References
- Abounacer, R., Rekik, M., and Renaud, J. (2014), An exact solution approach for multi-objective locationtransportation problem for disaster response, Computers and Operations Research, 41, 83-93. https://doi.org/10.1016/j.cor.2013.08.001
- Afshar, A. and Haghani, A. (2012), Modeling integrated supply chain logistics in real-time large-scale disaster relief operations, Socio-Economic Planning Sciences, 46(4), 327-338. https://doi.org/10.1016/j.seps.2011.12.003
- Aksu, D. T. and Ozdamar, L. (2014), A mathematical model for post-disaster road restoration: enabling accessibility and evacuation, Transportation Research Part E: Logistics and Transportation Review, 61, 56-67. https://doi.org/10.1016/j.tre.2013.10.009
- Altay, N. and Green III, W. G. (2006), OR/MS research in disaster operations management, European Journal of Operational Research, 175(1), 475-493. https://doi.org/10.1016/j.ejor.2005.05.016
- Balcik, B. and Beamon, B. M. (2008), Facility location in humanitarian relief, International Journal of Logistics Research and Applications, 11(2), 101-121. https://doi.org/10.1080/13675560701561789
- Banomyong, R. and Sodapang, A. (2012), Relief supply chain planning: insights from Thailand. In: G. Kovacs and K. Spens (eds.), Relief Supply Chain Management for Disasters: Humanitarian, Aid and Emergency Logistics, Information Science Reference, Hershey, PA, 31-44.
- Barbarosoglu, G. and 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. https://doi.org/10.1057/palgrave.jors.2601652
- BBC News (2013), Typhoon Haiyan death toll rises over 5,000, http://www.bbc.co.uk/news/world-asia-25051606.
- Ben-Tal, A., Chung, B. D., Mandala, S. R., and Yao, T. (2011), Robust optimization for emergency logistics planning: risk mitigation in humanitarian relief supply chains, Transportation Research Part B: Methodological, 45(8), 1177-1189. https://doi.org/10.1016/j.trb.2010.09.002
- Bozorgi-Amiri, A., Jabalameli, M. S., and Al-e-Hashem, S. M. J. M. (2013), A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty, OR Spectrum, 35(4), 905-933. https://doi.org/10.1007/s00291-011-0268-x
- Caunhye, A. M., Nie, X., and Pokharel, S. (2012), Optimization models in emergency logistics: a literature review, Socio-Economic Planning Sciences, 46(1), 4-13. https://doi.org/10.1016/j.seps.2011.04.004
- Chang, M. S., Tseng, Y. L., and 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. https://doi.org/10.1016/j.tre.2006.10.013
- Dasaklis, T. K., Pappis, C. P., and Rachaniotis, N. P. (2012), Epidemics control and logistics operations: a review, International Journal of Production Economics, 139(2), 393-410. https://doi.org/10.1016/j.ijpe.2012.05.023
- Day, J. M., Junglas, I., and Silva, L. (2009), Information flow impediments in disaster relief supply chains, Journal of the Association for Information Systems, 10(8), 637-660.
- de la Torre, L. E., Dolinskaya, I. S., and Smilowitz, K. R. (2012), Disaster relief routing: integrating research and practice, Socio-Economic Planning Sciences, 46(1), 88-97. https://doi.org/10.1016/j.seps.2011.06.001
- Dessouky, M., Ordonez, F., Jia, H., and Shen, Z. (2006), Rapid distribution of medical supplies. In: R. Hall (ed.), Patient Flow: Reducing Delay in Healthcare Delivery, Springer, New York, NY, 309-338.
- Duran, S., Gutierrez, M. A., and Keskinocak, P. (2011), Pre-positioning of emergency items for care international, Interfaces, 41(3), 223-237. https://doi.org/10.1287/inte.1100.0526
- EM-DAT (2011), Natural disaster trends: number of natural disasters reported 1990-2010, http://www. emdat.be/natural-disasters-trends.
- Falasca, M. (2009), Quantitative decision models for humanitarian logistics, Ph.D. dissertation, Virginia Polytechnic Institute and State University, Blacksburg,VA.
- Falasca, M., Zobel, C. W., and Fetter, G. M. (2009), An optimization model for humanitarian relief volunteer management, Proceedings of the 6th International ISCRAM Conference, Gothenburg, Sweden.
