Adıvar, B., & Mert, A. (2010). International disaster relief planning with fuzzy credibility. Fuzzy optimization and decision making, 9(4), 413-433.
Akbarpour, M., Torabi, S. A., & Ghavamifar, A. (2020). Designing an integrated pharmaceutical relief chain network under demand uncertainty. Transportation research part E: logistics and transportation review, 136, 101867.
Altay, N., & Green III, W. G. (2006). OR/MS research in disaster operations management. European journal of operational research, 175(1), 475-493.
Balcik, B., Beamon, B. M., & Smilowitz, K. (2008). Last mile distribution in humanitarian relief. Journal of intelligent transportation systems, 12(2), 51-63.
Ben-Tal, A., & Nemirovski, A. (1998). Robust convex optimization. Mathematics of operations research, 23(4), 769-805.
Boonmee, C., Arimura, M., & Asada, T. (2017). Facility location optimization model for emergency humanitarian logistics. International journal of disaster risk reduction, 24, 485-498.
Ceselli, A., Righini, G., & Tresoldi, E. (2014). Combined location and routing problems for drug distribution. Discrete applied mathematics, 165, 130-145.
Ejlali, B., Bagheri, S. F., & Ghaziyani, K. (2019). Integrated and periodic relief logistics planning for reaction phase in uncertainty condition and model solving by PSO algorithm. International journal of research in industrial engineering, 8(4), 294-311.
Ghahremani Nahr, J., Kian, R., & Sabet, E. (2019a). A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm. Expert systems with applications, 116, 454-471.
Ghahremani Nahr, J., Pasandideh, S. H. R., & Niaki, S. T. A. (2020b). A robust optimization approach for multi-objective, multi-product, multi-period, closed-loop green supply chain network designs under uncertainty and discount. Journal of industrial and production engineering, 37(1), 1-22.
Ghahremani Nahr, J., Kian, R., & Rezazadeh, H. (2018). A modified priority-based encoding for design of a closed-loop supply chain network using a discrete league championship algorithm. Mathematical problems in engineering, 115, 25-43.
Ghahremani Nahr, J., Nozari, H., & Najafi, S. E. (2020c). Design a green closed loop supply chain network by considering discount under uncertainty. Journal of applied research on industrial engineering, 7(3), 238-266.
Ghahremani Nahr, J., Ghodratnama, A., IzadBakhah, H. R., & Tavakkoli Moghaddam, R. (2019b). Design of multi-objective multi-product multi period green supply chain network with considering discount under uncertainty. Journal of industrial engineering research in production systems, 6(13), 119-137.
Ghahremani Nahr, J. (2020b). Improvement the efficiency and efficiency of the closed loop supply chain: Whale optimization algorithm and novel priority-based encoding approach. Journal of decisions and operations research, 4(4), 299-315.
Hashemi, E., Tavakoli Moghadam, R., & Bashiri, M. (2014). Proposing multi-objective mathematical model for design of multi-product forward and reverse logistics network. Journal of applied research on industrial engineering, 1(4), 208-229.
Holguín-Veras, J., Jaller, M., Aros-Vera, F., Amaya, J., Encarnación, T., & Wachtendorf, T. (2016). Disaster response logistics: Chief findings of fieldwork research. In Advances in managing humanitarian operations, 1, 33-57.
Holguín-Veras, J., Taniguchi, E., Jaller, M., Aros-Vera, F., Ferreira, F., & Thompson, R. G. (2014). The Tohoku disasters: Chief lessons concerning the post disaster humanitarian logistics response and policy implications. Transportation research part A: policy and practice, 69, 86-104.
Hyodo, M., & Hori, T. (2013). Re-examination of possible great interplate earthquake scenarios in the Nankai Trough, southwest Japan, based on recent findings and numerical simulations. Tectonophysics, 600, 175-186.
Lin, Y. H., Batta, R., Rogerson, P. A., Blatt, A., & Flanigan, M. (2011). A logistics model for emergency supply of critical items in the aftermath of a disaster. Socio-economic planning sciences, 45(4), 132-145.
Noham, R., & Tzur, M. (2018). Designing humanitarian supply chains by incorporating actual post-disaster decisions. European journal of operational research, 265(3), 1064-1077.
Overstreet, R. E., Hall, D., Hanna, J. B., & Rainer, R. K. (2011). Research in humanitarian logistics. Journal of humanitarian logistics and supply chain management, 45(4), 132-145.
Paul, B. K., Acharya, B., & Ghimire, K. (2017). Effectiveness of earthquakes relief efforts in Nepal: opinions of the survivors. Natural hazards, 85(2), 1169-1188.
Qureshi, A. G., & Taniguchi, E. (2020). A multi-period humanitarian logistics model considering limited resources and network availability. Transportation research procedia, 46, 212-219.
Qureshi, A. G., & Taniguchi, E. (2017). A multi-period relief distribution model considering limited resources and decreasing resilience of affected population. Journal of the eastern asia society for transportation studies, 12, 57-73.
Rath, S., & Gutjahr, W. J. (2014). A math-heuristic for the warehouse location–routing problem in disaster relief. Computers & operations research, 42, 25-39.
Rezaei-Malek, M., Tavakkoli-Moghaddam, R., Zahiri, B., & Bozorgi-Amiri, A. (2016). An interactive approach for designing a robust disaster relief logistics network with perishable commodities. Computers & industrial engineering, 94, 201-215.
Sabouhi, F., Bozorgi-Amiri, A., Moshref-Javadi, M., & Heydari, M. (2019). An integrated routing and scheduling model for evacuation and commodity distribution in large-scale disaster relief operations: a case study. Annals of operations research, 283(1), 643-677.
Salimi, A., Tavakoli Moghadam, R., & Bashiri, M. (2015). Designing reverse logistics network with a social approach to recycle great household waste under uncertainty conditions. Journal of applied research on industrial engineering, 2(3), 168-179.
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.
Savadkoohi, E., Mousazadeh, M., & Torabi, S. A. (2018). A possibilistic location-inventory model for multi-period perishable pharmaceutical supply chain network design. Chemical engineering research and design, 138, 490-505.
Settanni, E., Harrington, T. S., & Srai, J. S. (2017). Pharmaceutical supply chain models: A synthesis from a systems view of operations research. Operations research perspectives, 4, 74-95.
Sheu, J. B., & Pan, C. (2015). Relief supply collaboration for emergency logistics responses to large-scale disasters. Transportmetrica A: transport science, 11(3), 210-242.
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.
Van Wassenhove, L. N., & Pedraza Martinez, A. J. (2012). Using OR to adapt supply chain management best practices to humanitarian logistics. International transactions in operational research, 19(1-2), 307-322.
Wang, H., Du, L., & Ma, S. (2014). Multi-objective open location-routing model with split delivery for optimized relief distribution in post-earthquake. Transportation research part E: logistics and transportation review, 69, 160-179.
Yáñez-Sandivari, L., Cortés, C. E., & Rey, P. A. (2020). Humanitarian Logistics and Emergencies Management: New perspectives to a sociotechnical problem and its optimization approach management. International Journal of Disaster Risk Reduction,19(22), 307-322.
Zahiri, B., Jula, P., & Tavakkoli-Moghaddam, R. (2018). Design of a pharmaceutical supply chain network under uncertainty considering perishability and substitutability of products. Information sciences, 423, 257-283.
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