d'un système coopérative Homme-robot par une gestion de l'autonomie ajustable, 2009.

C. W. Zobel, Representing perceived tradeoffs in defining disaster resilience, Decision Support Systems, vol.50, issue.2, pp.394-403, 2011.
DOI : 10.1016/j.dss.2010.10.001

H. Aux-systèmes, Application, p.180