OR/MS research perspectives in disaster operations management: a literature review





Disaster, Emergency management, Humanitarian logistics, Operations research


The unpredictability of natural disasters makes handling their impacts on the population, the environment and the economic resources a challenging decision-making process that must be wisely performed in a very short period of time. An adequate management of operations to disaster response is challenging for decision makers and it has become a topic of significant relevance on a worldwide basis. As a result, academics and practitioners in the field of OR/MS have increased their interest in developing tools to support the decision-making processes on a disaster scenario. This paper surveys the OR/MS literature to identify new trends of increasing interest in disaster operations management (DOM) that have emerged in the last years. A discussion on the gaps that have been successfully addressed in the last years and those that remain opened is also presented. Among the main findings, the recent use of methodologies based on data analysis, such as machine learning and data mining, to address DOM problems was identified. Moreover, a significant increase in the study of operations in the recovery phase and the inclusion of humanitarian objectives in mathematical models was established.

= 229 veces | PDF
= 210 veces|


Download data is not yet available.

Author Biographies

Henry Lamos Díaz, Industrial University of Santander

School of Industrial and Business Studies, Faculty of Physical-mechanical Engineering.

Karin Julieth Aguilar Imitola, Industrial University of Santander

School of Industrial and Business Studies, Faculty of Physical-mechanical Engineering.

Rolando José Acosta Amado, ICESI University

Department of Industrial Engineering, Faculty of Engineering.


C. for Research on the Epidemiology of Disasters CRED, “Natural disasters in 2017 - lower mortality, higher cost,” EM-DAT The International Disaster Database, Brussels, Belgium, Tech. Rep., Mar. 2018.

N. Altay and W. G. Green, “OR/MS research in disaster operations management,” Eur. J. Oper. Res., vol. 175, no. 1, pp. 475–493, Nov. 2006.

D. McLoughlin, “A Framework for Integrated Emergency Management,” Public Adm. Rev., vol. 45, pp. 165–172, Jan. 1985.

J. Holguín, M. Jaller, L. N. Van, N. Pérez, and T. Wachtendorf, “On the unique features of post-disaster humanitarian logistics,” J. Oper. Manag., vol. 30, no. 7-8, pp. 494–506, Nov. 2012.

M. T. Ortuño and et al., “Decision aid models and systems for humanitarian logistics. a survey,” in Decision Aid Models for Disaster Management and Emergencies, B. Vitoriano, J. Montero, and D. Ruan, Eds. Paris, Francia: Atlantis Press, 2013, pp. 17–39.

E. Nikbakhsh and R. Z. Farahani, “Humanitarian logistics planning in disaster relief operations,” in Logistics Operations and Management: Concepts and Models. Massachusetts, USA: Elsevier Inc, 2011, pp. 291–332.

G. Galindo and R. Batta, “Review of recent developments in OR/MS research in disaster operations management,” Eur. J. Oper. Res., vol. 230, no. 2, pp. 201–211, Oct. 2013.

M. Denizel, B. Usdiken, and D. Tuncalp, “Drift or Shift? Continuity, Change, and International OR/MS,” Operations Research, vol. 51, no. 5, pp. 711–720, 2003.

G. Kovács and K. M. Spens, “Humanitarian logistics in disaster relief operations,” Int. J. Phys. Distrib. Logist. Manag., vol. 37, no. 2, pp. 99–114, 2007.

E. Lettieri, C. Masella, and G. Radaelli, “Disaster management: findings from a systematic review,” Disaster Prev. Manag., vol. 18, no. 2, pp. 117–136, 2009.

N. C. Simpson and P. G. Hancock, “Fifty years of operational research and emergency response,” J. Oper. Res. Soc., vol. 60, no. 1, pp. S126––S139, May 2009.

