How to cite this paper
Padasht, S & Razmi, J. (2016). A location-routing model on relief distribution centers.Uncertain Supply Chain Management, 4(4), 269-276.
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.
Akkihal, A. R. (2006). Inventory pre-positioning for humanitarian operations(Doctoral dissertation, Massachusetts Institute of Technology).
Arabani, A. B., & Farahani, R. Z. (2012). Facility location dynamics: An overview of classifications and applications. Computers & Industrial Engineering, 62(1), 408-420.
Aslanzadeh, M., Rostami, E. A., & Kardar, L. (2009). Logistics management and SCM in disasters. In Supply Chain and Logistics in National, International and Governmental Environment (pp. 221-252). Physica-Verlag HD.
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.
Caunhye, A. M., Nie, X., & Pokharel, S. (2012). Optimization models in emergency logistics: A literature review. Socio-economic planning sciences,46(1), 4-13.
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.
Doerner, K. F., & Hartl, R. F. (2008). Health care logistics, emergency preparedness, and disaster relief: new challenges for routing problems with a focus on the Austrian situation. In The vehicle routing problem: latest advances and new challenges (pp. 527-550). Springer US.
Döyen, A., Aras, N., & Barbarosoğlu, G. (2012). A two-echelon stochastic facility location model for humanitarian relief logistics. Optimization Letters,6(6), 1123-1145.
Ergun, O., Karakus, G., Keskinocak, P., Swann, J., & Villarreal, M. (2010). Operations research to improve disaster supply chain management. Wiley Encyclopedia of Operations Research and Management Science.
Farahani, R. Z., Asgari, N., Heidari, N., Hosseininia, M., & Goh, M. (2012). Covering problems in facility location: A review. Computers & Industrial Engineering, 62(1), 368-407.
Fuhrmann, S., MacEachren, A., & Cai, G. (2008). Geoinformation technologies to support collaborative emergency management. In Digital Government (pp. 395-420). Springer US.
Ishii, H., & Lee, Y. L. (2013). Mathematical ranking method for emergency facility location problem with block-wisely different accident occurrence probabilities. Procedia Computer Science, 22, 1065-1072.
Kovács, G., & Spens, K. M. (2007). Humanitarian logistics in disaster relief operations. International Journal of Physical Distribution & Logistics Management, 37(2), 99-114.
Kovács, G., & Spens, K. (2009). Identifying challenges in humanitarian logistics. International Journal of Physical Distribution & Logistics Management, 39(6), 506-528.
Luis, E., Dolinskaya, I. S., & Smilowitz, K. R. (2012). Disaster relief routing: Integrating research and practice. Socio-economic planning sciences, 46(1), 88-97.
Noyan, N. (2012). Risk-averse two-stage stochastic programming with an application to disaster management. Computers & Operations Research,39(3), 541-559.
Ozguven, E. E., & Ozbay, K. (2013). A secure and efficient inventory management system for disasters. Transportation Research Part C: Emerging Technologies, 29, 171-196.
Şahin, G., & Süral, H. (2007). A review of hierarchical facility location models. Computers & Operations Research, 34(8), 2310-2331.
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.
Toregas, C., Swain, R., ReVelle, C., & Bergman, L. (1971). The location of emergency service facilities. Operations Research, 19(6), 1363-1373.
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.
Wang, J., Yang, H., & Zhu, J. (2012). A two-stage stochastic programming model for emergency resources storage region division. Systems Engineering Procedia, 5, 125-130.
Zhang, J., Dong, M., & Chen, F. F. (2013). A bottleneck Steiner tree based multi-objective location model and intelligent optimization of emergency logistics systems. Robotics and Computer-Integrated Manufacturing, 29(3), 48-55.
Akkihal, A. R. (2006). Inventory pre-positioning for humanitarian operations(Doctoral dissertation, Massachusetts Institute of Technology).
Arabani, A. B., & Farahani, R. Z. (2012). Facility location dynamics: An overview of classifications and applications. Computers & Industrial Engineering, 62(1), 408-420.
Aslanzadeh, M., Rostami, E. A., & Kardar, L. (2009). Logistics management and SCM in disasters. In Supply Chain and Logistics in National, International and Governmental Environment (pp. 221-252). Physica-Verlag HD.
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.
Caunhye, A. M., Nie, X., & Pokharel, S. (2012). Optimization models in emergency logistics: A literature review. Socio-economic planning sciences,46(1), 4-13.
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.
Doerner, K. F., & Hartl, R. F. (2008). Health care logistics, emergency preparedness, and disaster relief: new challenges for routing problems with a focus on the Austrian situation. In The vehicle routing problem: latest advances and new challenges (pp. 527-550). Springer US.
Döyen, A., Aras, N., & Barbarosoğlu, G. (2012). A two-echelon stochastic facility location model for humanitarian relief logistics. Optimization Letters,6(6), 1123-1145.
Ergun, O., Karakus, G., Keskinocak, P., Swann, J., & Villarreal, M. (2010). Operations research to improve disaster supply chain management. Wiley Encyclopedia of Operations Research and Management Science.
Farahani, R. Z., Asgari, N., Heidari, N., Hosseininia, M., & Goh, M. (2012). Covering problems in facility location: A review. Computers & Industrial Engineering, 62(1), 368-407.
Fuhrmann, S., MacEachren, A., & Cai, G. (2008). Geoinformation technologies to support collaborative emergency management. In Digital Government (pp. 395-420). Springer US.
Ishii, H., & Lee, Y. L. (2013). Mathematical ranking method for emergency facility location problem with block-wisely different accident occurrence probabilities. Procedia Computer Science, 22, 1065-1072.
Kovács, G., & Spens, K. M. (2007). Humanitarian logistics in disaster relief operations. International Journal of Physical Distribution & Logistics Management, 37(2), 99-114.
Kovács, G., & Spens, K. (2009). Identifying challenges in humanitarian logistics. International Journal of Physical Distribution & Logistics Management, 39(6), 506-528.
Luis, E., Dolinskaya, I. S., & Smilowitz, K. R. (2012). Disaster relief routing: Integrating research and practice. Socio-economic planning sciences, 46(1), 88-97.
Noyan, N. (2012). Risk-averse two-stage stochastic programming with an application to disaster management. Computers & Operations Research,39(3), 541-559.
Ozguven, E. E., & Ozbay, K. (2013). A secure and efficient inventory management system for disasters. Transportation Research Part C: Emerging Technologies, 29, 171-196.
Şahin, G., & Süral, H. (2007). A review of hierarchical facility location models. Computers & Operations Research, 34(8), 2310-2331.
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.
Toregas, C., Swain, R., ReVelle, C., & Bergman, L. (1971). The location of emergency service facilities. Operations Research, 19(6), 1363-1373.
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.
Wang, J., Yang, H., & Zhu, J. (2012). A two-stage stochastic programming model for emergency resources storage region division. Systems Engineering Procedia, 5, 125-130.
Zhang, J., Dong, M., & Chen, F. F. (2013). A bottleneck Steiner tree based multi-objective location model and intelligent optimization of emergency logistics systems. Robotics and Computer-Integrated Manufacturing, 29(3), 48-55.