G. For, 5] DistC1 For relation: DistC1-FClient For DistC1 sourced product: CGMV Nc [85.5,95.8,100] [100,100,100] NA Nc [7.1,8.56,10.8] DistC2 For relation: DistC2-FClient For DistC2 sourced product: CGMV Nc

A. Srinivasan, R. Karimi, and I. A. , Lv Nc [100,100,10005] Nc Nc S1 For relation: Supplier1-GTM For Supplier1 sold product: Bd Nc Supply Chain Risk Management through HAZOP and Dynamic Simulation, S2 For relation: Supplier2-GTM For Supplier2 sold product 18th European Symposium on Computer Aided Process Engineering (ESCAPE 18), pp.37-42, 2008.

H. Alaca and C. Ceylan, Value Chain Analysis using Value Stream Mapping : White Good Industry Application, Proceedings -2011 International Conference on Industrial Engineering and Operations Management, 2011.

P. Albores, An evaluation of SCOR modelling techniques and tools, Proceedings of the Second European Conference on the Management of Technology, 2006.

F. Aqlan and E. Mustafa-ali, Integrating lean principles and fuzzy bow-tie analysis for risk assessment in chemical industry, Journal of Loss Prevention in the Process Industries, vol.29, issue.1, pp.39-48, 2014.
DOI : 10.1016/j.jlp.2014.01.006

A. Arisha and A. Mahfouz, The Analysis of Rush Orders Risk in Supply Chain: a Simulation Approach, Modism World Conference, pp.161-174, 2010.

N. Asgari, Supply chain management 1982???2015: a review, IMA Journal of Management Mathematics, vol.11, issue.3, pp.353-379, 2016.
DOI : 10.1016/j.compind.2012.05.001

T. S. Baines and D. K. Harrison, An opportunity for system dynamics in manufacturing system modelling, Production Planning & Control, vol.10, issue.6, pp.542-552, 1999.
DOI : 10.1080/095372899232830

B. M. Beamon, Supply chain design and analysis:, International Journal of Production Economics, vol.55, issue.3, pp.281-294, 1998.
DOI : 10.1016/S0925-5273(98)00079-6

P. D. Berger, A. Gerstenfeld, and A. Z. Zeng, How many suppliers are best? A decision-analysis approach, Omega, vol.32, issue.1, pp.9-15, 2004.
DOI : 10.1016/j.omega.2003.09.001

. Blackhurst, An empirically derived agenda of critical research issues for managing supply-chain disruptions, International Journal of Production Research, vol.7, issue.19, pp.4067-4081, 2005.
DOI : 10.1109/41.334574

J. V. Blackhurst, K. P. Scheibe, and D. J. Johnson, Supplier risk assessment and monitoring for the automotive industry, International Journal of Physical Distribution & Logistics Management, vol.38, issue.2, pp.143-165, 2008.
DOI : 10.1108/09600030410545445

M. F. Blos and P. E. Miyagi, Modeling the Supply Chain Disruptions: A Study based on the Supply Chain Interdependencies, IFAC-PapersOnLine, vol.48, issue.3, pp.2053-2058, 2015.
DOI : 10.1016/j.ifacol.2015.06.391

D. Bogataj and M. Bogataj, Measuring the supply chain risk and vulnerability in frequency space, International Journal of Production Economics, vol.108, issue.1-2, pp.291-301, 2007.
DOI : 10.1016/j.ijpe.2006.12.017

M. Brandenburg, Quantitative models for sustainable supply chain management: Developments and directions, European Journal of Operational Research, vol.233, issue.2, pp.299-312, 2014.
DOI : 10.1016/j.ejor.2013.09.032

G. W. Brown, Value Chains, Value Streams, Value Nets, and Value Delivery Chains, Business Process Trends, pp.1-12, 2009.

H. Bullinger and M. Kühner, Analysing supply chain performance using a balanced measurement method, ABS2015:3), pp.37-41, 2010.
DOI : 10.1007/978-3-662-12572-4_15

P. M. Byrne, Impact and ubiquity: two reasons to proactively manage risk, Logistics Management, pp.24-25, 2007.

J. Cai, Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment, Decision Support Systems, vol.46, issue.2, pp.512-521, 2009.
DOI : 10.1016/j.dss.2008.09.004

F. Campuzano and J. M. Bru, Supply chain simulation: A system dynamics approach for improving performance, 2011.
DOI : 10.1007/978-0-85729-719-8

