[1] Sawik, T. “Disruption mitigation and recovery in supply chains using portfolio approach”. Omega, 84, pp. 232-248 (2019).
[2] Ratick, S., Meacham, B., and Aoyama, Y. “Locating backup facilities to enhance supply chain disaster resilience”. Growth and Change, 39(4), pp. 642-666 (2008).
[3] Daskin, M. S. “A maximum expected covering location model: formulation, properties and heuristic solution”. Transportation science, 17(1), pp. 48-70 (1983).
[4] Hogan, K. and ReVelle, CH. “Concepts and Applications of Backup Coverage”, Management Science, 32(11), pp. 1434-1444 (1986).
[5] Pirkul, H., and Schilling, D. A. “The siting of emergency service facilities with workload capacities and backup service”. Management Science, 34(7), pp. 896- 908 (1988).
[6] Snyder, L. V., and Daskin, M. S. “Reliability models for facility location: the expected failure cost case”. Transportation Science, 39(3), pp. 400-416 (2005).
[7] Chang, M. S., Tseng, Y. L., & Chen, J. W. “A scenario planning approach for the flood emergency logistics preparation problem under uncertainty”. Transportation Research Part E: Logistics and Transportation Review, 43(6), pp. 737-754 (2007).
[8] Kim, H., & O'Kelly, M. E. “Reliable p‐hub location problems in telecommunication networks”. Geographical Analysis, 41(3), pp. 283-306 (2009).
[9] Farahani, R. Z., Asgari, N., Heidari, N., Hosseininia, M., & Goh, M. “Covering problems in facility location: A review”. Computers & Industrial Engineering, 62(1), pp. 368-407 (2012).
[10] Lia, Q. and Savachkina, A. “Reliable distribution networks design with nonlinear fortification function”, International Journal of Systems Science., Vol. 47, pp. 805-813 (2014).
[11] An, S., Cui, N., Bai, Y., Xie, W., Chen, M., & Ouyang, Y. “Reliable emergency service facility location under facility disruption, en-route congestion and in-facility queuing”. Transportation research part E: logistics and transportation review, 82, pp. 199- 216 (2015).
[12] Salman, F. S., & Yücel, E. “Emergency facility location under random network damage: Insights from the Istanbul case”. Computers & Operations Research, 62, pp. 266-281 (2015).
[13] Azizi, N., Chauhan, S., Salhi, S., and Vidyarthi, N. “The impact of hub failure in hub-and-spoke networks: Mathematical formulations and solution techniques”. Computers & Operations Research, 65, pp. 174-188 (2016).
[14] Karatas, M., Razi, N., & Tozan, H. “A comparison of p-median and maximal coverage location models with Q-coverage requirement”. Procedia Engineering, 149, pp. 169-176 (2016).
[15] Chen, A. Y., & Yu, T. Y. “Network based temporary facility location for the Emergency Medical Services considering the disaster induced demand and the transportation infrastructure in disaster response”. Transportation Research Part B: Methodological, 91, pp. 408-423 (2016).
[16] Mohamadi, A., & Yaghoubi, S. “A bi-objective stochastic model for emergency medical services network design with backup services for disasters under disruptions: an earthquake case study”. International journal of disaster risk reduction, 23, pp. 204-217 (2017).
[17] Namdar, J., Li, X., Sawhney, R., & Pradhan, N. “Supply chain resilience for single and multiple sourcing in the presence of disruption risks”. International Journal of Production Research, 56(6), pp. 2339-2360 (2018).
[18] Madani, S. R., Nookabadi, A. S., & Hejazi, S. R. “A bi-objective, reliable single allocation p-hub maximal covering location problem: Mathematical formulation and solution approach”. Journal of Air Transport Management, 68, pp. 118-136 (2018).
[19] Asadi, M., Shafia, M. A., & Yaghoubi, S. “A disaster facilities location-allocation model considering reliability under uncertainty and dynamic demand (Case Study: Earthquake disaster in Tehran)”. Modern Research in Decision Making, 3(1), pp. 1-28 (2018). (In Persian)
[20] Rahmani, D., Zandi, A., Peyghaleh, E., & Siamakmanesh, N. “A robust model for a humanitarian relief network with backup covering under disruptions: A real world application”. International journal of disaster risk reduction, 28, pp. 56-68 (2018).
[21] Torkestani, S. S., Seyedhosseini, S. M., Makui, A., & Shahanaghi, K. “The reliable design of a hierarchical multi-modes transportation hub location problems (HMMTHLP) under dynamic network disruption (DND)”. Computers & Industrial Engineering, 122, pp. 39-86 (2018).
[22] Jabbarzadeh, A., Fahimnia, B., & Sabouhi, F. “Resilient and sustainable supply chain design: sustainability analysis under disruption risks”. International Journal of Production Research, 56(17), pp. 5945-5968 (2018).
[23] Karatas, M., & Yakıcı, E. “An analysis of p-median location problem: Effects of backup service level and demand assignment policy”. European Journal of Operational Research, 272(1), pp. 207-218 (2019).
[24] Ghasemi, P., Khalili-Damghani, K., Hafezalkotob, A., & Raissi, S. “Uncertain multi-objective multi-commodity multi-period multi-vehicle location-allocation model for earthquake evacuation planning”. Applied Mathematics and Computation, 350, pp. 105-132 (2019).
[25] Yu, W., & Liu, J. “Optimization Model Based on Reachability Guarantee for Emergency Facility Location and Link Reinforcement”. Journal of Advanced Transportation, pp. 1–12 (2020). doi:10.1155/2020/4648908
[26] Yeh, C. H., & Chen, Y. R. “Location model analysis of flood relief facilities: a case study of the Fazih River floodplain, Taiwan”. Natural Hazards, 103, pp. 317-327 (2020).
[27] Asadpour, M., Boyer, O., & Tavakkoli-Moghaddam, R. “A blood supply chain network with backup facilities considering blood groups and expiration date: a real-world application”. International Journal of Engineering, 34(2), pp.470-479 (2021).
[28] http://www.ghommet.ir/