B. Balcik, B. M. Beamon, C. C. Krejci, K. M. Muramatsu, and M. Ramirez, “Coordination in humanitarian relief chains: Practices, challenges and opportunities,” Int. J. Prod. Econ., vol. 126, no. 1, pp. 22–34, Jul. 2010.

R. E. Overstreet, D. Hall, J. B. Hanna, and R. K. Rainer, “Research in humanitarian logistics,” Humanit. Logist. Supply Chain Manag., vol. 1, no. 2, pp. 114–131, 2011.

L. E. D. la Torre, I. S. Dolinskaya, and K. R. Smilowitz, “Disaster relief routing: Integrating research and practice,” Socioecon. Plann. Sci., vol. 46, no. 1, pp. 88–97, Mar. 2012.

A. M. Caunhye, X. Nie, and S. Pokharel, “Optimization models in emergency logistics: A literature review,” Socioecon. Plann. Sci., vol. 46, no. 1, pp. 4–13, Mar. 2012.

H. Gösling and J. Geldermann, “A framework to compare or models for humanitarian logistics,” Procedia Eng., vol. 78, pp. 22–28, 2014.

M. C. Hoyos, R. S. Morales, and R. Akhavan, “OR models with stochastic components in disaster operations management: A literature survey,” Aerosp. and Electron. Syst., vol. 29, no. 25, pp. 12– 17, Mar. 2014.

Y. Zheng, S. Yong, and H. Ling, “Evolutionary optimization for disaster relief operations: A survey,” Appl. Soft Comput. J., vol. 27, pp. 553–566, Feb. 2015.

J. Biolchini, P. Gomes, A. C. Cruz, and G. Horta, “Systematic review in software engineering,” Syst. Eng. Comput. Sci. Dep. ¨COPPE/UFRJ, Rio de Janeiro, Tech. Rep. RT-ES679/05, May 2005.

B. Kitchenham and S. Charters, “Guidelines for performing systematic literature reviews in software engineering,” Keele University and Durham University, Tech. Rep. EBSE 2007-001, 2007.

N. Görmez, M. Köksalan, and F. S. Salman, “Locating disaster response facilities in istanbul,” J. Oper. Res. Soc., vol. 62, no. 7, pp. 1239–1252, Jul. 2011.

Z. Naji, J. Renaud, A. Ruiz, and M. Salari, “A covering tour approach to the location of satellite distribution centers to supply humanitarian aid,” Eur. J. Oper. Res., vol. 222, no. 3, pp. 596–605, Nov. 2012.

J. Biing, “Dynamic relief-demand management for emergency logistics operations under large-scale disasters,” Transp. Res. Part E Logist. Transp. Rev., vol. 46, no. 1, pp. 1–17, Jan. 2010.

B. Vitoriano, M. T. Ortuno, G. Tirado, and J. Montero, “A multicriteria optimization model for humanitarian aid distribution,” J. Glob. Optim., vol. 51, no. 2, pp. 189–208, Oct. 2011.

R. A. Garrido, P. Lamas, and F. J. Pino, “A stochastic programming approach for floods emergency logistics,” Transp. Res. Part E Logist. Transp. Rev., pp. 18–31, Mar. 2015.

C. G. Rawls and M. A. Turnquist, “Pre-positioning of emergency supplies for disaster response,” Transp. Res. Part B Methodol., vol. 44, no. 4, pp. 521–534, May 2010.

L. Du and S. Peeta, “A Stochastic Optimization Model to Reduce Expected Post-Disaster Response Time Through Pre-Disaster Investment Decisions,” Networks Spat. Econ., vol. 14, no. 2, pp. 271–295, Jun. 2014.

L. Özdamar and O. Demir, “A hierarchical clustering and routing procedure for large scale disaster relief logistics planning,” Transp. Res. Part E Logist. Transp. Rev., vol. 48, no. 3, pp. 591–602, May 2012.

C. Thévenaz and S. L. Resodihardjo, “All the best laid plans…conditions impeding proper emergency respons,” Int. J. Prod. Econ., vol. 126, no. 1, pp. 7–21, Jul. 2010.

