F. F. Baesler and J. A. Sepulveda, Multi-objective simulation optimization for a cancer treatment center, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304), pp.1405-1411, 2001.
DOI : 10.1109/WSC.2001.977463

C. Baril, V. Gascon, J. Miller, and C. Bounhol, The importance of considering resource???s tasks when modeling healthcare services with discrete-event simulation: an approach using work sampling method, Journal of Simulation, vol.13, issue.1???3, 2016.
DOI : 10.1504/IJHTM.2012.048953

C. Baril, V. Gascon, J. Miller, and N. Cote, Use of a discrete-event simulation in a Kaizen event: A case study in healthcare, European Journal of Operational Research, vol.249, issue.1, pp.327-339, 2016.
DOI : 10.1016/j.ejor.2015.08.036

D. M. Berwick, T. W. Nolan, and J. Whittington, The Triple Aim: Care, Health, And Cost, Health Affairs, vol.27, issue.3, pp.759-769, 2008.
DOI : 10.1377/hlthaff.27.3.759

P. Bhattacharjee and P. K. Ray, Patient flow modelling and performance analysis of healthcare delivery processes in hospitals: A review and reflections, Computers & Industrial Engineering, vol.78, issue.0, pp.78-299, 2014.
DOI : 10.1016/j.cie.2014.04.016

N. Blay, J. Cairns, J. Chisholm, O. Baugh, and J. , Research into the workload and roles of oncology nurses within an outpatient oncology unit, European Journal of Oncology Nursing, vol.6, issue.1, pp.6-12, 2002.
DOI : 10.1054/ejon.2001.0163

S. Brailsford and J. Vissers, OR in healthcare: A European perspective, European Journal of Operational Research, vol.212, issue.2, pp.223-234, 2011.
DOI : 10.1016/j.ejor.2010.10.026

S. C. Brailsford, P. R. Harper, B. Patel, and M. Pitt, An analysis of the academic literature on simulation and modelling in health care, Journal of Simulation, vol.32, issue.9, pp.130-140, 2009.
DOI : 10.1057/jors.1981.161

T. Cayirli and E. Veral, OUTPATIENT SCHEDULING IN HEALTH CARE: A REVIEW OF LITERATURE, Production and Operations Management, vol.45, issue.35, pp.519-549, 2003.
DOI : 10.1111/j.1937-5956.2003.tb00218.x

J. Cazin and P. Gosselin, Implementing a multiple?isolator unit for centralized preparation of cytotoxic drugs in a cancer center pharmacy, Pharmacy World Science, vol.21, issue.4, pp.177-183, 1999.
DOI : 10.1023/A:1008731406552

A. Condotta and N. V. Shakhlevich, Scheduling patient appointments via multilevel template: A case study in chemotherapy, Operations Research for Health Care, vol.3, issue.3, pp.129-144, 2014.
DOI : 10.1016/j.orhc.2014.02.002

R. Coriat, P. Boudou-rouquette, J. Durand, P. Forgeot-d-'arc, I. Martin et al., Cost Effectiveness of Integrated Medicine in Patients With Cancer Receiving Anticancer Chemotherapy, Journal of Oncology Practice, vol.8, issue.4, pp.205-210, 2012.
DOI : 10.1200/JOP.2011.000447

R. Dobish, Next-day chemotherapy scheduling: a multidisciplinary approach to solving workload issues in a tertiary oncology center, Journal of Oncology Pharmacy Practice, vol.9, issue.1, pp.37-42, 2003.
DOI : 10.1191/1078155203jp105oa

M. Favier, E. Fliche, and F. Bressolle, Economic benefit of a centralized reconstitution unit of cytotoxic drugs in isolator, Journal of Oncology Pharmacy Practice, vol.124, issue.3, pp.182-185, 1996.
DOI : 10.1177/107815529600200308

J. Ferlay, I. Soerjomataram, R. Dikshit, S. Eser, C. Mathers et al., Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012, International Journal of Cancer, vol.13, issue.5, pp.359-386, 2015.
DOI : 10.1002/ijc.29210

R. B. Fetter and J. D. Thompson, The Simulation of Hospital Systems, Operations Research, vol.13, issue.5, pp.689-711, 1965.
DOI : 10.1287/opre.13.5.689

D. Fone, S. Hollinghurst, M. Temple, A. Round, N. Lester et al., Systematic review of the use and value of computer simulation modelling in population health and health care delivery, Journal of Public Health, vol.25, issue.4, p.25, 2003.
DOI : 10.1093/pubmed/fdg075

S. D. Fosså, M. J. Hjermstad, I. H. Mørk, and P. Hjortdahl, Does the service at a large oncologic out???patient clinic satisfy the patients??? perceived need?, International Journal of Health Care Quality Assurance, vol.9, issue.4, pp.24-29, 1996.
DOI : 10.1108/09526869610124209

E. Frei and G. P. Canellos, Dose: a critical factor in cancer chemotherapy. The American journal of medicine, pp.585-594, 1980.