H. Carvalho, Supply chain redesign for resilience using simulation, Computers & Industrial Engineering, vol.62, issue.1, pp.329-341, 2012.
DOI : 10.1016/j.cie.2011.10.003

F. Casella, G. Miragliotta, and L. Uglietti, Analysis of Supply Chain Dynamics through Object Oriented Simulation, Research Methodologies in Supply Chain Management, pp.461-476, 2005.
DOI : 10.1007/3-7908-1636-1_30

J. L. Cavinato, Supply chain logistics risks, International Journal of Physical Distribution & Logistics Management, vol.34, issue.5, pp.383-387, 2004.
DOI : 10.1108/09600030110394914

F. T. Chan, A simulation approach in supply chain management. Integrated Manufacturing Systems, pp.117-122, 2002.

D. C. Chatfield, J. C. Hayya, and T. P. Harrison, A multi-formalism architecture for agent-based, ordercentric supply chain simulation. Simulation Modelling Practice and Theory, pp.153-174, 2007.

F. Chen, Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information, Management Science, vol.46, issue.3, pp.436-443, 2000.
DOI : 10.1287/mnsc.46.3.436.12069

J. Chen, A. S. Sohal, and D. I. Prajogo, Supply chain operational risk mitigation: a collaborative approach, International Journal of Production Research, vol.69, issue.6, pp.1-14, 2012.
DOI : 10.1108/13598540010347307

S. Chopra and S. S. Manmohan, Managing risk to avoid supply-chain breakdown. MIT Sloan management review, pp.360-387, 2014.

S. Chopra and P. Meindl, Supply Chain Management. Strategy, Planning & Operation, Das summa summarum des management, pp.265-275, 2007.
DOI : 10.1007/978-3-8349-9320-5_22

M. Christopher and H. Lee, Mitigating supply chain risk through improved confidence, International Journal of Physical Distribution & Logistics Management, vol.34, issue.5, pp.388-396, 2004.
DOI : 10.1108/09600039810247524

URL : http://www.sclgme.org/shopcart/Documents/mitigatingsupplychainriskthroughimprovedconfidence.pdf

M. Christopher and H. Peck, Building the Resilient Supply Chain, The International Journal of Logistics Management, vol.15, issue.2, 2004.
DOI : 10.1108/09574090410700275

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.536.3962

M. Christopher and D. R. Towill, Supply chain migration from lean and functional to agile and customised. Supply Chain Management, An International Journal, vol.5, issue.4, pp.206-213, 2000.

R. Cigolini, M. Pero, and T. Rossi, An object-oriented simulation meta-model to analyse supply chain performance, International Journal of Production Research, vol.3, issue.19, pp.5917-5941, 2011.
DOI : 10.1111/j.1540-5915.2005.00066.x

A. Cimino, F. Longo, and G. Mirabelli, A General Simulation Framework for Supply Chain Modeling: State of the Art and Case Study, International Journal of Computer Science Issues, vol.7, issue.2, pp.1-9, 2010.

T. Clark, P. Sammut, and J. Willans, Applied metamodelling: a foundation for language driven development arXiv:1505., arXiv preprint, 2015.

P. Coad, E. Yourdon, and P. Coad, Object-oriented design NJ: Yourdon press, 1991.

D. Cope, Supply chain simulation modeling made easy: An innovative approach, 2007 Winter Simulation Conference, pp.1887-1896, 2007.
DOI : 10.1109/WSC.2007.4419816

H. Dai, J. Lin, and Q. Long, A fractal perspective-based methodological framework for supply chain modelling and distributed simulation with multi-agent system, International Journal of Production Research, vol.1, issue.2, pp.6819-6840, 2014.
DOI : 10.1016/j.eswa.2007.01.031

F. Davis, Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, vol.13, issue.3, pp.319-340, 1989.
DOI : 10.2307/249008

L. A. Deleris, D. Elkins, and E. Pate-cornell, Analyzing Losses From Hazard Exposure: A Conservative Probabilistic Estimate Using Supply Chain Risk Simulation, Proceedings of the 2004 Winter Simulation Conference, 2004., pp.323-330, 2004.
DOI : 10.1109/WSC.2004.1371476

J. Dong, IBM SmartSCOR - A SCOR Based Supply Chain Transformation Platform Through Simulation and Optimization Techniques, Proceedings of the 2006 Winter Simulation Conference, 2006.
DOI : 10.1109/WSC.2006.323142