J. T. Rodríguez, B. Vitoriano, J. Montero, and V. Kecman, “A disaster-severity assessment DSS comparative analysis,” OR Spectr., vol. 33, no. 3, pp. 451–479, Jul. 2011.

J. T. Rodríguez, B. Vitoriano, J. Montero, and V. Kecman, “Sheltering network planning and management with a case in the gulf coast region,” Int. J. Prod. Econ., vol. 131, no. 2, pp. 431–440, Jun. 2011.

M. Çelik, . Ergun, and P. Keskinocak, “The post-disaster debris clearance problem under incomplete information,” Oper. Res., vol. 63, no. 1, pp. 65–85, Jan. 2015.

K. Onan, F. Ulengin, and B. Sennaroglu, “An evolutionary multiobjective optimization approach to disaster waste management: A case study of istanbul, turkey,” Expert Syst. Appl., vol. 42, no. 22, pp. 8850–8857, Dec. 2015.

S. Yan, C. K. Lin, and S. Y. Chen, “Optimal scheduling of logistical support for an emergency roadway repair work schedule,” Eng. Optim., vol. 44, no. 9, pp. 1035–1055, Dec. 2012.

J. M. Day, “Fostering emergent resilience: the complex adaptive supply network of disaster relief,” Int. J. Prod. Res., vol. 52, no. 7, pp. 1970–1988, 2014.

J. Li, Q. Li, C. Liu, S. U. Khan, and N. Ghani, “Community-based collaborative information system for emergency management,” Comput. Oper. Res., vol. 42, pp. 116–124, Feb. 2014.

S. Mohan, M. Gopalakrishnan, and P. J. Mizzi, “Improving the efficiency of a non-profit supply chain for the food insecureg,” Int. J. Prod. Econ., vol. 143, no. 2, pp. 248–255, Jun. 2013.

N. P. Rachaniotis, T. K. Dasaklis, and C. P. Pappis, “A deterministic resource scheduling model in epidemic control: A case study,” Eur. J. Oper. Res., vol. 216, no. 1, pp. 225–231, Jan. 2012.

M. E. Rancourt, J. F. Cordeau, G. Laporte, and B. Watkins, “Tactical network planning for food aid distribution in kenya,” Comput. Oper. Res., vol. 56, pp. 68–83, Apr. 2015.

S. Duran, M. A. Gutierrez, and P. Keskinocak, “Pre-positioning of emergency items for care international,” Interfaces, vol. 41, no. 3, pp. 223–237, May 2011.

A. Charles and M. Lauras, “An enterprise modelling approach for better optimisation modelling: application to the humanitarian relief chain coordination problem,” OR Spectr., vol. 33, no. 3, pp. 815– 841, Jul. 2011.

I. Akgün, F. Gümüşbuğa, and B. Tansel, “Risk based facility location by using fault tree analysis in disaster management,” Omega, vol. 52, pp. 168–179, Apr. 2015.

M. Besiou, A. J. P. Martinez, and L. N. V. Wassenhove, “Vehicle supply chains in humanitarian operations: Decentralization, operational mix, and earmarked funding,” Prod. Oper. Manag., vol. 23, no. 1, pp. 1950–1965, Nov. 2014.

M. Huang, K. Smilowitz, and B. Balcik, “Models for relief routing: Equity, efficiency and efficacy,” Transp. Res. Part E Logist. Transp. Rev., vol. 48, no. 1, pp. 2–18, Jan. 2012.

O. Ergun, J. L. Heier, P. Keskinocak, and J. L. Swann, “Waffle house restaurants hurricane response: A case study,” Int. J. Prod. Econ., vol. 126, no. 1, pp. 111–120, Jul. 2010.

