B. Cardoen, E. Demeulemeester, and J. Beliën, Operating room planning and scheduling: A literature review, European Journal of Operational Research, vol.201, issue.3, pp.921-932, 2010.
DOI : 10.1016/j.ejor.2009.04.011

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.537.971

F. Guerriero and R. Guido, Operational research in the management of the operating theatre: a survey, Health Care Management Science, vol.64, issue.4, pp.89-114, 2011.
DOI : 10.1007/s10729-010-9143-6

B. Cardoen, E. Demeulemeester, and J. Beliën, Operating room planning and scheduling problems: A classification scheme, International Journal of Health Management and Information, vol.1, issue.1, pp.71-83, 2010.

J. Van-oostrum, E. Bredenhoff, and E. Hans, Suitability and managerial implications of??a??Master??Surgical Scheduling approach, Annals of Operations Research, vol.89, issue.5, pp.91-104, 2010.
DOI : 10.1007/s10479-009-0619-z

V. Augusto, X. Xie, and V. Perdomo, Operating theatre scheduling with patient recovery in both operating rooms and recovery beds, Computers & Industrial Engineering, vol.58, issue.2, pp.231-238, 2010.
DOI : 10.1016/j.cie.2009.04.019

URL : https://hal.archives-ouvertes.fr/hal-00510507

H. Fei, N. Meskens, and C. Chu, A planning and scheduling problem for an operating theatre using an open scheduling strategy, Computers & Industrial Engineering, vol.58, issue.2, pp.221-230, 2010.
DOI : 10.1016/j.cie.2009.02.012

A. Testi, E. T-`-anfani, and G. Torre, A three-phase approach for operating theatre schedules, Health Care Management Science, vol.82, issue.1, pp.163-172, 2007.
DOI : 10.1007/s10729-007-9011-1

J. Magerlein and J. Martin, Surgical demand scheduling: A review, Health Services Research, vol.13, pp.418-433, 1978.

J. Blake and M. Carter, Surgical process scheduling: a structured review, Journal of the Society for Health Systems, vol.5, issue.3, pp.17-30, 1997.

V. Augusto, X. Xie, and V. Perdomo, Operating theatre scheduling using Lagrangian relaxation, European J. of Industrial Engineering, vol.2, issue.2, pp.172-189, 2008.
DOI : 10.1504/EJIE.2008.017350

URL : https://hal.archives-ouvertes.fr/emse-00449286

B. Cardoen, E. Demeulemeester, and J. Beliën, Sequencing surgical cases in a day-care environment: An exact branch-and-price approach, Computers & Operations Research, vol.36, issue.9, pp.2660-2669, 2009.
DOI : 10.1016/j.cor.2008.11.012

H. Fei, C. Chu, N. Meskens, and A. Artiba, Solving surgical cases assignment problem by a branch-and-price approach, International Journal of Production Economics, vol.112, issue.1, pp.96-108, 2008.
DOI : 10.1016/j.ijpe.2006.08.030

I. Marques, M. Captivo, and M. Pato, An integer programming approach to elective surgery scheduling, OR Spectrum, vol.16, issue.3, pp.407-427, 2012.
DOI : 10.1007/s00291-011-0279-7

Y. Liu, C. Chu, and K. Wang, A new heuristic algorithm for the operating room scheduling problem, Computers & Industrial Engineering, vol.61, issue.3, pp.865-871, 2011.
DOI : 10.1016/j.cie.2011.05.020

E. T. `-anfani and A. Testi, A pre-assignment heuristic algorithm for the Master Surgical Schedule Problem (MSSP), Annals of Operations Research, vol.10, issue.1, pp.105-119, 2010.
DOI : 10.1007/s10479-009-0568-6

W. Herring and J. Herrmann, The single-day surgery scheduling problem: sequential decision-making and threshold-based heuristics, OR Spectrum, vol.30, issue.2, pp.429-459, 2012.
DOI : 10.1007/s00291-011-0270-3

C. Rizk and J. Arnaout, ACO for the Surgical Cases Assignment Problem, Journal of Medical Systems, vol.70, issue.2, pp.1191-1199, 2012.
DOI : 10.1007/s10916-010-9648-z

W. Herring and J. Herrmann, Local search for the surgery admission planning problem, Journal of Heuristics, vol.17, pp.389-414, 2011.

