• Alexander, D. (2006). Globalization of disaster: Trends, problems and dilemmas.Journal of International Affairs-Columbia University,59(2), 1.

  Google Scholar 

• Athanassopoulos, A. D. (2013). Decision support for target-based resource allocation for public services in multiunit and multilevel systems.Management Science,44(2), 173–187.

  Article  Google Scholar 

• Balcik, B., & Beamon, B. M. (2008). Facility location in humanitarian relief.International Journal of Logistics: Research and Applications,11(2), 101–121.

  Article  Google Scholar 

• 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.

  Article  Google Scholar 

• Beresford, A., & Pettit, S. (2010).Humanitarian aid logistics: The Wenchuan and Haiti earthquakes compared. Relief Supply Chain Management for Disasters: Humanitarian, Aid and Emergency Logistics.

  Google Scholar 

• Charles, A. (2010). Improving the design and management of agile supply chains: Feedback and application in the context of humanitarian aid. PhD thesis, Toulouse University-Mines Albi.

• Charles, A., & Lauras, M. (2011). An enterprise modelling approach for better optimisation modelling: Application to the humanitarian relief chain coordination problem.OR Spectrum,33(3), 815–841.

  Article  Google Scholar 

• Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units.European Journal of Operational Research,2(6), 429–444.

  Article  Google Scholar 

• Clay Whybark, D. (2007). Issues in managing disaster relief inventories.International Journal of Production Economics,108(1), 228–235.

  Article  Google Scholar 

• Consuelos Salas, L., Robles Cárdenas, M., & Zhang, M. (2012). Inventory policies for humanitarian aid during hurricanes.Socio-Economic Planning Sciences,46(4), 272–280.

  Article  Google Scholar 

• Doerner, K. F., Gutjahr, W. J., & Nolz, P. C. (2009). Multi-criteria location planning for public facilities in tsunami-prone coastal areas.OR Spectrum,31(3), 651–678.

  Article  Google Scholar 

• Döyen, A., Aras, N., & Barbarosoğlu, G. (2012). A two-echelon stochastic facility location model for humanitarian relief logistics.Optimization Letters,6(6), 1123–1145.

  Article  Google Scholar 

• Duran, S. D., Gutierrez, M. A., & Keskinocak, P. (2011). Pre-positioning of emergency items for CARE international.Interfaces,41(3), 223–237.

  Article  Google Scholar 

• Fiedrich, F. (2006). An HLA-based multiagent system for optimized resource allocation after strong earthquakes. InProceedings of the 2006 Winter Simulation Conference.

• Fiedrich, F., Gehbauer, F., & Rickers, U. (2000). Optimized resource allocation for emergency response after earthquake disasters.Safety Science,35, 41–57.

  Article  Google Scholar 

• Fiorucci, P., Gaetani, F., Minciardi, R., Sacile, R., & Trasforini, E. (2004). Real time optimal resource allocation in natural hazard management. InProceedings of IEMSS, p. 14.

• Gebbie, K. M., & Qureshi, K. (2002). Emergency and disaster preparedness: Core competencies for nurses: What every nurse should but may not know.AJN The American Journal of Nursing,102(1), 46–51.

  Article  Google Scholar 

• Ge, Y., Gu, Y., & Deng, W. (2010). Evaluating China’s national post-disaster plans: The 2008 Wenchuan earthquake’s recovery and reconstruction planning.International Journal of Disaster Risk Science,1(2), 17–27.

  Google Scholar 

• Hale, T., & Moberg, C. R. (2005). Improving supply chain disaster preparedness: A decision process for secure site location.International Journal of Physical Distribution and Logistics Management,35(3), 195–207.

  Article  Google Scholar 

• Huang, R., Kim, S., & Menezes, M. B. (2010). Facility location for large-scale emergencies.Annals of Operations Research,181(1), 271–286.

  Article  Google Scholar 

• Ibegbunam, I., & McGill, D. (2012). Health commodities management system: Priorities and challenges.Journal of Humanitarian Logistics and Supply Chain Management,2(2), 161–182.

  Article  Google Scholar 

• Jahre, M., Dumoulin, L., Greenhalgh, L. B., Hudspeth, C., Limlim, P., & Spindler, A. (2012). Improving health in developing countries: Reducing complexity of drug supply chains.Journal of Humanitarian Logistics and Supply Chain Management,2(1), 54–84.

  Article  Google Scholar 

• Jin, S., Jeong, S., Kim, J., & Kim, K. (2014). A logistics model for the transport of disaster victims with various injuries and survival probabilities.Annals of Operations Research. doi:10.1007/s10479-013-1515-0.

• Katoch, A. (2006). The responders’ cauldron: The uniqueness of international disaster response.Journal of International Affairs,59(2), 153–172.

  Google Scholar 

• Korhonen, P., & Syrjanen, M. (2013). Resource allocation based on efficiency analysis.Management Science,50(8), 1134–1144.

  Article  Google Scholar 

• Kovács, G., & Spens, K. M. (2007). Humanitarian logistics in disaster relief operations.International Journal of Physical Distribution and Logistics Management,37(2), 99–114.

  Article  Google Scholar 

• Kovács, G., & Spens, K. (2009). Identifying challenges in humanitarian logistics.International Journal of Physical Distribution and Logistics Management,39(6), 506–528.

  Article  Google Scholar 

• Kunz, N., & Reiner, G. (2012). A meta-analysis of humanitarian logistics research.Journal of Humanitarian Logistics and Supply Chain Management,2(2), 116–147.

  Article  Google Scholar 

• Larson, R. C., Metzger, M. D., & Cahn, M. F. (2006). Responding to emergencies: Lessons learned and the need for analysis.Interfaces,36(6), 486–501.

  Article  Google Scholar 

• Lodree, E. J, Jr. (2011). Pre-storm emergency supplies inventory planning.Journal of Humanitarian Logistics and Supply Chain Management,1(1), 50–77.

  Article  Google Scholar 

• Lu, Y., & Xu, J. (2014). The progress of emergency response and rescue in China: A comparative analysis of Wenchuan and Lushan earthquakes.Natural Hazards, 74(2), 421–444.

• 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.

  Article  Google Scholar 

• Nolz, P. C., Doerner, K. F., Gutjahr, W. J., & Hartl, R. F. (2010). A bi-objective metaheuristic for disaster relief operation planning. In Coello, C. A. C., & Dhaenens, C. (eds.)Advances in multi-objective nature inspired computing (pp. 167–187). Springer: Berlin.

• Özdamar, L., Ekinci, E., & Küçükyazici, B. (2004). Emergency logistics planning in natural disasters.Annals of Operations Research,129(1–4), 217–245.

  Article  Google Scholar 

• Ozguven, E. E., & Ozbay, K. (2013). A secure and efficient inventory management system for disasters.Transportation Research Part C,29, 171–196.

  Article  Google Scholar 

• Paul, J. A., & Hariharan, G. (2012). Location-allocation planning of stockpiles for effective disaster mitigation.Annals of Operations Research,196(1), 469–490.

  Article  Google Scholar 

• Rawls, C. G., & Turnquist, M. A. (2012). Pre-positioning and dynamic delivery planning for short-term response following a natural disaster.Socio-Economic Planning Sciences,46(1), 46–54.

  Article  Google Scholar 

• Thomas, A., & Mizushima, M. (2005). Fritz institute: Logistics training: Necessity or luxury?Forced Migration Review,22, 60–61.

  Google Scholar 

Download references