S. C. Ellis, R. M. Henry, and J. Shockley, Buyer perceptions of supply disruption risk: A behavioral view and empirical assessment, Journal of Operations Management, vol.28, issue.1, pp.34-46, 2010.
DOI : 10.1016/j.jom.2009.07.002

L. M. Ellram and M. C. Cooper, Supply Chain Management: It's All About the Journey, Not the Destination, Journal of Supply Chain Management, vol.24, issue.1, pp.8-20, 2014.
DOI : 10.1016/j.jom.2005.02.001

C. I. Enyinda, A. Ogbuehi, and C. Briggs, Global Supply Chain Risks Management: a New Battleground for Gaining Competitive Advantage, Proceedings of ASBBS, vol.15, issue.1, pp.278-292, 2008.

J. M. Epstein and R. Axtell, Growing artificial societies: social science from the bottom up, 1996.

P. T. Evers and X. Wan, Systems Analysis Using Simulation, Journal of Business Logistics, vol.10, issue.1, pp.80-89, 2012.
DOI : 10.1002/j.2158-1592.2010.tb00131.x

B. Fahimnia, Quantitative models for managing supply chain risks: A review, European Journal of Operational Research, vol.247, issue.1, pp.1-15, 2015.
DOI : 10.1016/j.ejor.2015.04.034

J. W. Forrester, Industrial Dynamics???After the First Decade, Management Science, vol.14, issue.7, pp.398-415, 1968.
DOI : 10.1287/mnsc.14.7.398

B. Gaudenzi and A. Borghesi, Managing risks in the supply chain using the AHP method, The International Journal of Logistics Management, vol.17, issue.1, pp.114-136, 2006.
DOI : 10.1108/09600030410545445

Y. Ge, System dynamics modelling for supply-chain management: A case study on a supermarket chain in the UK, International Transactions in Operational Research, vol.19, issue.8, pp.495-509, 2004.
DOI : 10.1016/S0377-2217(99)00238-6

K. George, V. Nagali, and L. Rassey, Expect the unexpected : Reduce corporate exposure and create value through supply chain risk management, 2012.

A. Ghadge, A systems approach for modelling supply chain risks. Supply chain management: an international journal, pp.523-538, 2013.

M. Giannakis and M. Louis, A multi-agent based framework for supply chain risk management, Journal of Purchasing and Supply Management, vol.17, issue.1, pp.23-31, 2011.
DOI : 10.1016/j.pursup.2010.05.001

B. Guertler and S. Spinler, When does operational risk cause supply chain enterprises to tip? A simulation of intra-organizational dynamics, Omega, vol.57, pp.54-69, 2015.
DOI : 10.1016/j.omega.2015.03.005

D. C. Hall and C. Saygin, Impact of information sharing on supply chain performance, The International Journal of Advanced Manufacturing Technology, vol.39, issue.1, pp.1-4397, 2012.
DOI : 10.1111/j.1745-493X.2003.tb00146.x

J. Hallikas, Risk management processes in supplier networks, International Journal of Production Economics, vol.90, issue.1, pp.47-58, 2004.
DOI : 10.1016/j.ijpe.2004.02.007

J. Hallikas, V. M. Virolainen, and M. Tuominen, Risk analysis and assessment in network environments: A dyadic case study, International Journal of Production Economics, vol.78, issue.1, pp.45-55, 2002.
DOI : 10.1016/S0925-5273(01)00098-6

C. Harland, R. Brenchley, and H. Walker, Risk in supply networks, Journal of Purchasing and Supply Management, vol.9, issue.2, pp.51-62, 2003.
DOI : 10.1016/S1478-4092(03)00004-9

A. Hasani and A. Khosrojerdi, Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study, Transportation Research Part E: Logistics and Transportation Review, vol.87, pp.20-52, 2016.
DOI : 10.1016/j.tre.2015.12.009

S. K. Heath, Cross-paradigm simulation modeling: Challenges and successes, Proceedings of the 2011 Winter Simulation Conference (WSC), pp.2783-2797, 2011.
DOI : 10.1109/WSC.2011.6147983

URL : https://calhoun.nps.edu/bitstream/10945/38632/1/inc_249.pdf

I. Heckmann, T. Comes, and S. Nickel, A critical review on supply chain risk ??? Definition, measure and modeling, Omega, vol.52, pp.119-132, 2015.
DOI : 10.1016/j.omega.2014.10.004