- Feng, K., Bizimana E., Agu, D. D., and Isaac, T. T. (2013), Optimization and simulation modeling of disaster relief supply chain: a literature review, Proceedings of the Southeast Decision Sciences Institute Conference, Charleston, SC.
- Galindo, G. and Batta, R. (2013), Review of recent developments in OR/MS research in disaster operations management, European Journal of Operational Research, 230(2), 201-211. https://doi.org/10.1016/j.ejor.2013.01.039
- Gkonis, K. G., Ventikos, N. P., and Psaraftis, H. N. (2007), A decision-making model for oil spill response at the tactical level, Proceedings of the International Symposium on Maritime Safety, Security and Environmental Protection, Athens, Greece.
- Guha-Sapir, D., Hoyois, P., and Below, R. (2013), Annual Disaster Statistical Review 2012: The Numbers and Trends, Centre for Research on the Epidemiology of Disasters, Brussels.
- Gunnec, D. and Salman, F. S. (2007), A two-stage multicriteria stochastic programming model for location of emergency response and distribution centers, http://www.poms.ucl.ac.be/inoc2007/Papers/author.101/paper/paper.101.pdf.
- Hamedi, M., Haghani, A., and Yang, S. (2012), Reliable transportation of humanitarian supplies in disaster response: model and heuristic, Procedia-Social and Behavioral Sciences, 54, 1205-1219. https://doi.org/10.1016/j.sbspro.2012.09.835
- Horner, M. W. and Downs, J. A. (2010), Optimizing hurricane disaster relief goods distribution: model development and application with respect to planning strategies, Disasters, 34(3), 821-844. https://doi.org/10.1111/j.1467-7717.2010.01171.x
- Irohara, T., Kuo, Y. H., and Leung, J. M. Y. (2013), From preparedness to recovery: a tri-level programming model for disaster relief planning. In: D. Pacino et al. (eds.), Computational Logistics, Springer, Heidelberg, 213-228.
- Ji, G. and Zhu, C. (2012), A study on emergency supply chain and risk based on urgent relief service in disasters, Systems Engineering Procedia, 5, 313-325. https://doi.org/10.1016/j.sepro.2012.04.049
- Jia, H., Ordonez, F., and Dessouky, M. (2005), A modeling framework for facility location of medical services for large-scale emergencies, IIE Transactions, 39(1), 41-55.
- Jia, H., Ordonez, F., and Dessouky, M. M. (2007), Solution approaches for facility location of medical supplies for large-scale emergencies, Computers and Industrial Engineering, 52(2), 257-276. https://doi.org/10.1016/j.cie.2006.12.007
- Klibi, W., Ichoua, S., and Martel, A. (2013), Prepositioning emergency supplies to support disaster relief: a stochastic programming approach, https://www.cirrelt.ca/DocumentsTravail/CIRRELT-FSA-2013-19.pdf.
- Kongsomsaksakul, S., Yang, C., and Chen, A. (2005), Shelter location-allocation model for flood evacuation planning, Journal of the Eastern Asia Society for Transportation Studies, 6, 4237-4252.
- Kovacs, G. and Spens, K. M. (2008), Humanitarian logistics revisited. In: J. S. Arlbjorn et al. (eds), Northern Lights in Logistics and Supply Chain Management, Copenhagen Business School Press, Frederiksberg, 217-232.
- Kovacs, G. and Spens, K. M. (2012), Relief Supply Chain Management for Disasters: Humanitarian, Aid and Emergency Logistics, Information Science Reference, Hershey, PA.
- Kristianto, Y., Gunasekaran, A., Helo, P., and Hao, Y. (2014), A model of resilient supply chain network design: a two-stage programming with fuzzy shortest path, Expert Systems with Applications, 41(1), 39-49. https://doi.org/10.1016/j.eswa.2013.07.009
- Kusumastuti, R. D., Wibowo, S. S., and Insanita, R. (2013), Modeling facility locations for relief logistics in Indonesia. In: V. Zeimpekis et al. (eds.), Humanitarian and Relief Logistics, Springer, New York, NY, 183-205.
- Lee, W. S., Opit, P. F., and Kim, B. S. (2011), A stock prepositioning model to maximize the total expected relief demand of disaster areas, Proceeding of 2011 Fall Conference of the Korean Institute of Industrial Engineers, Seoul, 1121-1128.
