Relief Distribution in Humanitarian Logistics: A Literature Review

Main Article Content

Anna Maria Sri Asih
Slamet Setio Wigati
Zahwa Devarrah Widyatamaka

Abstract

This study undertakes a review of the literature on relief distribution, which is a part of humanitarian logistics. Researchers’ interest in relief distribution has grown over the previous two decades, as indicated by the growing number of studies on the subject, both in the pre-disaster and post-disaster phases. The initial step in humanitarian logistics is determining the site of the distribution center, health care facility, and shelter, as well as allocating resources to that place. The second step is to determine the transportation route for commodity/resource relief delivery in the disaster logistics network. Transportation issues are inextricably linked to the evacuation of disaster victims and inventory management. As a result, the difficulties addressed in this study include location/allocation, routing, distribution and evacuation, and integration issue, which is integration of location/allocation, routing, inventory, and others. The type of data modelling, objective function, time period, commodity type number, and solution method for each problem will be examined. Topics that can be developed for additional investigation will be discussed in the final section.

Article Details

How to Cite
[1]
Anna Maria Sri Asih, Slamet Setio Wigati, and Z. D. Widyatamaka, “Relief Distribution in Humanitarian Logistics: A Literature Review”, J. Ind. Eng. Edu., vol. 1, no. 2, pp. 36–52, Sep. 2023.
Section
Articles

References

Abounacer, R., Rekik, M. and Renaud, J. (2014) ‘An exact solution approach for multi-objective location-transportation problem for disaster response’, Computers and Operations Research. Elsevier, 41(1), pp. 83–93. doi: 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. Elsevier Ltd, 46(4), pp. 327–338. doi: 10.1016/j.seps.2011.12.003.

Ahmadi, M., Seifi, A. and Tootooni, B. (2015) ‘A humanitarian logistics model for disaster relief operation considering network failure and standard relief time: A case study on San Francisco district’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 75, pp. 145–163. doi: 10.1016/j.tre.2015.01.008.

Ai, T. J. and Wigati, S. S. (2017) ‘Morphological effect of the type, concentration and etching time of acid solutions on enamel and dentin surfaces.’, IOP Conference Series: Materials Science and Engineering, 166. doi: 10.1088/1742-6596/755/1/011001.

Altay, N. and Green, W. G. (2006) ‘OR/MS research in disaster operations management’, European Journal of Operational Research, 175(1), pp. 475–493. doi: 10.1016/j.ejor.2005.05.016.

Anaya-Arenas, A. M., Renaud, J. and Ruiz, A. (2014) ‘Relief distribution networks: a systematic review’, Annals of Operations Research, 223(1), pp. 53–79. doi: 10.1007/s10479-014-1581-y.

Babaei, A. and Shahanaghi, K. (2017) ‘A new model for planning the distributed facilities locations under emergency conditions and uncertainty space in relief logistics’, Uncertain Supply Chain Management, 5, pp. 105–125. doi: 10.5267/j.uscm.2016.10.004.

Babaei, M., Mohaymany, A. S. and Nikoo, N. (2017) ‘Emergency Transportation Network Design Problem: Identification and Evaluation of Disaster Response Routes’, International Journal of Disaster Risk Reduction, 27(March 2017), pp. 7–20. doi: 10.1016/j.ijdrr.2017.07.003.

Balcik, B. and Beamon, B. M. (2008) ‘Facility location in humanitarian relief’, International Journal of Logistics: Research & Applications, 11(2), pp. 101–121. doi: 10.1080/13675560701561789.

Balcik, B., Beamon, B. M. and Smilowitz, K. (2008) ‘Last mile distribution in humanitarian relief’, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 12(2), pp. 51–63. doi: 10.1080/15472450802023329.

Barbarosoǧlu, 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), pp. 43–53. doi: 10.1057/palgrave.jors.2601652.