A. Gatignon, L. N. V. Wassenhove, and A. Charles, “The yogyakarta earthquake: Humanitarian relief through ifrc’s decentralized supply chain,” Int. J. Prod. Econ., vol. 126, no. 1, pp. 102–110, Jul. 2010.

R. Oloruntoba, “An analysis of the cyclone larry emergency relief chain: Some key success factors,” Int. J. Prod. Econ., vol. 126, no. 1, pp. 85–101, Jul. 2010.

A. Martel, A. Benmoussa, M. Chouinard, W. Klibi, and O. Kettani, “Designing global supply networks for conflict or disaster support: the case of the canadian armed forces,” J. Oper. Res. Soc., vol. 64, no. 4, pp. 577–596, Apr. 2013.

N. Noyan, “Risk-averse two-stage stochastic programming with an application to disaster management,” Comput. Oper. Res., vol. 39, no. 3, pp. 541–559, Mar. 2012.

L. N. V. Wassenhove and A. J. Pedraza, “Using OR to adapt supply chain management best practices to humanitarian logistics,” Int. Trans. Oper. Res., vol. 19, no. 1-2, pp. 307–322, Jan. 2012.

J. H. Zhang, J. Li, and Z. P. Liu, “Multiple-resource and multipledepot emergency response problem considering secondary disasters,” Expert Syst. Appl., vol. 39, no. 12, pp. 11 066–11 071, Sep. 2012.

N. Altay, “Capability-based resource allocation for effective disas ter response,” IMA J. Manag. Math., vol. 24, no. 2, pp. 253–266, Apr. 2013.

A. Bozorgi, M. S. Jabalameli, and S. M. J. Mirzapour, “A multiobjective robust stochastic programming model for disaster relief logistics under uncertainty,” OR Spectr., vol. 35, no. 4, pp. 905–933, Nov. 2013.

C. C. Lu, “Robust weighted vertex p-center model considering uncertain data: An application to emergency management,” Eur. J. Oper. Res., vol. 230, no. 1, pp. 113–121, Oct. 2013.

C. C. Lu and J. B. Sheu, “Robust vertex p-center model for locating urgent relief distribution centers,” Comput. Oper. Res., vol. 40, no. 8, pp. 2128–2137, Aug. 2013.

M. G. H. Bell, A. Fonzone, and C. Polyzoni, “Depot location in degradable transport networks,” Transp. Res. Part B Methodol., vol. 66, pp. 148–161, Aug. 2014.

P. Kelle, H. Schneider, and H. Yi, “Decision alternatives between expected cost minimization and worst case scenario in emergency supply-second revision,” Int. J. Prod. Econ., vol. 157, pp. 250–260, Nov. 2014.

C. A. Mackenzie and a. J. R. S. K. Barker, “Modeling a severe supply chain disruption and post-disaster decision making with application to the japanese earthquake and tsunami,” IEE Trans., vol. 46, no. 12, pp. 1243–1260, 2014.

J. B. Sheu and C. Pan, “A method for designing centralized emergency supply network to respond to large-scale natural disasters,” Transp. Res. Part B Methodol., vol. 67, pp. 284–305, Sep. 2014.

D. Khayal, R. Pradhananga, S. Pokharel, and F. Mutlu, “A model for planning locations of temporary distribution facilities for emergency response,” Socioecon. Plann. Sci., vol. 52, pp. 22–30, Dec. 2015.

A. Edrissi, M. Nourinejad, and M. J. Roorda, “Transportation network reliability in emergency response,” Transp. Res. Part E Logist. Transp. Rev., vol. 80, pp. 56–73, Aug. 2015.

X. Hong, M. A. Lejeune, and N. Noyan, “Stochastic network design for disaster preparedness,” IEE Trans., vol. 47, no. 4, pp. 329–357, 2015.

B. Adivar and A. Mert, “International disaster relief planning with fuzzy credibility,” Fuzzy Optim. Decis. Mak., vol. 9, no. 4, pp. 413–433, Dec. 2010.

