-Abdallah, T., Farhat, A., Diabat, A., & Kennedy, S. (2012). Green supply chains with carbon trading and environmental sourcing: Formulation and life cycle assessment. Applied Mathematical Modelling, 36(9), 4271-4285.
-Afshar, A., & Haghani, A. (2012). Modeling integrated supply chain logistics in real-time large-scale disaster relief operations. Socio-Economic Planning Sciences, 46(4), 327-338.
-Akbari-Jafarabadi, M., Tavakkoli-Moghaddam, R., Mahmoodjanloo, M., & Rahimi, Y. (2017). A tri-level r-interdiction median model for a facility location problem under imminent attack. Computers & Industrial Engineering, 114, 151-165.
-Alem, D., Clark, A., & Moreno, A. (2016). Stochastic network models for logistics planning in disaster relief. European Journal of Operational Research, 255(1), 187-206.
-Altay, N., & Green III, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175(1), 475-493.
-Apte, A. (2010). Humanitarian logistics: A new field of research and action. Foundations and trends® in technology. Information and Operations Management, 3(1), 1-100.
-Balcik, B., Beamon, B. M., & Smilowitz, K. (2008). Last mile distribution in humanitarian relief. Journal of Intelligent Transportation Systems, 12(2), 51-63.
-Barbarosoǧlu, G., & Arda, Y. (2004). A two-stage stochastic programming framework for transportation planning in disaster response. Journal of the Operational Research Society, 55(1), 43-53.
-Bartell, A. L., Lappenbusch, S., Kemp, R. B., & Haselkorn, M. (2006, October). Improving humanitarian relief information and communication systems through research. In International Professional Communication Conference, 2006 IEEE, 156-162.
-Beamon, B. M., & Kotleba, S. A. (2006). Inventory modelling for complex emergencies in humanitarian relief operations. International Journal of Logistics. Research and Applications, 9(1), 1-18.
-Bish, D. R. (2011). Planning for a bus-based evacuation. OR Spectrum, 33(3), 629-654.
-Buyanov, V. (2011). BP: Statistical Review of World Energy 2011. Economic Policy, 4, 38-55.
Büyüközkan, G., & Berkol, Ç. (2011). Designing a sustainable supply chain using an integrated analytic network process and goal programming approach in quality function deployment. Expert Systems with Applications, 38(11), 13731-13748.
-Campbell, A. M., Vandenbussche, D., & Hermann, W. (2008). Routing for relief efforts. Transportation Science, 42(2), 127-145.
-Cao, C., Li, C., Yang, Q., Liu, Y., & Qu, T. (2018). A novel multi-objective programming model of relief distribution for sustainable disaster supply chain in large-scale natural disasters. Journal of Cleaner Production, 174, 1422-1435.
-Chaabane, A., Ramudhin, A., & Paquet, M. (2012). Design of sustainable supply chains under the emission trading scheme. International Journal of Production Economics, 135(1), 37-49.
-Chang, M. S., Tseng, Y. L., & Chen, J. W. (2007). A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transportation Research Part E. Logistics and Transportation Review, 43(6), 737-754.
-Chiu, Y. C., & Zheng, H. (2007). Real-time mobilization decisions for multi-priority emergency response resources and evacuation groups: model formulation and solution. Transportation Research Part E: Logistics and Transportation Review. 43(6), 710-736.
-Costantino, N., Dotoli, M., Falagario, M., & Sciancalepore, F. (2012). Fuzzy network design of sustainable supply chains. IFAC Proceedings Volumes, 45(6), 1284-1289.
-Duran, S., Gutierrez, M. A., & Keskinocak, P. (2011). Pre-positioning of emergency items for CARE international. Interfaces, 41(3), 223-237.
-Fahimnia, B., Jabbarzadeh, A., Ghavamifar, A., & Bell, M. (2017). Supply chain design for efficient and effective blood supply in disasters. International Journal of Production Economics, 183, 700-709.
-Farahani, R., Rezapour, S., & Kardar, L. (Eds.). (2011). Logistics operations and management: concepts and models. Elsevier.
-Galindo, G., & Batta, R. (2013). Review of recent developments in OR/MS research in disaster operations management. European Journal of Operational Research, 230(2), 201-211.
-Gu, Y. (2011). Research on Optimization of Relief Supplies Distribution Aimed to Minimize Disaster Losses. JCP, 6(3), 603-609.
-Habibi-Kouchaksaraei, M., Paydar, M. M., & Asadi-Gangraj, E. (2018). Designing a bi-objective multi-echelon robust blood supply chain in a disaster. Applied Mathematical Modelling, 55, 583-599.
-Hsu, C. W., Kuo, T. C., Chen, S. H., & Hu, A. H. (2013). Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. Journal of cleaner production, 56, 164-172.
-Huang, M., Smilowitz, K., & Balcik, B. (2012). Models for relief routing: Equity, efficiency and efficacy. Transportation research part E. Logistics And Transportation Review, 48(1), 2-18.
-Kovács, G., & Spens, K. (2009). Identifying challenges in humanitarian logistics. International Journal of Physical Distribution & Logistics Management, 39(6), 506-528.
-Liu, Y., & Yu, J. (2012). Emergency evacuation planning for highly populated urban zones: a transit-based solution and optimal operational strategies. In Emergency Management. InTech.
-Longo, F. (2012). Sustainable supply chain design: an application example in local business retail. Simulation, 88(12), 1484-1498.