Barzinpour, F. and Esmaeili, V. (2014) ‘A multi-objective relief chain location distribution model for urban disaster management’, International Journal of Advanced Manufacturing Technology, 70(5–8), pp. 1291–1302. doi: 10.1007/s00170-013-5379-x.

Battini, D. et al. (2014) ‘Application of humanitarian last mile distribution model’, Journal of Humanitarian Logistics and Supply Chain Management, 4(1), pp. 131–148. doi: 10.1108/JHLSCM-01-2013-0001.

Berkoune, D. et al. (2012) ‘Transportation in disaster response operations’, Socio-Economic Planning Sciences. Elsevier Ltd, 46(1), pp. 23–32. doi: 10.1016/j.seps.2011.05.002.

Boonmee, C., Arimura, M. and Asada, T. (2017) ‘Facility location optimization model for emergency humanitarian logistics’, International Journal of Disaster Risk Reduction. Elsevier Ltd, 24(January), pp. 485–498. doi: 10.1016/j.ijdrr.2017.01.017.

Bozorgi-Amiri, A., Jabalameli, M. S. and Mirzapour Al-e-Hashem, S. M. J. (2013) ‘A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty’, OR Spectrum, 35(4), pp. 905–933. doi: 10.1007/s00291-011-0268-x.

Bozorgi-Amiri, A. and Khorsi, M. (2016) ‘A dynamic multi-objective location–routing model for relief logistic planning under uncertainty on demand, travel time, and cost parameters’, International Journal of Advanced Manufacturing Technology. The International Journal of Advanced Manufacturing Technology, 85(5–8), pp. 1633–1648. doi: 10.1007/s00170-015-7923-3.

Camacho-Vallejo, J. F. et al. (2015) ‘A bi-level optimization model for aid distribution after the occurrence of a disaster’, Journal of Cleaner Production, 105, pp. 134–145. doi: 10.1016/j.jclepro.2014.09.069.

Caunhye, A. M. et al. (2016) ‘A location-routing model for prepositioning and distributing emergency supplies’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 90, pp. 161–176. doi: 10.1016/j.tre.2015.10.011.

Caunhye, A. M., Nie, X. and Pokharel, S. (2012) ‘Optimization models in emergency logistics: A literature review’, Socio-Economic Planning Sciences. Elsevier Ltd, 46(1), pp. 4–13. doi: 10.1016/j.seps.2011.04.004.

Chang, F. S. et al. (2014) ‘Greedy-search-based multi-objective genetic algorithm for emergency logistics scheduling’, Expert Systems with Applications. Elsevier Ltd, 41(6), pp. 2947–2956. doi: 10.1016/j.eswa.2013.10.026.

Chang, K. et al. (2017) ‘Multiobjective Location Routing Problem considering Uncertain Data after Disasters’, 2017.

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), pp. 737–754. doi: 10.1016/j.tre.2006.10.013.

Charles, A. and Lauras, M. (2011) ‘An enterprise modelling approach for better optimisation modelling: Application to the humanitarian relief chain coordination problem’, OR Spectrum, 33(3), pp. 815–841. doi: 10.1007/s00291-011-0255-2.

Chen, A. Y., Peña-Mora, F. and Ouyang, Y. (2011) ‘A collaborative GIS framework to support equipment distribution for civil engineering disaster response operations’, Automation in Construction. Elsevier B.V., 20(5), pp. 637–648. doi: 10.1016/j.autcon.2010.12.007.

Cheraghi, S. and Hosseini-Motlagh, S. M. (2017) ‘Optimal Blood Transportation in Disaster Relief Considering Facility Disruption and Route Reliability under Uncertainty’, International Journal of Transportation Engineering, 4(3), pp. 225–254.

Chern, C. C., Chen, Y. L. and Kung, L. C. (2010) ‘A heuristic relief transportation planning algorithm for emergency supply chain management’, International Journal of Computer Mathematics, 87(7), pp. 1638–1664. doi: 10.1080/00207160802441256.

