Advanced SearchSearch Tips
A Review of Relief Supply Chain Optimization
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Review of Relief Supply Chain Optimization
Manopiniwes, Wapee; Irohara, Takashi;
  PDF(new window)
With a steep increase of the global disaster relief efforts around the world, the relief supply chain and humanitarian logistics play an important role to address this issue. A broad overview of operations research ranges from a principle or conceptual framework to analytical methodology and case study applied in this field. In this paper, we provide an overview of this challenging research area with emphasis on the corresponding optimization problems. The scope of this study begins with classification by the stage of the disaster lifecycle system. The characteristics of each optimization problem for the disaster supply chain are considered in detail as well as the logistics features. We found that the papers related to disaster relief can be grouped in three aspects in terms of logistics attributes: facility location, distribution model, and inventory model. Furthermore, the literature also analyzes objectives and solution algorithms proposed in each optimization model in order to discover insights, research gaps and findings. Finally, we offer future research directions based on our findings from the investigation of literature review.
Relief Supply Chain;Humanitarian Logistics;Disaster;Optimization;Modeling;
 Cited by
Humanitarian Relief Logistics with Time Restriction: Thai Flooding Case Study,;;;

Industrial Engineering and Management Systems, 2014. vol.13. 4, pp.398-407 crossref(new window)
Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response, International Journal of Production Research, 2017, 55, 4, 979  crossref(new windwow)
Pre-positioning of emergency supplies: does putting a price on human life help to save lives?, Annals of Operations Research, 2017, 1572-9338  crossref(new windwow)
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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

Altay, N. and Green III, W. G. (2006), OR/MS research in disaster operations management, European Journal of Operational Research, 175(1), 475-493. crossref(new window)

Balcik, B. and Beamon, B. M. (2008), Facility location in humanitarian relief, International Journal of Logistics Research and Applications, 11(2), 101-121. crossref(new window)

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. crossref(new window)

BBC News (2013), Typhoon Haiyan death toll rises over 5,000,

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

EM-DAT (2011), Natural disaster trends: number of natural disasters reported 1990-2010, http://www.

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. crossref(new window)

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,

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

Klibi, W., Ichoua, S., and Martel, A. (2013), Prepositioning emergency supplies to support disaster relief: a stochastic programming approach,

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. crossref(new window)

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://

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

Ozdamar, L., Ekinci, E., and Kucukyazici, B. (2004), Emergency logistics planning in natural disasters, Annals of Operations Research, 129(1-4), 217-245. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

Sheu, J. B. (2007b), Challenges of emergency logistics management, Transportation Research Part E: Logistics and Transportation Review, 43(6), 655-659. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

United Nations Office for the Coordination of Humanitarian Affairs (2013), Philippines: Typhoon Haiyan situation report no. 22,

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

Yuan, Y. and Wang, D. (2009), Path selection model and algorithm for emergency logistics management, Computers and Industrial Engineering, 56(3), 1081-1094. crossref(new window)