D. Tyler, C. Pasquariello, and C. Chen, Determining Optimum Operating Room Utilization, Anesthesia & Analgesia, vol.96, issue.4, pp.1114-1121, 2003.
DOI : 10.1213/01.ANE.0000050561.41552.A6

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.128.5407

S. Choi and W. Wilhelm, An analysis of sequencing surgeries with durations that follow the lognormal, gamma, or normal distribution, IIE Transactions on Healthcare Systems Engineering, vol.2, issue.2, pp.156-171, 2012.
DOI : 10.1080/07408179008964166

B. Denton, J. Viapiano, and A. Vogl, Optimization of surgery sequencing and scheduling decisions under uncertainty, Health Care Management Science, vol.17, issue.2, pp.13-24, 2007.
DOI : 10.1007/s10729-006-9005-4

D. Min and Y. Yih, Scheduling elective surgery under uncertainty and downstream capacity constraints, European Journal of Operational Research, vol.206, issue.3, pp.642-652, 2010.
DOI : 10.1016/j.ejor.2010.03.014

J. Van-oostrum, M. Van-houdenhoven, J. Hurink, E. Hans, G. Wullink et al., A master surgical scheduling approach for cyclic scheduling in operating room departments, OR Spectrum, vol.17, issue.3, pp.30-355, 2008.
DOI : 10.1007/s00291-006-0068-x

B. Denton, J. Miller, H. Balasubramanian, and T. Huschka, Optimal Allocation of Surgery Blocks to Operating Rooms Under Uncertainty, Operations Research, vol.58, issue.4-part-1, pp.802-816, 2010.
DOI : 10.1287/opre.1090.0791

URL : https://hal.archives-ouvertes.fr/hal-00386469

E. Hans, G. Wullink, M. Van-houdenhoven, and G. Kamezier, Robust surgery loading, European Journal of Operational Research, vol.185, issue.3, pp.1038-1050, 2008.
DOI : 10.1016/j.ejor.2006.08.022

E. T. `-anfani, A. Testi, and R. Alvarez, Operating room planning considering stochastic surgery durations, International Journal of Health Management and Information, vol.1, issue.2, pp.167-183, 2010.

M. Persson and J. Persson, Analysing management policies for operating room planning using simulation, Health Care Management Science, vol.7, issue.2, pp.182-191, 2010.
DOI : 10.1007/s10729-009-9122-y

B. Sobolev, V. Sanchez, and C. Vasilakis, Systematic Review of the Use of Computer Simulation Modeling of Patient Flow in Surgical Care, Journal of Medical Systems, vol.28, issue.6, pp.1-16, 2011.
DOI : 10.1007/s10916-009-9336-z

C. Banditori, P. Cappanera, and F. Visintin, A combined optimizationsimulation approach to the master surgical scheduling problem, Journal of Management Mathematics, vol.24, pp.155-187, 2013.

M. Lamiri, X. Xie, A. Dolgui, and F. Grimaud, A stochastic model for operating room planning with elective and emergency demand for surgery, European Journal of Operational Research, vol.185, issue.3, pp.1026-1037, 2008.
DOI : 10.1016/j.ejor.2006.02.057

URL : https://hal.archives-ouvertes.fr/hal-00387682

B. Addis, G. Carello, and E. , A Robust Optimization Approach for the Operating Room Planning Problem with Uncertain Surgery Duration, International Conference on Health Care Systems Engineering, 2013.
DOI : 10.1007/978-3-319-01848-5_14

URL : https://hal.archives-ouvertes.fr/hal-00914689

D. Bertsimas and M. Sim, The Price of Robustness, Operations Research, vol.52, issue.1, pp.35-53, 2004.
DOI : 10.1287/opre.1030.0065

R. Valente, A. Testi, E. T-`-anfani, M. Fato, I. Porro et al., A model to prioritize access to elective surgery on the base of clinical urgency and waiting time, BMC Health Services ResearchAnnals of Operations Research, vol.9, issue.1

W. Hancock, P. Walter, R. More, and N. Glick, Operating room scheduling data base analysis for scheduling, Journal of Medical Systems, vol.12, issue.6, pp.397-409, 1988.
DOI : 10.1007/BF00992688

J. May, D. Strum, and L. Vargas, Fitting the Lognormal Distribution to Surgical Procedure Times, Decision Sciences, vol.24, issue.6, pp.129-148, 2000.
DOI : 10.1097/00005650-196310000-00004

D. Strum, J. May, and L. Vargas, Modeling the Uncertainty of Surgical Procedure Times, Anesthesiology, vol.92, issue.4, pp.1160-1167, 2000.
DOI : 10.1097/00000542-200004000-00035

F. Dexter and J. Ledolter, Bayesian Prediction Bounds and Comparisons of Operating Room Times Even for Procedures with Few or No Historic Data, Anesthesiology, vol.103, issue.6, pp.1259-1267, 2005.
DOI : 10.1097/00000542-200512000-00023