Condeixa, L. D. et al. (2017) ‘Disaster relief supply pre-positioning optimization: A risk analysis via shortage mitigation’, International Journal of Disaster Risk Reduction. Elsevier Ltd, 25(August), pp. 238–247. doi: 10.1016/j.ijdrr.2017.09.007.

Cook, R. A. and Lodree, E. J. (2017) ‘Dispatching policies for last-mile distribution with stochastic supply and demand’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 106, pp. 353–371. doi: 10.1016/j.tre.2017.08.008.

Costa, S. R. A. da, Campos, V. B. G. and Bandeira, R. A. de M. (2012) ‘Supply Chains in Humanitarian Operations: Cases and Analysis’, Procedia - Social and Behavioral Sciences, 54, pp. 598–607. doi: 10.1016/j.sbspro.2012.09.777.

Davis, L. B. et al. (2013) ‘Inventory planning and coordination in disaster relief efforts’, International Journal of Production Economics. Elsevier, 141(2), pp. 561–573. doi: 10.1016/j.ijpe.2012.09.012.

Esmaeil, V. and Barzinpour, F. (2014) ‘Integrated decision making model for urban disaster management: A multi-objective genetic algorithm approach’, International Journal of Industrial Engineering Computations, 5(1), pp. 55–70. doi: 10.5267/j.ijiec.2013.08.004.

Fikar, C., Gronalt, M. and Hirsch, P. (2016) ‘A decision support system for coordinated disaster relief distribution’, Expert Systems with Applications. Elsevier Ltd, 57, pp. 104–116. doi: 10.1016/j.eswa.2016.03.039.

Fontem, B. et al. (2016) ‘A decomposition-based heuristic for stochastic emergency routing problems’, Expert Systems with Applications. Elsevier Ltd, 59, pp. 47–59. doi: 10.1016/j.eswa.2016.04.002.

Guha-Sapir, D., Hoyois, P. and Below, R. (2014) ‘Annual Disaster Statistical Review 2013: The numbers and trends’, Centre for Research on the Epidemoilogy of Disasters, pp. 1–42.

Gutjahr, W. J. and Nolz, P. C. (2016) ‘Multicriteria optimization in humanitarian aid’, European Journal of Operational Research. Elsevier B.V., 252(2), pp. 351–366. doi: 10.1016/j.ejor.2015.12.035.

Habib, M. S. et al. (2016) ‘Mathematical Models in Humanitarian Supply Chain Management: A Systematic Literature Review’, Mathematical Problems in Engineering, 2016, pp. 1–20. doi: 10.1155/2016/3212095.

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, pp. 1205–1219. doi: 10.1016/j.sbspro.2012.09.835.

Han, Y., Guan, X. and Shi, L. (2011) ‘Optimization based method for supply location selection and routing in large-scale emergency material delivery’, IEEE Transactions on Automation Science and Engineering, 8(4), pp. 683–693. doi: 10.1109/TASE.2011.2159838.

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), pp. 821–844. doi: 10.1111/j.1467-7717.2010.01171.x.

Horner, M. W. and Widener, M. J. (2011) ‘The effects of transportation network failure on people’s accessibility to hurricane disaster relief goods: A modeling approach and application to a Florida case study’, Natural Hazards, 59(3), pp. 1619–1634. doi: 10.1007/s11069-011-9855-z.

Hoyos, M. C., Morales, R. S. and Akhavan-Tabatabaei, R. (2015) ‘OR models with stochastic components in disaster operations management: A literature survey’, Computers & Industrial Engineering. Elsevier Ltd, 82, pp. 183–197. doi: 10.1016/j.cie.2014.11.025.

Huang, K. et al. (2015) ‘Modeling multiple humanitarian objectives in emergency response to large-scale disasters’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 75, pp. 1–17. doi: 10.1016/j.tre.2014.11.007.