K. B. Hendricks and V. R. Singhal, An Empirical Analysis of the Effect of Supply Chain Disruptions on Long-Run Stock Price Performance and Equity Risk of the Firm, Production and Operations Management, vol.13, issue.1, pp.35-52, 2005.
DOI : 10.1111/j.1937-5956.2005.tb00010.x

P. Hines and N. L. Rich, The seven value stream mapping tools, International Journal of Operations & Production Management, vol.17, issue.1, pp.46-64, 1997.
DOI : 10.1016/0925-5273(91)90099-F

H. Hishamuddin, R. A. Sarker, and D. Essam, A disruption recovery model for a single stage production-inventory system, European Journal of Operational Research, vol.222, issue.3, pp.464-473, 2012.
DOI : 10.1016/j.ejor.2012.05.033

W. Ho, Supply chain risk management: a literature review, International Journal of Production Research, vol.46, issue.16, pp.5031-5069, 2015.
DOI : 10.1111/jscm.2005.41.issue-4

G. T. Hult and C. W. Craighead, Risk Uncertainty and Supply Chain Decisions: A Real Options Perspective, Decision Sciences, vol.34, issue.5, pp.41435-459, 2010.
DOI : 10.5465/AMJ.2005.19573108

D. Ivanov, B. Sokolov, and A. Dolgui, The Ripple effect in supply chains: trade-off ???efficiency-flexibility-resilience??? in disruption management, International Journal of Production Research, vol.47, issue.1, pp.2154-2172, 2014.
DOI : 10.1007/978-0-387-79934-6

URL : https://hal.archives-ouvertes.fr/emse-00881470

M. Jahangirian, Simulation in manufacturing and business: A review, European Journal of Operational Research, vol.203, issue.1, pp.1-13, 2010.
DOI : 10.1016/j.ejor.2009.06.004

S. Jain, Development of a high-level supply chain simulation model, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304), pp.1129-1137, 2001.
DOI : 10.1109/WSC.2001.977425

B. Janamanchi and J. R. Burns, Reducing bullwhip oscillation in a supply chain: a system dynamics model-based study, International Journal of Information Systems and Change Management, vol.2, issue.4, pp.350-371, 2007.
DOI : 10.1504/IJISCM.2007.017383

U. Jüttner, Supply chain risk management, The International Journal of Logistics Management, vol.16, issue.1, pp.120-141, 2005.
DOI : 10.1111/j.1745-493X.2003.tb00156.x

U. Jüttner, H. Peck, and M. Christopher, An agenda for future research Supply chain risk management : Outlining an agenda for future research, International Journal of Logistics Research and Applications: A Leading Journal of Supply Chain Management, vol.6, issue.4, pp.37-41, 2003.

V. Kasi, Systemic Assessment of SCOR for Modeling Supply Chains, Proceedings of the 38th Annual Hawaii International Conference on System Sciences, pp.1-10, 2005.
DOI : 10.1109/HICSS.2005.574

B. Kayis and P. Dana-karningsih, SCRIS, Journal of Manufacturing Technology Management, vol.23, issue.7, pp.834-852, 2012.
DOI : 10.1108/13598540010347307

R. L. Keeney and T. L. Mcdaniels, Value-Focused Thinking about Strategic Decisions at BC Hydro, Interfaces, vol.22, issue.6, pp.94-109, 1992.
DOI : 10.1287/inte.22.6.94

W. Kersten, P. Hohrath, and M. Böger, An empirical approach to supply chain risk management: development of a strategic framework, Proceedings POMS 2007 Conference, 2007.

J. Kim and K. J. Rogers, An object???oriented approach for building a flexible supply chain model, International Journal of Physical Distribution & Logistics Management, vol.35, issue.7, pp.481-502, 2005.
DOI : 10.1108/09576059710815716

T. Kitagawa, A Description Language based on Multi Functional Modeling and a Supply Chain Simulation Toolg, IEEE, 2000.

J. J. Kleijnen, Supply chain simulation tools and techniques: a survey, International Journal of Simulation and Process Modelling, vol.1, issue.1/2, pp.82-89, 2004.
DOI : 10.1504/IJSPM.2005.007116

J. P. Kleijnen and M. T. Smits, Performance metrics in supply chain management, Journal of the Operational Research Society, vol.5, issue.5, pp.507-514, 2003.
DOI : 10.1007/978-1-4615-4949-9_27

P. R. Kleindorfer and H. S. Germaine, Managing Disruption Risks in Global Supply Chains, pp.53-68, 2013.

R. Klimov and Y. Merkuryev, Simulation model for supply chain reliability evaluation. Technological and Economic Development of Economy, pp.300-311, 2008.

