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

R. Bekker and P. M. Koeleman, Scheduling admissions and reducing variability in bed demand, Health Care Management Science, vol.14, pp.237-249, 2011.

J. Beliën and E. Demeulemeester, Building cyclic master surgery schedules with leveled resulting bed occupancy, European Journal of Operational Research, vol.176, pp.1185-1204, 2007.

J. C. Brandenburg, Detection Statistics Of Multiple-Pulse Optical Signals Through Atmospheric Turbulence, 2010.

B. Cardoen, E. Demeulemeester, and J. Beliën, Operating room planning and scheduling: A literature review, European Journal of Operational Research, vol.201, pp.921-932, 2010.

M. W. Carter and S. Ketabi, Bed balancing in surgical wards via block scheduling, Journal of Minimally Invasive Surgical Sciences, vol.2, pp.129-137, 2013.

B. Denton, J. Viapiano, and A. Vogl, Optimization of surgery sequencing and scheduling decisions under uncertainty, Health Care Management Science, vol.10, pp.13-24, 2007.

B. T. Denton, A. J. Miller, H. J. Balasubramanian, and T. R. Huschka, Optimal allocation of surgery blocks to operating rooms under uncertainty, Operations Research, vol.58, pp.802-816, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00386469

M. P. Dávila, A Methodology for Scheduling Operating Rooms Under Uncertainty, 2013.

M. Faddy, N. Graves, and A. Pettitt, Modeling length of stay in hospital and other right skewed data: Comparison of phase-type, gamma and log-normal distributions, Value in Health, vol.12, pp.309-314, 2009.

L. Fenton, The sum of lognormal probability distributions in scatter transmission systems, IRE Transactions on Communications Systems, vol.8, pp.57-67, 1960.

A. Fügener, E. W. Hans, R. Kolisch, N. Kortbeek, and P. T. Vanberkel, Master surgery scheduling with consideration of multiple downstream units, European Journal of Operational Research, vol.239, pp.227-236, 2014.

S. Gur and T. Eren, Application of operational research techniques in operating room scheduling problems: Literature overview, Journal of Healthcare Engineering, 2018.

E. Hans, G. Wullink, M. Van-houdenhoven, and G. Kazemier, Robust surgery loading, European Journal of Operational Research, vol.185, pp.1038-1050, 2008.

F. Hooshmand, S. Mirhassani, and A. Akhavein, Adapting ga to solve a novel model for operating room scheduling problem with endogenous uncertainty, Operations Research for Health Care, vol.19, pp.26-43, 2018.

A. Jebali and A. Diabat, A chance-constrained operating room planning with elective and emergency cases under downstream capacity constraints, Computers and Industrial Engineering, vol.114, pp.329-344, 2017.

E. Kayis, T. T. Khaniyev, J. Suermondt, and K. Sylvester, A robust estimation model for surgery durations with temporal, operational, and surgery team effects, Health Care Management Science, vol.18, pp.222-233, 2015.

L. R. Kroer, K. Foverskov, C. Vilhelmsen, A. S. Hansen, and J. Larsen, Planning and scheduling operating rooms for elective and emergency surgeries with uncertain duration, Operations Research for Health Care, vol.19, pp.107-119, 2018.

A. Marazzi, F. Paccaud, C. Ruffieux, and C. Beguin, Fitting the distributions of length of stay by parametric models, Medical Care, vol.36, pp.915-927, 1998.

N. Mehta and A. Molish, Approximating a sum of random variables with a lognormal, IEEE Transactions on Wireless Communications, vol.6, pp.2690-2699, 2007.

D. Min and Y. Yih, Scheduling elective surgery under uncertainty and downstream capacity constraints, European Journal of Operational Research, vol.206, pp.642-652, 2010.

J. M. Molina-pariente, E. W. Hans, and J. M. Framinan, A stochastic approach for solving the operating room scheduling problem, Flexible Services and Manufacturing Journal, vol.30, pp.224-251, 2018.

S. Neyshabouri and B. P. Berg, Two-stage robust optimization approach to elective surgery and downstream capacity planning, European Journal of Operational Research, vol.260, pp.21-40, 2017.

H. Saadouli, B. Jerbi, A. Dammak, L. Masmoudi, and A. Bouaziz, A stochastic optimization and simulation approach for scheduling operating rooms and recovery beds in an orthopedic surgery department, Computers and Industrial Engineering, vol.80, pp.72-79, 2015.

A. Schneider, J. Van-essen, M. Carlier, and E. Hans, Scheduling surgery groups considering multiple downstream resources, European Journal of Operational Research, vol.282, pp.741-752, 2020.

W. Spangler, D. Strum, L. Vargas, and J. May, Estimating procedure times for surgeries by determining location parameters for the lognormal model, Health Care Management Science, vol.7, pp.97-104, 2004.

P. Stepaniak, C. Heij, G. Mannaerts, M. De-quelerij, and G. De-vries, Modeling procedure and surgical times for current procedural terminology-anesthesia-surgeon combinations and evaluation in terms of case-duration prediction and operating room efficiency: a multicenter study, Anesthesia and Analgesia, vol.109, pp.1232-1245, 2009.

D. Strum, J. May, and L. Vargas, Modeling the uncertainty of surgical procedure times: comparison of log-normal and normal models, Anesthesiology, vol.92, pp.1160-1167, 2000.

J. T. Van-essen, J. M. Bosch, E. W. Hans, M. Van-houdenhoven, and J. L. Hurink, Reducing the number of required beds by rearranging the or-schedule, OR Spectrum, vol.36, pp.585-605, 2014.

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.30, pp.355-374, 2008.

P. T. Vanberkel, R. J. Boucherie, E. W. Hans, J. L. Hurink, W. A. Van-lent et al., An exact approach for relating recovering surgical patient workload to the master surgical schedule, Journal of the Operational Research Society, vol.62, pp.1851-1860, 2011.

W. Xiang, A multi-objective aco for operating room scheduling optimization, Natural Computing, vol.16, pp.607-617, 2017.

B. Zhang, P. Murali, M. Dessouky, and D. Belson, A mixed integer programming approach for allocating operating room capacity, Journal of Operational Research Society, vol.60, pp.663-673, 2009.

S. Zhu, W. Fan, S. Yang, J. Pei, and P. M. Pardalos, Operating room planning and surgical case scheduling: a review of literature, Journal of Combinatorial Optimization, vol.37, pp.757-805, 2019.