- Lin, Y. H., Batta, R., Rogerson, P. A., Blatt A., and Flanigan, M. (2009), Application of a humanitarian relief logistics model to an earthquake disaster, http:// www.acsu.buffalo.edu/-batta/TRB_Updated.pdf.
- McCall, V. M. (2006), Designing and prepositioning humanitarian assistance pack-up kits (HA PUKs) to support pacific fleet emergency relief operations, Master's thesis, Department of Operations Research, Naval Postgraduate School, Monterrey, CA.
- Mete, H. O. and Zabinsky, Z. B. (2010), Stochastic optimization of medical supply location and distribution in disaster management, International Journal of Production Economics, 126(1), 76-84. https://doi.org/10.1016/j.ijpe.2009.10.004
- Najafi, M., Eshghi, K., and Dullaert, W. (2013), A multiobjective robust optimization model for logistics planning in the earthquake response phase, Transportation Research Part E: Logistics and Transportation Review, 49(1), 217-249. https://doi.org/10.1016/j.tre.2012.09.001
- Natarajarathinam, M., Capar, I., and Narayanan, A. (2009), Managing supply chains in times of crisis: a review of literature and insights, International Journal of Physical Distribution and Logistics Management, 39(7), 535-573. https://doi.org/10.1108/09600030910996251
- Nikbakhsh, E. and Farahani, R. Z. (2011), Humanitarian logistics planning in disaster relief operations. In: R. Farahani et al. (eds.), Logistics Operations and Management, Elsevier, Waltham, MA, 291-332.
- Oloruntoba, R. and Gray, R. (2006), Humanitarian aid: an agile supply chain? Supply Chain Management: An International Journal, 11(2), 115-120. https://doi.org/10.1108/13598540610652492
- Opit, P. F., Lee, W. S., Kim, B. S., and Nakade, K. (2013), Stock pre-positioning model with unsatisfied relief demand constraint to support emergency response, Proceedings of the 2nd International Conference on Industrial Engineering and Service Science, Surabaya, Indonesia.
- Ozdamar, L. and 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. https://doi.org/10.1016/j.tre.2011.11.003
- Ozdamar, L., Ekinci, E., and Kucukyazici, B. (2004), Emergency logistics planning in natural disasters, Annals of Operations Research, 129(1-4), 217-245. https://doi.org/10.1023/B:ANOR.0000030690.27939.39
- Ozguven, E. E. and Ozbay, K. (2013), A secure and efficient inventory management system for disasters, Transportation Research Part C: Emerging Technologies, 29, 171-196. https://doi.org/10.1016/j.trc.2011.08.012
- Pujawan, I. N., Kurniati, N., and Wessiani, N. A. (2009), Supply chain management for disaster relief operations: principles and case studies, International Journal of Logistics Systems and Management, 5(6), 679-692. https://doi.org/10.1504/IJLSM.2009.024797
- Rachaniotis, N. P., Dasaklis, T., Pappis, C. P., and van Wassenhove, L. N. (2013), Multiple location and routing models in humanitarian logistics. In: V. Zeimpekis et al. (eds.), Humanitarian and Relief Logistics, Springer, New York, NY, 43-57.
- Rath, S. and Gutjahr, W. J. (2014), A math-heuristic for the warehouse location-routing problem in disaster relief, Computers and Operations Research, 42, 25-39. https://doi.org/10.1016/j.cor.2011.07.016
- Rawls, C. G. and Turnquist, M. A. (2010), Pre-positioning of emergency supplies for disaster response, Transportation Research Part B: Methodological, 44(4), 521-534. https://doi.org/10.1016/j.trb.2009.08.003
- Rekik, M., Ruiz, A., Renaud, J., Berkoune, D., and Paquet, S. (2013), A decision support system for humanitarian network design and distribution operations. In: V. Zeimpekis et al. (eds.), Humanitarian and Relief Logistics, Springer, New York, NY, 1-20.
- Ropke, S. (2005), Heuristic and exact algorithms for vehicle routing problems, Ph.D. thesis, Department of Computer Science, the University of Copenhagen, Denmark.
- Russell, T. E. (2005), The humanitarian relief supply chain: analysis of the 2004 South East Asia earthquake and tsunami, Ph.D. dissertation, Massachusetts Institute of Technology, Cambridge, MA.