O. Labarthe, Toward a methodological framework for agent-based modelling and simulation of supply chains in a mass customization context. Simulation Modelling Practice and Theory, pp.113-136, 2007.

R. R. Langroodi and M. Amiri, A system dynamics modeling approach for a multi-level, multi-product, multi-region supply chain under demand uncertainty, Expert Systems with Applications, vol.51, pp.51231-244, 2016.
DOI : 10.1016/j.eswa.2015.12.043

O. Lavastre, A. Gunasekaran, and A. Spalanzani, Supply chain risk management in French companies, Decision Support Systems, vol.52, issue.4, pp.828-838, 2012.
DOI : 10.1016/j.dss.2011.11.017

URL : https://hal.archives-ouvertes.fr/halshs-00740450

M. Leitch, ISO 31000:2009-The New International Standard on Risk Management, Risk Analysis, vol.30, issue.6, pp.887-892, 2010.
DOI : 10.1111/j.1539-6924.2010.01397.x

C. Li, Controlling the bullwhip effect in a supply chain system with constrained information flows, Applied Mathematical Modelling, vol.37, issue.4, pp.1897-1909, 2013.
DOI : 10.1016/j.apm.2012.04.020

I. Lockamy and A. , Assessing disaster risks in supply chains, Industrial Management & Data Systems, vol.114, issue.5, pp.755-777, 2014.
DOI : 10.1287/inte.1090.0477

Q. Long, Distributed supply chain network modelling and simulation: integration of agent-based distributed simulation and improved SCOR model, International Journal of Production Research, vol.19, issue.2, pp.6899-6917, 2014.
DOI : 10.1111/jbl.2011.32.issue-4

Q. Long and W. Zhang, An integrated framework for agent based inventory???production???transportation modeling and distributed simulation of supply chains, Information Sciences, vol.277, pp.567-581, 2014.
DOI : 10.1016/j.ins.2014.02.147

F. Longo and G. Mirabelli, An advanced supply chain management tool based on modeling and simulation, Computers & Industrial Engineering, vol.54, issue.3, pp.570-588, 2008.
DOI : 10.1016/j.cie.2007.09.008

J. F. Lundin, Redesigning a closed-loop supply chain exposed to risks, International Journal of Production Economics, vol.140, issue.2, pp.596-603, 2012.
DOI : 10.1016/j.ijpe.2011.01.010

M. Law, A. Kelton, and W. D. , Simulation Modelling and Analysis, 2000.

I. Manuj, Global supply chain risk management strategies, International Journal of Physical Distribution & Logistics Management, vol.38, issue.3, pp.192-223, 2008.
DOI : 10.1108/09600030410545445

URL : http://cc.sjtu.edu.cn/G2S/eWebEditor/uploadfile/20130422132430672.pdf

I. Manuj, T. L. Esper, and T. P. Stank, Supply Chain Risk Management Approaches Under Different Conditions of Risk, Journal of Business Logistics, vol.9, issue.5/6, pp.241-258, 2014.
DOI : 10.1016/j.pursup.2003.07.002

J. G. March and Z. Shapira, Managerial Perspectives on Risk and Risk Taking, Management Science, vol.33, issue.11, pp.1404-1418, 1987.
DOI : 10.1287/mnsc.33.11.1404

K. Marchese and S. Paramasivam, The Ripple Effect How manufacturing and retail executives view the growing challenge of supply chain risk, 2013.