A. Ben, B. D. Chung, S. R. Mandala, and T. Yao, “Robust optimization for emergency logistics planning: Risk mitigation in humanitarian relief supply chains,” Transp. Res. Part B Methodol., vol. 45, no. 8, pp. 1177–1189, Sep. 2011.

D. R. Bish, “Planning for a bus-based evacuation,” OR Spectrum, vol. 33, no. 3, pp. 629–654, Jul. 2011.

A. W. Ding, “Implementing real-time grouping for fast egress in emergency,” Saf. Sci., vol. 49, no. 10, pp. 1404–1411, Dec. 2011.

Z. H. Hu, “A container multimodal transportation scheduling approach based on immune affinity model for emergency relief,” Expert Syst. Appl., vol. 38, no. 3, pp. 2632–2639, Mar. 2011.

M. T. Ortuño, G. Tirado, and B. Vitoriano, “A lexicographical goal programming based decision support system for logistics of humanitarian aid,” Top, vol. 19, no. 2, pp. 464–479, Dec. 2011.

A. J. Pedraza, O. Stapleton, and L. N. V. Wassenhove, “Field vehicle fleet management in humanitarian operations: A case-based approach,” J. Oper. Manag., vol. 29, no. 5, pp. 404–421, Jul. 2011.

L. Chen and E. Miller, “Optimal team deployment in urban search and rescue,” Transp. Res. Part B Methodol., vol. 46, no. 8, pp. 1984– 999, Sep. 2012.

J. Duanmu, M. Chowdhury, K. Taaffe, and C. Jordan, “Buffering in evacuation management for optimal traffic demand distribution,” Transp. Res. Part E Logist. Transp. Rev., vol. 48, no. 3, pp. 684–700, May 2012.

M. Liu and L. Zhao, “An integrated and dynamic optimisation model for the multi-level emergency logistics network in antibioterrorism system,” Int. J. Syst. Sci., vol. 43, no. 3, pp. 1464–1478, 2012.

D. R. Bish and H. D. Sherali, “Aggregate-level demand management in evacuation planning,” Eur. J. Oper. Res., vol. 224, no. 1, pp. 79–92, Jan. 2013.

J. A. Capote, D. Alvear, O. Abreu, A. Cuesta, and V. Alonso, “A realtime stochastic evacuation model for road tunnels,” Saf. Sci., vol. 52, pp. 73–80, Feb. 2013.

D. R. Bish, H. D. Sherali, and A. G. Hobeika, “Optimal evacuation planning using staging and routing,” J. Oper. Res. Soc., vol. 65, no. 1, pp. 124–140, Jan. 2014.

F. S. Chang, J. S. Wu, C. N. Lee, and H. C. Shen, “Greedy-searchbased multi-objective genetic algorithm for emergency logistics scheduling,” Expert Systems with Applications, vol. 41, no. 6, pp. 2947–2956, 2014.

R. Faturechi and E. Miller-Hooks, “Travel time resilience of roadway networks under disaster,” Transportation Research Part B: Methodological, vol. 70, pp. 47–4, 2014.

M. Goerigk, K. Deghdak, and P. Heßler, “A comprehensive evacuation planning model and genetic solution algorithm,” Transp. Res. Part E Logist. Transp. Rev., vol. 71, pp. 82–97, Nov. 2014.

Z. H. Hu, J. B. Sheu, and L. Xiao, “Post-disaster evacuation and temporary resettlement considering panic and panic spread,” Transp. Res. Part B Methodol., vol. 69, pp. 112–132, Nov. 2014.

M. Najafi, K. Eshghi, and S. de Leeuw, “A dynamic dispatching and routing model to plan/ re-plan logistics activities in response to an earthquake,” OR Spectr., vol. 36, no. 2, pp. 323–356, Mar. 2014.