S. R. Gesell and N. Gregory, Identifying Priority Actions for Improving Patient Satisfaction With Outpatient Cancer Care, Journal of Nursing Care Quality, vol.19, issue.3, pp.226-233, 2004.
DOI : 10.1097/00001786-200407000-00009

Y. Gocgun and M. Puterman, Dynamic scheduling with due dates and time windows: an application to chemotherapy patient appointment booking, Health Care Management Science, vol.223, issue.12, pp.60-76, 2014.
DOI : 10.1007/s10729-013-9253-z

S. Hahn-goldberg, M. W. Carter, J. C. Beck, M. Trudeau, P. Sousa et al., Dynamic optimization of chemotherapy outpatient scheduling with uncertainty. Health care management science, pp.379-92, 2014.

L. J. Hayes, L. O-'brien-pallas, C. Duffield, J. Shamian, J. Buchan et al., Nurse turnover: A literature review ??? An update, International Journal of Nursing Studies, vol.49, issue.7, pp.49-887, 2012.
DOI : 10.1016/j.ijnurstu.2011.10.001

L. B. Holm, F. A. Dahl, and M. Barra, Towards a multimethodology in health care ??? synergies between Soft Systems Methodology and Discrete Event Simulation, Health Systems, vol.52, issue.11, pp.11-23, 2013.
DOI : 10.1109/WSC.2009.5429327

A. Huggins and D. C. Pérez, Improving Resource Utilization in a Cancer Clinic: An Optimization Model, Proceedings of the 2014 Industrial and Systems Engineering Research Conference, 1444.

P. J. Hulshof, N. Kortbeek, R. J. Boucherie, E. W. Hans, and P. J. Bakker, Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS, Health Systems, vol.13, issue.3, pp.129-175, 2012.
DOI : 10.1057/hs.2012.18

M. Jahangirian, A. Naseer, L. Stergioulas, T. Young, T. Eldabi et al., Simulation in health-care: lessons from other sectors, Operational Research, vol.328, issue.1, pp.45-55, 2012.
DOI : 10.1007/s12351-010-0089-8

Y. Kergosien, J. Tournamille, B. Laurence, and J. Billaut, Planning and tracking chemotherapy production for cancer treatment: A performing and integrated solution, International Journal of Medical Informatics, vol.80, issue.9, pp.655-662, 2011.
DOI : 10.1016/j.ijmedinf.2011.06.002
URL : https://hal.archives-ouvertes.fr/hal-00638252

K. Kotiadis, Using soft systems methodology to determine the simulation study objectives, Journal of Simulation, vol.43, issue.2, pp.215-222, 2007.
DOI : 10.1287/opre.43.6.916

P. Larrouturou, J. Huchet, and M. C. Taugourdeau, Centralized preparation of hazardous drugs, Pharmaceutisch Weekblad Scientific Edition, vol.16, issue.6, pp.88-92, 1992.
DOI : 10.1007/BF01962692

P. K. Lau, M. J. Watson, and A. Hasani, Patients Prefer Chemotherapy on the Same Day As Their Medical Oncology Outpatient Appointment, Journal of Oncology Practice, vol.10, issue.6, pp.380-384, 2014.
DOI : 10.1200/JOP.2014.001545

B. Lehaney and R. J. Paul, The Use of Soft Systems Methodology in the Development of a Simulation of Out-patient Services at Watford General Hospital, Journal of the Operational Research Society, issue.7, pp.47-864, 1996.

W. A. Van-lent, N. Goedbloed, and W. H. Van-harten, Improving the efficiency of a chemotherapy day unit: Applying a business approach to oncology, European Journal of Cancer, vol.45, issue.5, pp.45-800, 2009.
DOI : 10.1016/j.ejca.2008.11.016

B. Liang and A. Turkcan, Acuity-based nurse assignment and patient scheduling in oncology clinics, Health Care Management Science, vol.2, issue.1, pp.1-20, 2015.
DOI : 10.1007/s10729-014-9313-z

B. Liang, A. Turkcan, M. E. Ceyhan, and K. Stuart, Improvement of chemotherapy patient flow and scheduling in an outpatient oncology clinic, International Journal of Production Research, vol.38, issue.12, pp.7177-7190, 2015.
DOI : 10.1109/WSC.2012.6464990

C. G. Lis, M. Rodeghier, and D. Gupta, Distribution and determinants of patient satisfaction in oncology: A review of the literature, Patient Preference and Adherence, issue.3, pp.287-304, 2009.