N. Matinrad, E. Roghanian, and Z. Rasi, Supply chain network optimization: A review of classification, models, solution techniques and future research, Uncertain Supply Chain Management, vol.1, issue.1, pp.1-24, 2013.
DOI : 10.5267/j.uscm.2013.05.003

H. E. Miller and K. J. Engemann, A Monte Carlo simulation model of supply chain risk due to natural disasters, International Journal of Technology, Policy and Management, vol.8, issue.4, pp.460-480, 2008.
DOI : 10.1504/IJTPM.2008.020169

H. Min and G. Zhou, Supply chain modeling: past, present and future, Computers & Industrial Engineering, vol.43, issue.1-2, pp.231-249, 2002.
DOI : 10.1016/S0360-8352(02)00066-9

N. Minar, The Swarm Simulation System : A Toolkit for Building Multi-agent Simulations, Simulation, pp.1-11, 1996.

M. Mohammadi, M. B. Mukhtar, and H. R. Peikari, A Grammar-Based Process Modeling and Simulation Methodology for Supply Chain Management, Lecture Notes in Computer Science, vol.1, issue.4, pp.706677-86, 2011.
DOI : 10.1109/WSC.2008.4736255

D. Neiger, K. Rotaru, and L. Churilov, Supply chain risk identification with value-focused process engineering, Journal of Operations Management, vol.27, issue.2, pp.154-168, 2009.
DOI : 10.1016/j.jom.2007.11.003

A. Norrman and U. Jansson, Ericsson's proactive supply chain risk management approach after a serious sub???supplier accident, International Journal of Physical Distribution & Logistics Management, vol.34, issue.5, pp.434-456, 2004.
DOI : 10.1108/13598549910284499

J. Oehmen, System-oriented supply chain risk management. Production Planning and Control, pp.343-361, 2009.

A. Oyarbide, MANUFACTURING SYSTEMS MODELLING USING SYSTEM DYNAMICS: FORMING A DEDICATED MODELLING TOOL, Journal of Advanced Manufacturing Systems, vol.02, issue.01, pp.71-87, 2003.
DOI : 10.1007/BF01178917

M. Peng, Y. Peng, and H. Chen, Post-seismic supply chain risk management: A system dynamics disruption analysis approach for inventory and logistics planning, Computers & Operations Research, vol.42, pp.14-24, 2014.
DOI : 10.1016/j.cor.2013.03.003

F. Persson, SCOR template???A simulation based dynamic supply chain analysis tool, International Journal of Production Economics, vol.131, issue.1, pp.288-294, 2011.
DOI : 10.1016/j.ijpe.2010.09.029

F. Persson, Supply chain dynamics in the SCOR model — A simulation modeling approach, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC), pp.3821-3832, 2012.
DOI : 10.1109/WSC.2012.6465030

D. Petrovic, Simulation of supply chain behaviour and performance in an uncertain environment, International Journal of Production Economics, vol.71, issue.1-3, pp.1-3429, 2001.
DOI : 10.1016/S0925-5273(00)00140-7

H. Pfohl, P. Gallus, and D. Thomas, Interpretive structural modeling of supply chain risks, International Journal of Physical Distribution & Logistics Management, vol.41, issue.9, pp.839-859, 2013.
DOI : 10.1108/09600030410545436

F. Pirard, S. Iassinovski, and F. Riane, A generic scalable simulation model for strategic supply chain management with emphasis on production activities, International Journal of Computer Integrated Manufacturing, vol.21, issue.4, pp.455-467, 2008.
DOI : 10.1016/S0377-2217(97)80080-X

URL : https://hal.archives-ouvertes.fr/hal-00794141

F. Pirard, S. Iassinovski, and F. Riane, A simulation based approach for supply network control, International Journal of Production Research, vol.49, issue.24, pp.7205-7226, 2011.
DOI : 10.1016/S0377-2217(97)80080-X

G. Pundoor and J. Herrmann, A hierarchical approach to supply chain simulation modelling using the Supply Chain Operations Reference model, International Journal of Simulation and Process Modelling, vol.2, issue.3/4, pp.3-4124, 2006.
DOI : 10.1504/IJSPM.2006.012641

S. Robinson, Simulation: The Practice of Model Development and Use, 2004.
DOI : 10.1007/978-1-137-32803-8

M. Saleh, A comprehensive analytical approach for policy analysis of system dynamics models, European Journal of Operational Research, vol.203, issue.3, pp.673-683, 2010.
DOI : 10.1016/j.ejor.2009.09.016

D. Saleh-ebrahimi, P. David, and G. Alpan, A Model Based Specification For A decision Support Tool For Supply Chain Risk Management, CIE42 Proceedings. Cape Town, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00733701

T. Sawik, On the fair optimization of cost and customer service level in a supply chain under disruption risks, Omega, vol.53, pp.58-66, 2015.
DOI : 10.1016/j.omega.2014.12.004

