How to cite this paper
Fereiduni, M., Hamzehee, M & Shahanaghi, K. (2016). A robust optimization model for logistics planning in the earthquake response phase.Decision Science Letters , 5(4), 519-534.
Refrences
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.
Aksen, D., Aras, N., & Piyade, N. (2013). A bi-level p-median model for the planning and protection of critical facilities. Journal of Heuristics, 19(2), 373-398.
Arroyo, J. M., & Galiana, F. D. (2005). On the solution of the bi-level programming formulation of the terrorist threat problem. Power Systems, IEEE Transactions on, 20(2), 789-797.
Barbarosoğlu, 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.
Barbarosoğlu, G., Özdamar, L., & Cevik, A. (2002). An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations. European Journal of Operational Research, 140(1), 118-133.
Camacho-Vallejo, J. F., González-Rodríguez, E., Almaguer, F. J., & González-Ramírez, R. G. (2015). A bi-level optimization model for aid distribution after the occurrence of a disaster. Journal of Cleaner Production, 105, 134-145.
Feng, C. M., & Wen, C. C. (2005). A bi-level programming model for allocating private and emergency vehicle flows in seismic disaster areas. Proceedings of the Eastern Asia Society for Transportation Studies, 5(5), 1408-1423.
Fiedrich, F., Gehbauer, F., & Rickers, U. (2000). Optimized resource allocation for emergency response after earthquake disasters. Safety Science, 35(1), 41-57.
Jotshi, A., Gong, Q., & Batta, R. (2009). Dispatching and routing of emergency vehicles in disaster mitigation using data fusion. Socio-Economic Planning Sciences, 43(1), 1-24.
Knott, R. (1987). The logistics of bulk relief supplies. Disasters, 11(2), 113-115.
Knott, R. P. (1988). Vehicle Scheduling for Emergency Relief Management: A Knowledge‐Based Approach. Disasters, 12(4), 285-293.
Kongsomsaksakul, S., Yang, C., & Chen, A. (2005). Shelter location-allocation model for flood evacuation planning. Journal of the Eastern Asia Society for Transportation Studies, 6, 4237-4252.
Li, A. C., Nozick, L., Xu, N., & Davidson, R. (2012). Shelter location and transportation planning under hurricane conditions. Transportation Research Part E: Logistics and Transportation Review, 48(4), 715-729.
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.
Losada, C., Scaparra, M. P., Church, R. L., & Daskin, M. S. (2012). The stochastic interdiction median problem with disruption intensity levels. Annals of Operations Research, 201(1), 345-365.
Ma, X., Song, Y., & Huang, J. (2010, May). Min-max robust optimization for the wounded transfer problem in large-scale emergencies. In Control and Decision Conference (CCDC), 2010 Chinese (pp. 901-904). IEEE.
Mulvey, J. M., Vanderbei, R. J., & Zenios, S. A. (1995). Robust optimization of large-scale systems. Operations Research, 43(2), 264-281.
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.
Nolz, P. C., Semet, F., & Doerner, K. F. (2011). Risk approaches for delivering disaster relief supplies. OR Spectrum, 33(3), 543-569.
Ozdamar, L. (2011). Planning helicopter logistics in disaster relief. OR spectrum, 33(3), 655-672.
Özdamar, 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.
Özdamar, L., Ekinci, E., & Küçükyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of Operations Research, 129(1-4), 217-245.
Sheu, J. B. (2007). An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transportation Research Part E: Logistics and Transportation Review, 43(6), 687-709.
Sheu, J. B. (2010). Dynamic relief-demand management for emergency logistics operations under large-scale disasters. Transportation Research Part E: Logistics and Transportation Review, 46(1), 1-17.
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.
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.
Zhan, S. L., & Liu, N. (2011, April). A multi-objective stochastic programming model for emergency logistics based on goal programming. In Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on (pp. 640-644). IEEE.
Aksen, D., Aras, N., & Piyade, N. (2013). A bi-level p-median model for the planning and protection of critical facilities. Journal of Heuristics, 19(2), 373-398.
Arroyo, J. M., & Galiana, F. D. (2005). On the solution of the bi-level programming formulation of the terrorist threat problem. Power Systems, IEEE Transactions on, 20(2), 789-797.
Barbarosoğlu, 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.
Barbarosoğlu, G., Özdamar, L., & Cevik, A. (2002). An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations. European Journal of Operational Research, 140(1), 118-133.
Camacho-Vallejo, J. F., González-Rodríguez, E., Almaguer, F. J., & González-Ramírez, R. G. (2015). A bi-level optimization model for aid distribution after the occurrence of a disaster. Journal of Cleaner Production, 105, 134-145.
Feng, C. M., & Wen, C. C. (2005). A bi-level programming model for allocating private and emergency vehicle flows in seismic disaster areas. Proceedings of the Eastern Asia Society for Transportation Studies, 5(5), 1408-1423.
Fiedrich, F., Gehbauer, F., & Rickers, U. (2000). Optimized resource allocation for emergency response after earthquake disasters. Safety Science, 35(1), 41-57.
Jotshi, A., Gong, Q., & Batta, R. (2009). Dispatching and routing of emergency vehicles in disaster mitigation using data fusion. Socio-Economic Planning Sciences, 43(1), 1-24.
Knott, R. (1987). The logistics of bulk relief supplies. Disasters, 11(2), 113-115.
Knott, R. P. (1988). Vehicle Scheduling for Emergency Relief Management: A Knowledge‐Based Approach. Disasters, 12(4), 285-293.
Kongsomsaksakul, S., Yang, C., & Chen, A. (2005). Shelter location-allocation model for flood evacuation planning. Journal of the Eastern Asia Society for Transportation Studies, 6, 4237-4252.
Li, A. C., Nozick, L., Xu, N., & Davidson, R. (2012). Shelter location and transportation planning under hurricane conditions. Transportation Research Part E: Logistics and Transportation Review, 48(4), 715-729.
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.
Losada, C., Scaparra, M. P., Church, R. L., & Daskin, M. S. (2012). The stochastic interdiction median problem with disruption intensity levels. Annals of Operations Research, 201(1), 345-365.
Ma, X., Song, Y., & Huang, J. (2010, May). Min-max robust optimization for the wounded transfer problem in large-scale emergencies. In Control and Decision Conference (CCDC), 2010 Chinese (pp. 901-904). IEEE.
Mulvey, J. M., Vanderbei, R. J., & Zenios, S. A. (1995). Robust optimization of large-scale systems. Operations Research, 43(2), 264-281.
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.
Nolz, P. C., Semet, F., & Doerner, K. F. (2011). Risk approaches for delivering disaster relief supplies. OR Spectrum, 33(3), 543-569.
Ozdamar, L. (2011). Planning helicopter logistics in disaster relief. OR spectrum, 33(3), 655-672.
Özdamar, 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.
Özdamar, L., Ekinci, E., & Küçükyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of Operations Research, 129(1-4), 217-245.
Sheu, J. B. (2007). An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transportation Research Part E: Logistics and Transportation Review, 43(6), 687-709.
Sheu, J. B. (2010). Dynamic relief-demand management for emergency logistics operations under large-scale disasters. Transportation Research Part E: Logistics and Transportation Review, 46(1), 1-17.
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.
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.
Zhan, S. L., & Liu, N. (2011, April). A multi-objective stochastic programming model for emergency logistics based on goal programming. In Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on (pp. 640-644). IEEE.