Huang, X. and Song, L. (2016) ‘An emergency logistics distribution routing model for unexpected events’, Annals of Operations Research, (i), pp. 1–17. doi: 10.1007/s10479-016-2300-7.

Jabbarzadeh, A., Fahimnia, B. and Seuring, S. (2014) ‘Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 70(1), pp. 225–244. doi: 10.1016/j.tre.2014.06.003.

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, pp. 313–325. doi: 10.1016/j.sepro.2012.04.049.

Kasemsri, R. et al. (2017) ‘ROBUST OPTIMIZATION OF FACILITY LOCATION MODELS AND FUNDAMENTAL RESOURCE ESTIMATIONS UNDER DEMAND UNCERTAINTY : A CASE STUDY OF RELIEF DISTRIBUTION’, 1(2), pp. 148–158. doi: 10.2495/TDI-V1-N2-148-158.

Khayal, D. et al. (2015) ‘A model for planning locations of temporary distribution facilities for emergency response’, Socio-Economic Planning Sciences. Elsevier Ltd, 52, pp. 22–30. doi: 10.1016/j.seps.2015.09.002.

Khorsi, M., Bozorgi-Amiri, A. and Ashjari, B. (2013) ‘A Nonlinear Dynamic Logistics Model for Disaster Response under Uncertainty’, Journal of Mathematics and Computer Science, 7, pp. 63–72.

Kovács, G. and Spens, K. (2009) ‘Identifying challenges in humanitarian logistics’, International Journal of Physical Distribution & Logistics Management, 39(6), pp. 506–528. doi: 10.1108/09600030910985848.

Leiras, A. et al. (2014) ‘Literature review of humanitarian logistics research: trends and challenges’, Journal of Humanitarian Logistics and Supply Chain Management, 4(1), pp. 95–130. doi: 10.1108/JHLSCM-04-2012-0008.

Liberatore, F. et al. (2014) ‘A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics’, Computers and Operations Research, 42, pp. 3–13. doi: 10.1016/j.cor.2012.03.019.

Lin, Y. H. et al. (2012) ‘Location of temporary depots to facilitate relief operations after an earthquake’, Socio-Economic Planning Sciences. Elsevier Ltd, 46(2), pp. 112–123. doi: 10.1016/j.seps.2012.01.001.

Liu, Y. and Guo, B. (2014) ‘A lexicographic approach to postdisaster relief logistics planning considering fill rates and costs under uncertainty’, Mathematical Problems in Engineering, 2014. doi: 10.1155/2014/939853.

Lu, C. C., Ying, K. C. and Chen, H. J. (2016) ‘Real-time relief distribution in the aftermath of disasters - A rolling horizon approach’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 93, pp. 1–20. doi: 10.1016/j.tre.2016.05.002.

Manopiniwes, W. and Irohara, T. (2017) ‘Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response’, International Journal of Production Research, 55(4), pp. 979–996. doi: 10.1080/00207543.2016.1211340.

Marcelin, J. M. et al. (2016) ‘How does accessibility to post-disaster relief compare between the aging and the general population? A spatial network optimization analysis of hurricane relief facility locations’, International Journal of Disaster Risk Reduction. Elsevier, 15, pp. 61–72. doi: 10.1016/j.ijdrr.2015.12.006.

Mete, H. O. and Zabinsky, Z. B. (2010) ‘Stochastic optimization of medical supply location and distribution in disaster management’, International Journal of Production Economics. Elsevier, 126(1), pp. 76–84. doi: 10.1016/j.ijpe.2009.10.004.

Mishra, B. K., Dahal, K. and Pervez, Z. (2017) ‘Post-disaster relief distribution using a two phase bounded heuristic approach’, Proceedings of the 7th International Conference Confluence 2017 on Cloud Computing, Data Science and Engineering, (2004), pp. 143–148. doi: 10.1109/CONFLUENCE.2017.7943139.

