[1] Kazemi, S. M. M., & Taki, P. (2012). Discrete event simulation of Packed groceries logistics supply system. 2012 4th International Conference on Computer Modeling and Simulation (ICCMS 2012). HongKong, IPCSIT, 22.
[2] Farahani, R. Z., Rezapour, S., Drezner, T., & Fallah, S. (2014). Competitive supply chain network design: An overview of classifications, models, solution techniques and applications. Omega, 45(0), 92–118. http://doi.org/http://dx.doi.org/10.1016/j.omega.2013. 08.006
[3] Shapiro, J. (2006). Modeling the supply chain. Cengage Learning.
[4] Karnon, J., & Afzali, H. H. A. (2014). When to use discrete event simulation (DES) for the economic evaluation of health technologies? A review and critique of the costs and benefits of DES. Pharmacoeconomics, 32(6), 547–558.
[5] Taki, P., & Kazemi, S. M. M. (2013). A Three Echelon Supply System: A Discrete Event Simulation. In Communication Systems and Network Technologies (CSNT), 2013 International Conference on (pp. 850–852). IEEE.
[6] Pidd, M. (1998). Computer simulation in management science.
[7] Li, X., & Wang, Q. (2007). Coordination mechanisms of supply chain systems. European Journal of Operational Research, 179(1), 1–16.
[8] Fugate, B., Sahin, F., & Mentzer, J. T. (2006). Supply chain management coordination mechanisms. Journal of Business Logistics, 27(2), 129–161.
[9] Xu, L., & Beamon, B. M. (2006). Supply chain coordination and cooperation mechanisms: an attribute‐based approach. Journal of Supply Chain Management, 42(1), 4–12.
[10] Thomas, D. J., & Griffin, P. M. (1996). Coordinated supply chain management. European Journal of Operational Research, 94(1), 1–15.
[11] Chopra, S., & Meindl, P. (2007). Supply chain management. Strategy, planning & operation. In Das Summa Summarum des Management (pp. 265–275). Springer.
[12] Xu, N., & Nozick, L. (2009). Modeling supplier selection and the use of option contracts for global supply chain design. Computers & Operations Research, 36(10), 2786–2800. http://doi.org/http://dx.doi.org/10.1016/j.cor.2008.12. 013
[13] Azad, N., Saharidis, G. K. D., Davoudpour, H., Malekly, H., & Yektamaram, S. A. (2013). Strategies for protecting supply chain networks against facility and transportation disruptions: an improved Benders decomposition approach. Annals of Operations Research, 210(1), 125–163.
[14] Azad, N., Davoudpour, H., Saharidis, G. K. D., & Shiripour, M. (2014). A new model to mitigating random disruption risks of facility and transportation in supply chain network design. The International Journal of Advanced Manufacturing Technology, 70(9–12), 1757–1774.
[15] Singh, A. R., Mishra, P. K., Jain, R., & Khurana, M. K. (2012). Design of global supply chain network with operational risks. The International Journal of Advanced Manufacturing Technology, 60(1–4), 273– 290.
[16] Giri, B. C., & Bardhan, S. (2014). Coordinating a supply chain with backup supplier through buyback contract under supply disruption and uncertain demand. International Journal of Systems Science: Operations & Logistics, 1(4), 193–204.
[17] Xu, M., Wang, X., & Zhao, L. (2014). Predicted supply chain resilience based on structural evolution against random supply disruptions. International Journal of Systems Science: Operations & Logistics, 1(2), 105–117.
[18] Fang, H., & Xiao, R. (2014). Cycle quality chain early warning network with e-channel lead time disruption. International Journal of Systems Science: Operations & Logistics, 1(1), 47–67.
[19] Yu, H., Sun, C., & Chen, J. (2007). Simulating the supply disruption for the coordinated supply chain. Journal of Systems Science and Systems Engineering, 16(3), 323–335.