A. W. Scheer and M. Nüttgens, ARIS Architecture and Reference Models for Business Process Management, Business Process Management, pp.301-304, 2000.
DOI : 10.1007/978-3-642-58663-7_38

A. J. Schmitt and M. Singh, A quantitative analysis of disruption risk in a multi-echelon supply chain, International Journal of Production Economics, vol.139, issue.1, pp.22-32, 2012.
DOI : 10.1016/j.ijpe.2012.01.004

A. J. Schmitt and M. Singh, Quantifying supply chain disruption risk using Monte Carlo and discrete-event simulation, Proceedings of the 2009 Winter Simulation Conference (WSC), pp.1237-1248, 2009.
DOI : 10.1109/WSC.2009.5429561

M. Seck, G. Rabadi, and C. Koestler, A Simulation-based Approach to Risk Assessment and Mitigation in Supply Chain Networks, Procedia Computer Science, vol.61, pp.6198-104, 2015.
DOI : 10.1016/j.procs.2015.09.161

A. F. Seila, Spreadsheet Simulation, pp.41-48, 2004.
DOI : 10.1109/wsc.2002.1172863

M. A. Sellitto, A SCOR-based model for supply chain performance measurement: application in the footwear industry, International Journal of Production Research, vol.21, issue.1, pp.4917-4926, 2015.
DOI : 10.1016/j.ijpe.2009.06.026

S. Seuring, A review of modeling approaches for sustainable supply chain management, Decision Support Systems, vol.54, issue.4, pp.1513-1520, 2013.
DOI : 10.1016/j.dss.2012.05.053

S. M. Shafer and T. L. Smunt, Empirical simulation studies in operations management: context, trends, and research opportunities, Journal of Operations Management, vol.22, issue.4, pp.345-354, 2004.
DOI : 10.1016/j.jom.2004.05.002

X. F. Shao, Demand-side reactive strategies for supply disruptions in a multiple-product system, International Journal of Production Economics, vol.136, issue.1, pp.241-252, 2012.
DOI : 10.1016/j.ijpe.2011.11.024

Y. Sheffi, R. Jr, and J. B. , A Supply Chain View of the Resilient Enterprise, MIT Sloan Management Review, vol.47, issue.1, pp.41-48, 2005.

D. Simchi-levi, Identifying Risks and Mitigating Disruptions in the Automotive Supply Chain, Interfaces, vol.45, issue.5, pp.375-390, 2015.
DOI : 10.1287/inte.2015.0804

S. Levi, D. Vassiladis, C. Kyratzoglou, and I. , Making the right risk decisions to strengthen operations performance, PwC and the MIT Forum for Supply Chain Innovation, 2013.

L. Snyder, OR/MS models for supply chain disruptions: a review, A Review IIE Transactions, p.8830, 2016.

T. Sprock and L. F. Mcginnis, Towards automated access to supply chain analyses, Proceedings of the 2014 POMS Annual Conference, 2014.

P. Steele, H. Brian, and . Court, Profitable purchasing strategies: a manager's guide for improving organizational competitiveness through the skills of purchasing, 1996.

J. D. Sterman, Business Dynamics: Systems Thinking and Modeling for a Complex World, 2000.

S. Sumari and R. Ibrahim, Comparing Three Simulation Model Using Taxonomy: System Dynamic Simulation, Discrete Event Simulation and Agent Based Simulation, International Journal of Management Excellence, vol.1, issue.3, pp.4-9, 2013.
DOI : 10.17722/ijme.v1i3.9

A. A. Tako and S. Robinson, The application of discrete event simulation and system dynamics in the logistics and supply chain context. Decision Support Systems, pp.802-815, 2012.

S. Talluri and . Sri, Assessing the Efficiency of Risk Mitigation Strategies in Supply Chains, Journal of Business Logistics, vol.43, issue.4, pp.253-269, 2013.
DOI : 10.1016/j.tre.2005.09.008

C. S. Tang, Perspectives in supply chain risk management, International Journal of Production Economics, vol.103, issue.2, pp.451-488, 2006.
DOI : 10.1016/j.ijpe.2005.12.006

O. Tang and S. Nurmaya-musa, Identifying risk issues and research advancements in supply chain risk management, International Journal of Production Economics, vol.133, issue.1, pp.25-34, 2011.
DOI : 10.1016/j.ijpe.2010.06.013