M. Pen, H. Chen, and M. Zhou, “Modelling and simulating the dynamic environmental factors in post-seismic relief operation,” J. Simul., vol. 8, no. 2, pp. 164–178, 2014.

N. Wagner and V. Agrawal, “An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster,” Expert Syst. Appl., vol. 41, no. 6, pp. 2807–2815, May 2014.

K. Huang, Y. Jiang, Y. Yuan, and L. Zhao, “Modeling multiple humanitarian objectives in emergency response to large-scale disasters,” Transp. Res. Part E Logist. Transp. Rev., vol. 75, pp. 1–17, Mar. 2015.

S. Jin, S. Jeong, J. Kim, and K. Kim, “A logistics model for the transport of disaster victims with various injuries and survival probabilities,” Ann. Oper. Res., vol. 230, no. 1, pp. 17–33, Jul. 2015.

M. Goerigk, B. Grün, and P. Heßler, “Branch and bound algorithms for the bus evacuation problem,” Comput. Oper. Res., vol. 40, no. 12, pp. 301–3020, Dec. 2013.

M. P. Kwan and D. M. Ransberger, “Lidar assisted emergency response: Detection of transport network obstructions caused by major disasters,” Comput. Environ. Urban Syst., vol. 34, no. 3, pp. 179–188, May 2010.

H. S. Na and A. Banerjee, “A disaster evacuation network model for transporting multiple priority evacuees,” IIE Trans., vol. 47, no. 11, pp. 1287–1299, 2015.

J. A. Paul and X. Wang, “Robust optimization for united states department of agriculture food aid bid allocations,” Transp. Res. Part E Logist. Transp. Rev., vol. 82, pp. 129–146, Oct. 2015.

J. C. Rivera, H. M. Afsar, and C. Prins, “A multistart iterated local search for the multitrip cumulative capacitated vehicle routing problem,” Comput. Optim. Appl., vol. 61, no. 1, pp. 159–187, May 2015.

M. Huang, K. R. Smilowitz, and B. Balcik, “A continuous approximation approach for assessment routing in disaster relief,” Transp. Res. Part B Methodol., vol. 50, pp. 20–41, Apr. 2014.

M. Najafi, K. Eshghi, and W. Dullaert, “A multi-objective robust optimization model for logistics planning in the earthquake response phase,” Transp. Res. Part E Logist. Transp. Rev., vol. 49, no. 1, pp. 217–249, Jan. 2013.

A. J. P. Martinez and L. N. V. Wassenhove, “Vehicle replacement in the international committee of the red cross,” Prod. Oper. Manag., vol. 22, no. 2, pp. 365–376, Mar. 2013.

Y. Song and et al., “Crowd evacuation simulation for bioterrorism in micro-spatial environments based on virtual geographic environments,” Saf. Sci., vol. 53, pp. 105–113, Mar. 2013.

X. Zhang, Z. Zhang, Y. Zhang, D. Wei, and Y. Deng, “Route selection for emergency logistics management: A bio-inspired algorithm,” Saf. Sci., vol. 54, pp. 87–91, 2013.

A. M. Anaya, J. Renaud, and A. Ruiz, “Relief distribution networks: a systematic review,” Ann. Oper. Res., vol. 223, no. 1, pp. 53–79, Dec. 2014.

H. M. Asfar, C. Prins, and A. C. Santos, “Exact and heuristic algorithms for solving the generalized vehicle routing problem with flexible fleet size,” Int. Trans. Oper. Res., vol. 21, no. 1, pp. 153–175, Jan. 2014.

R. Abounacer, M. Rekik, and J. Renaud, “An exact solution approach for multi-objective location–transportation problem for disaster response,” Comput. Oper. Res., vol. 41, pp. 83–93, Jan. 2014.

S. Rath and W. J. Gutjahr, “A math-heuristic for the warehouse location-routing problem in disaster relief,” Comput. Oper. Res., vol. 42, pp. 25–39, Feb. 2014.