T. Lu, S. Wang, J. Li, P. Lucas, M. Anderson et al., A Simulation Study to Improve Performance in the Preparation and Delivery of Antineoplastic Medications at a Community Hospital, Journal of Medical Systems, vol.38, issue.5, pp.3083-3089, 2012.
DOI : 10.1007/s10916-011-9786-y

G. H. Lyman, Impact of Chemotherapy Dose Intensity on Cancer Patient Outcomes, Journal of the National Comprehensive Cancer Network, vol.7, issue.1, pp.99-108, 2009.

A. B. Mariotto, R. Yabroff, K. Shao, Y. Feuer, E. J. Brown et al., Projections of the Cost of Cancer Care in the United States: 2010-2020, JNCI Journal of the National Cancer Institute, vol.103, issue.2, pp.117-128, 2011.
DOI : 10.1093/jnci/djq495

F. Martin, C. Legat, J. Coutet, C. Bracco-nolin, M. Jacquet et al., Prevention of preparation errors of cytotoxic drugs in centralized units: from epidemiology to quality assurance, Bulletin Du Cancer, issue.12, pp.91-972, 2004.

I. H. Masselink, T. L. Van-der-mijden, N. Litvak, and P. T. Vanberkel, Preparation of chemotherapy drugs: Planning policy for reduced waiting times, Omega, vol.40, issue.2, pp.181-187, 2012.
DOI : 10.1016/j.omega.2011.05.003

M. Matta and S. Patterson, Evaluating multiple performance measures across several dimensions at a multi-facility outpatient center, Health Care Management Science, vol.9, issue.1, pp.173-194, 2007.
DOI : 10.1007/s10729-007-9010-2

A. Mazier, J. Billaut, and J. Tournamille, Scheduling preparation of doses for a chemotherapy service, Annals of Operations Research, vol.149, issue.2, pp.145-154, 2010.
DOI : 10.1007/s10479-009-0624-2
URL : https://hal.archives-ouvertes.fr/hal-00557260

L. Mccann, R. Maguire, M. Miller, and N. Kearney, ) to monitor and manage chemotherapy related toxicity, European Journal of Cancer Care, vol.165, issue.Suppl. 2, pp.156-164, 2009.
DOI : 10.1111/j.1365-2354.2008.00938.x

G. G. Merode, . Van, S. Groothuis, M. Schoenmakers, and H. Boersma, Simulation Studies and the Alignment of Interests, Health Care Management Science, vol.5, issue.2, pp.97-102, 2002.
DOI : 10.1023/A:1014420730473

J. Mingers, Variety is the spice of life: combining soft and hard OR/MS methods, International Transactions in Operational Research, vol.9, issue.3, pp.673-691, 2000.
DOI : 10.1111/j.1365-2648.1995.tb02517.x

K. Muthuraman and M. Lawley, A stochastic overbooking model for outpatient clinical scheduling with no-shows, IIE Transactions, vol.29, issue.9, pp.820-837, 2008.
DOI : 10.1002/(SICI)1520-6750(199908)46:5<549::AID-NAV6>3.0.CO;2-Y
URL : http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1040&context=rche_rp

T. Nguyen, A. Sivakumar, and S. Graves, A network flow approach for tactical resource planning in outpatient clinics, Health Care Management Science, vol.178, issue.1, pp.124-136, 2015.
DOI : 10.1007/s10729-014-9284-0

O. 'brien-pallas, L. Griffin, P. Shamian, J. Buchan, J. Duffield et al., The Impact of Nurse Turnover on Patient, Nurse, and System Outcomes: A Pilot Study and Focus for a Multicenter International Study, Policy, Politics, & Nursing Practice, vol.7, issue.3, pp.169-179, 2006.
DOI : 10.1177/1527154406291936

C. N. Potts and J. D. Whitehead, Heuristics for a coupled-operation scheduling problem, Journal of the Operational Research Society, vol.16, issue.10, pp.58-1375, 2007.
DOI : 10.1016/0167-6377(94)90064-7

N. C. Proudlove, S. Black, and A. Fletcher, OR and the challenge to improve the NHS: modelling for insight and improvement in in-patient flows, Journal of the Operational Research Society, vol.328, issue.2, pp.145-158, 2006.
DOI : 10.1136/bmj.328.7432.162

A. Sadki, X. Xie, and F. Chauvin, Planning oncologists of ambulatory care units, Decision Support Systems, vol.55, issue.2, pp.640-649, 2013.
DOI : 10.1016/j.dss.2012.10.020
URL : https://hal.archives-ouvertes.fr/hal-00921499