Mollah, A. K. et al. (2017) ‘A Cost Optimization Model and Solutions for Shelter Allocation and Relief Distribution in Flood Scenario’, International Journal of Disaster Risk Reduction. Elsevier Ltd, (December 2016), pp. 1–12. doi: 10.1016/j.ijdrr.2017.11.018.

Najafi, M., Eshghi, K. and 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. Elsevier Ltd, 49(1), pp. 217–249. doi: 10.1016/j.tre.2012.09.001.

Nolz, P. C., Doerner, K. F. and Hartl, R. F. (2010) ‘Water distribution in disaster relief’, International Journal of Physical Distribution and Logistics Management, 40(8), pp. 693–708. doi: 10.1108/09600031011079337.

Nolz, P. C., Semet, F. and Doerner, K. F. (2011) ‘Risk approaches for delivering disaster relief supplies’, OR Spectrum, 33(3), pp. 543–569. doi: 10.1007/s00291-011-0258-z.

Noyan, N. (2012) ‘Risk-averse two-stage stochastic programming with an application to disaster management’, Computers & Operations Research. Elsevier, 39(3), pp. 541–559. doi: 10.1016/j.cor.2011.03.017.

Ortuño, M. T., Tirado, G. and Vitoriano, B. (2011) ‘A lexicographical goal programming based decision support system for logistics of Humanitarian Aid’, Top, 19(2), pp. 464–479. doi: 10.1007/s11750-010-0138-8.

Ozdamar, L. (2011) ‘Planning helicopter logistics in disaster relief’, OR Spectrum, 33(3), pp. 655–672. doi: 10.1007/s00291-011-0259-y.

Özdamar, 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), pp. 591–602. doi: 10.1016/j.tre.2011.11.003.

Özdamar, L., Ekinci, E. and Küçükyazici, B. (2004) ‘Emergency Logistics Planning in Natural Disasters’, Annals of Operations Research, 129(1–4), pp. 217–245. doi: 10.1023/B:ANOR.0000030690.27939.39.

Paul, J. A. and Hariharan, G. (2012) ‘Location-allocation planning of stockpiles for effective disaster mitigation’, Annals of Operations Research, 196(1), pp. 469–490. doi: 10.1007/s10479-011-1052-7.

Paul, J. A. and MacDonald, L. (2016) ‘Location and capacity allocations decisions to mitigate the impacts of unexpected disasters’, European Journal of Operational Research. Elsevier B.V., 251(1), pp. 252–263. doi: 10.1016/j.ejor.2015.10.028.

Pérez-Rodríguez, N. and Holguin-Veras, J. (2015) ‘Inventory-Allocation Distribution Models for Postdisaster Humanitarian Logistics with Explicit Consideration of Deprivation Costs Inventory-Allocation Distribution Models for Postdisaster Humanitarian Logistics with Explicit Consideration of Deprivation C’, Transportation Science, (June), pp. 1–25. doi: http://dx.doi.org/10.1287/trsc.2014.0565.

Ransikarbum, K. and Mason, S. J. (2016a) ‘Goal programming-based post-disaster decision making for integrated relief distribution and early-stage network restoration’, International Journal of Production Economics. Elsevier, 182, pp. 324–341. doi: 10.1016/j.ijpe.2016.08.030.

Ransikarbum, K. and Mason, S. J. (2016b) ‘Multiple-objective analysis of integrated relief supply and network restoration in humanitarian logistics operations’, International Journal of Production Research, 54(1), pp. 49–68. doi: 10.1080/00207543.2014.977458.

Rath, S., Gendreau, M. and Gutjahr, W. J. (2016) ‘Bi-objective stochastic programming models for determining depot locations in disaster relief operations’, International Transactions in Operational Research, 23(6), pp. 997–1023. doi: 10.1111/itor.12163.