-Mete, H. O., & Zabinsky, Z. B. (2010). Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126(1), 76-84.
-Nagurney, A., & Nagurney, L. S. (2010). Sustainable supply chain network design: A multicriteria perspective. International Journal of Sustainable Engineering, 3(3), 189-197.
-Nagy, G., & Salhi, S. (2005). Heuristic algorithms for single and multiple depot vehicle routing problems with pickups and deliveries. European Journal of Operational Research, 162(1), 126-141.
-Najafi, M., Eshghi, K., & Dullaert, W. (2013). A multi-objective robust optimization model for logistics planning in the earthquake response phase. Transportation Research Part E: Logistics and Transportation Review, 49(1), 217-249.
-Natarajarathinam, M., Capar, I., & Narayanan, A. (2009). Managing supply chains in times of crisis: a review of literature and insights. International Journal of Physical Distribution & Logistics Management, 39(7), 535-573.
-Noham, R., & Tzur, M. (2018). Designing humanitarian supply chains by incorporating actual post-disaster decisions. European Journal of Operational Research, 265(3), 1064-1077.
-Nolz, P. C., Semet, F., & Doerner, K. F. (2011). Risk approaches for delivering disaster relief supplies. OR spectrum, 33(3), 543-569.
-Ozdamar, L., & Demir, O. (2012). A hierarchical clustering and routing procedure for large scale disaster relief logistics planning. Transportation Research Part E: Logistics and Transportation Review, 48(3), 591-602.
-Ozdamar, L., & Yi, W. (2008). Greedy neighborhood search for disaster relief and evacuation logistics. IEEE Intelligent Systems, 23(1).
-Pan, S., Ballot, E., & Fontane, F. (2013). The reduction of greenhouse gas emissions from freight transport by pooling supply chains. International Journal of Production Economics, 143(1), 86-94.
-Pettit, S. J., Beresford, A. K. C., Whiting, M., & Banomyong, R. (2011). The 2004 Thailand tsunami reviewed: lessons learned.
-Pishvaee, M. S., & Razmi, J. (2012). Environmental supply chain network design using multi-objective fuzzy mathematical programming. Applied Mathematical Modelling, 36(8), 3433-3446.
-Pishvaee, M. S., Rabbani, M., & Torabi, S. A. (2011). A robust optimization approach to closed-loop supply chain network design under uncertainty. Applied Mathematical Modelling, 35(2), 637-649.
-Pozo, C., Ruiz-Femenia, R., Caballero, J., Guillén-Gosálbez, G., & Jiménez, L. (2012). On the use of Principal Component Analysis for reducing the number of environmental objectives in multi-objective optimization: application to the design of chemical supply chains. Chemical Engineering Science, 69(1), 146-158.
-Sahebi, H., Nickel, S., & Ashayeri, J. (2014). Environmentally conscious design of upstream crude oil supply chain. Industrial & Engineering Chemistry Research, 53(28), 11501-11511.
-Samani, M. R. G., Torabi, S. A., & Hosseini-Motlagh, S. M. (2018). Integrated blood supply chain planning for disaster relief. International Journal of Disaster Risk Reduction, 27, 168-188.
-Sheffi, Y. (2005). the resilient enterprise: overcoming vulnerability for competitive advantage. MIT Press Books, 1.
-Shen, Z., Dessouky, M. M., & Ordóñez, F. (2009). A two‐stage vehicle routing model for large‐scale bioterrorism emergencies. Networks, 54(4), 255-269.
-Tavana, M., Abtahi, A. R., Di Caprio, D., Hashemi, R., & Yousefi-Zenouz, R. (2017). An integrated location-inventory-routing humanitarian supply chain network with pre-and post-disaster management considerations. Socio-Economic Planning Sciences.
-Thomas, A. (2007). Humanitarian Logistics, Enabling Disaster Response, The Fritz Institute.
-Thomas, A. S., & Kopczak, L. R. (2005). From logistics to supply chain management: the path forward in the humanitarian sector. Fritz Institute, 15, 1-15.
-Tomasini, R. M., & Van Wassenhove, L. N. (2009). From preparedness to partnerships: case study research on humanitarian logistics. International Transactions in Operational Research, 16(5), 549-559.
-Tucker, A., Morelli, R., & de Lanerolle, T. (2011, October). The humanitarian FOSS project: Goals, activities, and outcomes. In: the IEEE Global Humanitarian Technology Conference (GHTC), 2011 IEEE, 98-101.
-Tzeng, G. H., Cheng, H. J., & Huang, T. D. (2007). Multi-objective optimal planning for designing relief delivery systems. Transportation Research Part E: Logistics and Transportation Review, 43(6), 673-686.
-Vitoriano, B., Ortuño, M. T., Tirado, G., & Montero, J. (2011). A multi-criteria optimization model for humanitarian aid distribution. Journal of Global Optimization, 51(2), 189-208.
-Yi, W., & Kumar, A. (2007). Ant colony optimization for disaster relief operations. Transportation Research Part E: Logistics and Transportation Review, 43(6), 660-672.
-Yi, W., & Özdamar, L. (2007). A dynamic logistics coordination model for evacuation and support in disaster response activities. European Journal of Operational Research, 179(3), 1177-1193.
-Zhang, S., Guo, H., Zhu, K., Yu, S., & Li, J. (2017). Multistage assignment optimization for emergency rescue teams in the disaster chain. Knowledge-Based Systems, 137, 123-137.