G. A. Sandoval, A. D. Brown, T. Sullivan, and E. Green, Factors that influence cancer patients' overall perceptions of the quality of care, International Journal for Quality in Health Care, vol.18, issue.4, pp.266-274, 2006.
DOI : 10.1093/intqhc/mzl014

P. Santibáñez, V. S. Chow, J. French, M. L. Puterman, and S. Tyldesley, Reducing patient wait times and improving resource utilization at British Columbia Cancer Agency???s ambulatory care unit through simulation, Health Care Management Science, vol.84, issue.2, pp.392-407, 2009.
DOI : 10.1007/s10729-009-9103-1

H. Schmoll, T. Cartwright, J. Tabernero, M. P. Nowacki, A. Figer et al., Phase III Trial of Capecitabine Plus Oxaliplatin As Adjuvant Therapy for Stage III Colon Cancer: A Planned Safety Analysis in 1,864 Patients, Journal of Clinical Oncology, vol.25, issue.1, pp.102-109, 2006.
DOI : 10.1200/JCO.2006.08.1075

F. Scotté, S. Oudard, H. Aboudagga, R. Elaidi, and B. Bonan, A practical approach to improve safety and management in chemotherapy units based on the PROCHE ??? Programme for optimisation of the chemotherapy network monitoring program, European Journal of Cancer, vol.49, issue.3, pp.541-544, 2013.
DOI : 10.1016/j.ejca.2012.08.025

J. A. Sepúlveda, W. J. Thompson, F. F. Baesler, M. I. Alvarez, I. Cahoon et al., The use of simulation for process improvement in a cancer treatment center, Proceedings of the 31st Winter simulation conference, pp.1541-1548, 1999.

S. Sevinc, U. A. Sanli, and E. Goker, Algorithms for scheduling of chemotherapy plans, Computers in Biology and Medicine, vol.43, issue.12, pp.2103-2109, 2013.
DOI : 10.1016/j.compbiomed.2013.10.012

R. D. Shapiro, Scheduling coupled tasks, Naval Research Logistics Quarterly, vol.12, issue.3, pp.489-498, 1980.
DOI : 10.1002/nav.3800270312

A. Soni, Trends in Use and Expenditures for Cancer Treatment among Adults 18 and Older, U.S. Civilian Noninstitutionalized Population, Agency for Healthcare Research and Quality, 2001.

F. K. Tangka, J. G. Trogdon, L. C. Richardson, D. Howard, S. A. Sabatino et al., Cancer treatment cost in the United States, Cancer, vol.351, issue.14, pp.116-3477, 2010.
DOI : 10.1002/cncr.25150

A. Turkcan, B. Zeng, and M. Lawley, Chemotherapy operations planning and scheduling, IIE Transactions on Healthcare Systems Engineering, vol.5, issue.9, pp.31-49, 2012.
DOI : 10.1056/NEJM199405053301801

J. Turner and P. Mccalla, and London Cancer New Drugs Group Pan London Guidelines for the Safe Prescribing, Handling and Administration of Systemic Anti Cancer Treatment Drugs, 2011.

P. T. Vanberkel, R. J. Boucherie, E. W. Hans, J. L. Hurink, and N. Litvak, A survey of health care models that encompass multiple departments, 2009.

P. T. Vanberkel, R. J. Boucherie, E. W. Hans, J. L. Hurink, N. Litvak et al., Reallocating resources to focused factories: a case study in chemotherapy, Proceedings of the 34th Meeting of the European Group on Operations Research Applied to Health Services: EURO Working Group on Operational Research Applied to Health Services, pp.152-164, 2010.

L. Vidal, E. Sahin, N. Martelli, M. Berhoune, and B. Bonan, Applying AHP to select drugs to be produced by anticipation in a chemotherapy compounding unit, Expert Systems with Applications, vol.37, issue.2, pp.1528-1534, 2010.
DOI : 10.1016/j.eswa.2009.06.067
URL : https://hal.archives-ouvertes.fr/hal-01260122

J. C. Woodall, T. Gosselin, A. Boswell, M. Murr, and B. T. Denton, Improving Patient Access to Chemotherapy Treatment at Duke Cancer Institute, Interfaces, vol.43, issue.5, pp.43-449, 2013.
DOI : 10.1287/inte.2013.0695

M. Yokouchi, S. Aoki, H. Sang, R. Zhao, and S. Takakuwa, Operations analysis and appointment scheduling for an outpatient chemotherapy department, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC), pp.1-12, 2012.
DOI : 10.1109/WSC.2012.6464990