Rath, S. and Gutjahr, W. J. (2014) ‘A math-heuristic for the warehouse location-routing problem in disaster relief’, Computers and Operations Research. Elsevier, 42, pp. 25–39. doi: 10.1016/j.cor.2011.07.016.

Rezaei-Malek, M. and Tavakkoli-Moghaddam, R. (2014) ‘Robust humanitarian relief logistics network planning’, Uncertain Supply Chain Management, 2(2), pp. 73–96. doi: 10.5267/j.uscm.2014.1.002.

Rottkemper, B. and Fischer, K. (2013) ‘Decision making in humanitarian logistics – A multi-objective optimization model for relocating relief goods during disaster recovery operations Hamburg University of Technology Hamburg University of Technology’, 10th International ISCRAM Conference, (May), pp. 647–657.

Safeer, M. et al. (2014) ‘Analyzing transportation and distribution in emergency humanitarian logistics’, Procedia Engineering. Elsevier B.V., 97, pp. 2248–2258. doi: 10.1016/j.proeng.2014.12.469.

Sahebjamnia, N., Torabi, S. A. and Mansouri, S. A. (2017) ‘A hybrid decision support system for managing humanitarian relief chains’, Decision Support Systems. Elsevier B.V., 95, pp. 12–26. doi: 10.1016/j.dss.2016.11.006.

Salman, F. S. and Yücel, E. (2015) ‘Emergency facility location under random network damage: Insights from the Istanbul case’, Computers and Operations Research. Elsevier, 62, pp. 266–281. doi: 10.1016/j.cor.2014.07.015.

Salmeron, J. and Apte, A. (2010) ‘Stochastic Optimization for Natural Disaster Asset Prepositioning.Pdf’, Production and Operations Management, 19(5), pp. 561–574. doi: 10.3401/poms.1080.01119.

Setak, M., Izadi, S. H. and Tikani, H. (2017) ‘A time-dependent vehicle routing problem for disaster response phase in multi-graph-based network’, International Journal of Industrial Engineering and Production research, 28(4).

Seuring, S. and Gold, S. (2012) ‘Conducting content‐analysis based literature reviews in supply chain management’, Supply Chain Management: An International Journal, 17(5), pp. 544–555.

Sharif, M. T. and Salari, M. (2015) ‘A GRASP algorithm for a humanitarian relief transportation problem’, Engineering Applications of Artificial Intelligence. Elsevier, 41, pp. 259–269. doi: 10.1016/j.engappai.2015.02.013.

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), pp. 687–709. doi: 10.1016/j.tre.2006.04.004.

Sheu, J. B., Lan, L. W. and Chen, Y. (2005) ‘a Novel Model for Quick Response To Disaster Relief’, Proceedings of the Eastern Asia Society for Transportation Studies, 5(January), pp. 2454–2462.

Sheu, J. B. and Pan, C. (2014) ‘A method for designing centralized emergency supply network to respond to large-scale natural disasters’, Transportation Research Part B: Methodological. Elsevier Ltd, 67, pp. 320–343. doi: 10.1016/j.trb.2014.05.011.

Tavana, M. et al. (2017) ‘An integrated location-inventory-routing humanitarian supply chain network with pre- and post-disaster management considerations’, Socio-Economic Planning Sciences, (October). doi: 10.1016/j.seps.2017.12.004.

Al Theeb, N. and Murray, C. (2017) ‘Vehicle routing and resource distribution in postdisaster humanitarian relief operations’, International Transactions in Operational Research, 24(6), pp. 1253–1284. doi: 10.1111/itor.12308.

Thomas, A. and Mizushima, M. (2005) ‘Logistics training : necessity or luxury ?’, Forced Migration Review, 22, pp. 60–61.

Tomasini, R. and Van Wassenhove, L. N. (2009) ‘Humanitarian Logistics’, p. 178. doi: 10.1057/9780230233485.

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), pp. 673–686. doi: 10.1016/j.tre.2006.10.012.