- Salmeron, J. and Apte, A. (2010), Stochastic optimization for natural disaster asset prepositioning, Production and Operation Management, 19(5), 561-574. https://doi.org/10.1111/j.1937-5956.2009.01119.x
- Sebbah, S., Boukhtouta, A., Berger, J., and Ghanmi, A. (2013), Military logistics planning in humanitarian relief operations. In: V. Zeimpekis et al. (eds.), Humanitarian and Relief Logistics, Springer, New York, NY, 77-110.
- Sheu, J. B. (2007a), 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. https://doi.org/10.1016/j.tre.2006.04.004
- Sheu, J. B. (2007b), Challenges of emergency logistics management, Transportation Research Part E: Logistics and Transportation Review, 43(6), 655-659. https://doi.org/10.1016/j.tre.2007.01.001
- Sheu, J. B., Chen, Y. H., and Lan, L. W. (2005), A novel model for quick response to disaster relief distribution, Proceedings of the Eastern Asia Society for Transportation Studies, 5, 2454-2462.
- Smith, K. (2013), Environmental Hazards: Assessing Risk and Reducing Disaster (6th ed.), Routledge, New York, NY.
- Song, R., He, S., and Zhang, L. (2009), Optimum transit operations during the emergency evacuations, Journal of Transportation Systems Engineering and Information Technology, 9(6), 154-160. https://doi.org/10.1016/S1570-6672(08)60096-3
- Taniguchi, E. and Thompson, R. G. (2013), Humanitarian logistics in the great Tohoku disasters 2011. In: V. Zeimpekis et al. (eds.), Humanitarian and Relief Logistics, Springer, New York, NY, 207-218.
- Tzeng, G. H., Cheng, H. J., and 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. https://doi.org/10.1016/j.tre.2006.10.012
- Ukkusuri, S. V. and Yushimito, W. F. (2008), Location routing approach for the humanitarian prepositioning problem, Transportation Research Record: Journal of the Transportation Research Board, 2089, 18-25. https://doi.org/10.3141/2089-03
- United Nations Office for the Coordination of Humanitarian Affairs (2013), Philippines: Typhoon Haiyan situation report no. 22, http://reliefweb.int/sites/reliefweb.int/files/resources/OCHAPhilippinesTyphoonHaiyanSitrepNo22.10December2013_final.pdf.
- Van Hentenryck, P. (2013), Computational disaster management, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, 12-18.
- Whybark, D. C., Melnyk, S. A., Day, J., and Davis, E. (2010), Disaster relief supply chain management: new realities, management challenges, emerging opportunities, Decision Line, 41(3), 4-7.
- Wohlgemuth, S., Oloruntoba, R., and Clausen, U. (2012), Dynamic vehicle routing with anticipation in disaster relief, Socio-Economic Planning Sciences, 46(4), 261-271. https://doi.org/10.1016/j.seps.2012.06.001
- Wright, P. D., Liberatore, M. J., and Nydick, R. L. (2006), A survey of operations research models and applications in homeland security, Interfaces, 36(6), 514-529. https://doi.org/10.1287/inte.1060.0253
- Yan, S. and Shih, Y. L. (2009), Optimal scheduling of emergency roadway repair and subsequent relief distribution, Computers and Operations Research, 36(6), 2049-2065. https://doi.org/10.1016/j.cor.2008.07.002
- Yi, W. and Kumar, A. (2007), Ant colony optimization for disaster relief operations, Transportation Research Part E: Logistics and Transportation Review, 43(6), 660-672. https://doi.org/10.1016/j.tre.2006.05.004
- Yi, W. and Ozdamar, L. (2007), A dynamic logistics coordination model for evacuation and support in disaster response activities, European Journal of Operational Research, 179(3), 1177-1193. https://doi.org/10.1016/j.ejor.2005.03.077
- Yoshimito, W. F., Jaller, M., and Ukkusuri, S. (2012), A Voronoi based heuristic algorithm for locating distribution centers in disasters, Journals of Networks and Spatial Economics, 12(1), 21-39. https://doi.org/10.1007/s11067-010-9140-9
- Yuan, Y. and Wang, D. (2009), Path selection model and algorithm for emergency logistics management, Computers and Industrial Engineering, 56(3), 1081-1094. https://doi.org/10.1016/j.cie.2008.09.033
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