S. Terzi and S. Cavalieri, Simulation in the supply chain context: a survey, Computers in Industry, vol.53, issue.1, pp.3-16, 2004.
DOI : 10.1016/S0166-3615(03)00104-0

J. Thun and D. Hoenig, An empirical analysis of supply chain risk management in the German automotive industry, International Journal of Production Economics, vol.131, issue.1, pp.242-249, 2011.
DOI : 10.1016/j.ijpe.2009.10.010

B. Tomlin, On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks, Management Science, vol.52, issue.5, pp.639-657, 2006.
DOI : 10.1287/mnsc.1060.0515

P. Trkman and K. Mccormack, Supply chain risk in turbulent environments???A conceptual model for managing supply chain network risk, International Journal of Production Economics, vol.119, issue.2, pp.247-258, 2009.
DOI : 10.1016/j.ijpe.2009.03.002

G. Tuncel and G. Alpan, Risk assessment and management for supply chain networks: A case study, Computers in Industry, vol.61, issue.3, pp.250-259, 2010.
DOI : 10.1016/j.compind.2009.09.008

URL : https://hal.archives-ouvertes.fr/hal-00454432

U. S. Project, De-Risking the Supply Chain : Cisco ' s Risk Intelligence and Analytic Tools, pp.1-6, 2011.

M. Udenio, J. C. Fransoo, and R. Peels, Destocking, the bullwhip effect, and the credit crisis: Empirical modeling of supply chain dynamics, International Journal of Production Economics, vol.160, pp.34-46, 2015.
DOI : 10.1016/j.ijpe.2014.09.008

S. Umeda, F. T. Zhang, and . Koch, Hybrid Modeling Approach for Supply-Chain Simulation, Lean Business Systems and Beyond, p.8, 2008.
DOI : 10.1007/978-0-387-77249-3_47

J. P. Vilko and J. M. Hallikas, Risk assessment in multimodal supply chains, International Journal of Production Economics, vol.140, issue.2, pp.586-595, 2012.
DOI : 10.1016/j.ijpe.2011.09.010

S. M. Wagner and C. Bode, An empirical investigation into supply chain vulnerability, Journal of Purchasing and Supply Management, vol.12, issue.6, pp.301-312, 2006.
DOI : 10.1016/j.pursup.2007.01.004

URL : http://www.scm.ethz.ch/publications/Academic_publications/Wagner_Bode_2006_An_empirical_investigation_into_supply_chain_vulnerability/

X. Wan, J. F. Pekny, and G. V. Reklaitis, Simulation-based optimization with surrogate models???Application to supply chain management, Computers & Chemical Engineering, vol.29, issue.6, pp.1317-1328, 2005.
DOI : 10.1016/j.compchemeng.2005.02.018

D. D. Wu and D. Olson, Enterprise risk management: a DEA VaR approach in vendor selection, International Journal of Production Research, vol.60, issue.16, pp.4919-4932, 2010.
DOI : 10.1080/00207540601039775

T. Wu, Supply Chain Risk Management: An Agent-Based Simulation to Study the Impact of Retail Stockouts, IEEE Transactions on Engineering Management, vol.60, issue.4, pp.676-686, 2013.
DOI : 10.1109/TEM.2012.2190986

T. Wu, J. Blackhurst, and V. Chidambaram, A model for inbound supply risk analysis, Computers in Industry, vol.57, issue.4, pp.350-365, 2006.
DOI : 10.1016/j.compind.2005.11.001

D. Van-der-zee and J. G. Van-der-vorst, A Modeling Framework for Supply Chain Simulation : Opportunities for Improved Decision Making * . Decision Sciences, pp.65-95, 2005.

K. Zhang, Pre-warning analysis and application in traceability systems for food production supply chains, Expert Systems with Applications, vol.38, issue.3, pp.2500-2507, 2011.
DOI : 10.1016/j.eswa.2010.08.039

G. A. Zsidisin, A grounded definition of supply risk, Journal of Purchasing and Supply Management, vol.9, issue.5-6, pp.217-224, 2003.
DOI : 10.1016/j.pursup.2003.07.002

G. Zsidisin, Supply risk perceptions and practices: an exploratory comparison of German and US supply management professionals, International Journal of Technology, Policy and Management, vol.8, issue.4, p.401, 2008.
DOI : 10.1504/IJTPM.2008.020166