Uslu, A., Selçuk, Ç. and 1, S. K. İ. (2017) ‘Research Article VEHICLE ROUTING PROBLEM IN POST-DISASTER HUMANITARIAN RELIEF LOGISTICS : A CASE STUDY IN ANKARA’, Sigma Journal of Engineering and Natural Sciences, 35(3), pp. 481–499.

Verma, A. and Gaukler, G. M. (2015) ‘Pre-positioning disaster response facilities at safe locations: An evaluation of deterministic and stochastic modeling approaches’, Computers & Operations Research. Elsevier, 62, pp. 197–209. doi: 10.1016/j.cor.2014.10.006.

Vitoriano, B. et al. (2011) ‘A multi-criteria optimization model for humanitarian aid distribution’, Journal of Global Optimization, 51(2), pp. 189–208. doi: 10.1007/s10898-010-9603-z.

Wang, H., Du, L. and Ma, S. (2014) ‘Multi-objective open location-routing model with split delivery for optimized relief distribution in post-earthquake’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 69, pp. 160–179. doi: 10.1016/j.tre.2014.06.006.

Wang, W., Huang, L. and Guo, Z. (2017) ‘Optimization of emergency material dispatch from multiple depot locations to multiple disaster sites’, Sustainability (Switzerland), 9(11), pp. 1–8. doi: 10.3390/su9111978.

Whybark, D. C. (2007) ‘Issues in managing disaster relief inventories’, International Journal of Production Economics, 108(1–2), pp. 228–235. doi: 10.1016/j.ijpe.2006.12.012.

Widener, M. J., Horner, M. W. and Ma, K. (2015) ‘Positioning disaster relief teams given dynamic service demand: A hybrid agent-based and spatial optimization approach’, Transactions in GIS, 19(2), pp. 279–295. doi: 10.1111/tgis.12092.

Yan, S. and Shih, Y. L. (2009) ‘Optimal scheduling of emergency roadway repair and subsequent relief distribution’, Computers and Operations Research, 36(6), pp. 2049–2065. doi: 10.1016/j.cor.2008.07.002.

Yang, Y. (2017) ‘Model for Bi-objective emergency rescue vehicle routing optimization’, AIP Conference Proceedings, 1820. doi: 10.1063/1.4977373.

Yi, W. and Kumar, A. (2007) ‘Ant colony optimization for disaster relief operations’, Transportation Research Part E: Logistics and Transportation Review, 43(6), pp. 660–672. doi: 10.1016/j.tre.2006.05.004.

Yi, W. and Özdamar, L. (2007) ‘A dynamic logistics coordination model for evacuation and support in disaster response activities’, European Journal of Operational Research, 179(3), pp. 1177–1193. doi: 10.1016/j.ejor.2005.03.077.

Yuan, Y. and Wang, D. (2009) ‘Path selection model and algorithm for emergency logistics management’, Computers & Industrial Engineering. Elsevier Ltd, 56(3), pp. 1081–1094. doi: 10.1016/j.cie.2008.09.033.

Zhan, S. L. and Liu, N. (2011) ‘A multi-objective stochastic programming model for emergency logistics based on goal programming’, Proceedings - 4th International Joint Conference on Computational Sciences and Optimization, CSO 2011, pp. 640–644. doi: 10.1109/CSO.2011.44.

Zhang, J., Li, J. and Liu, Z. (2012) ‘Multiple-resource and multiple-depot emergency response problem considering secondary disasters’, Expert Systems with Applications. Elsevier Ltd, 39(12), pp. 11066–11071. doi: 10.1016/j.eswa.2012.03.016.

Zokaee, S., Bozorgi-Amiri, A. and Sadjadi, S. J. (2016) ‘A robust optimization model for humanitarian relief chain design under uncertainty’, Applied Mathematical Modelling. Elsevier Inc., 40(17–18), pp. 7996–8016. doi: 10.1016/j.apm.2016.04.005.