H. Wang, L. Du, and S. Ma, “Multi-objective open location-routing model with split delivery for optimized relief distribution in postearthquake,” Transp. Res. Part E Logist. Transp. Rev., vol. 69, pp. 160–179, Sep. 2014.

M. Ahmadi, A. Seifi, and B. Tootooni, “A humanitarian logistics model for disaster relief operation considering network failure and standard relief time : A case study on san francisco district,” Transp. Res. Part E Logist. Transp. Rev., vol. 75, pp. 145–163, Mar. 2015.

M. Najafi, R. Z. Farahani, M. P. D. Brito, and W. Dullaert, “Location and distribution management of relief centers: A genetic algorithm approach,” Int. J. Inf. Technol. Decis. Mak., vol. 14, no. 4, pp. 769–803, 2015.

Y. Zhang, M. Qi, W. H. Lin, and L. Miao, “A metaheuristic approach to the reliable location routing problem under disruptions,” Transp. Res. Part E Logist. Transp. Rev., vol. 83, pp. 90–110, Nov. 2015.

A. M. Campbell and P. C. Jones, “Prepositioning supplies in preparation for disasters,” Eur. J. Oper. Res., vol. 209, no. 2, pp. 156–165, Mar. 2011.

R. Das and S. Hanaoka, “Relief inventory modelling with stochastic lead-time and demand,” Eur. J. Oper. Res., vol. 235, no. 3, pp. 616– 623, Jun. 2014.

A. Döyen, N. Aras, and G. Barbarosolu, “A two-echelon stochastic facility locationmodel for humanitarian relief logistics,” Optim. Lett., vol. 6, no. 6, pp. 1123–1145, Aug. 2012.

G. Galindo and R. Batta, “Prepositioning of supplies in preparation for a hurricane under potential destruction of prepositioned supplies,” Socioecon. Plann. Sci., vol. 47, no. 1, pp. 20–37, Mar. 2013.

N. Kunz, G. Reiner, and S. Gold, “Investing in disaster management capabilities versus pre-positioning inventory: A new approach to disaster preparedness,” Int. J. Prod. Econ., vol. 157, pp. 261–272, Nov. 2014.

J. H. McCoy and M. L. Brandeau, “Efficient stockpiling and shipping policies for humanitarian relief: Unhcr’s inventory challenge,” OR Spectr., vol. 33, no. 3, pp. 673–698, Jul. 2011.

M. Pen, Y. Peng, and H. Chen, “Post-seismic supply chain risk management: A system dynamics disruption analysis approach for inventory and logistics planning,” Comput. Oper. Res., vol. 42, pp. 14– 24, Feb. 2014.

B. Rottkemper, K. Fischer, A. Blecken, and C. Danne, “Inventory relocation for overlapping disaster settings in humanitarian operations,” OR Spectr., vol. 33, no. 3, pp. 721–749, Jul. 2011.

J. Salmerón and A. Apte, “Stochastic optimization for natural disaster asset prepositioning,” Prod. Oper. Manag., vol. 19, no. 5, pp. 561–574, Sep. 2010.

S. Taskin and E. J. Lodree, “A bayesian decision model with hurricane forecast updates for emergency supplies inventory management,” J. Oper. Res. Soc., vol. 62, no. 6, pp. 1098–1108, Jun. 2011.

V. S. S. Yadavalli, D. K. Sundar, and S. Udayabaskaran, “Two substitutable perishable product disaster inventory systems,” Ann. Oper. Res., vol. 233, no. 1, pp. 517–534, Oct. 2015.

S. Peeta, F. Sibel, D. Gunnec, and K. Viswanath, “Pre-disaster investment decisions for strengthening a highway network,” Comput. Oper. Res., vol. 37, no. 10, pp. 1708–1719, Oct. 2010.

W. K. Kao, H. M. Chen, and J. S. Chou, “Aseismic ability estimation of school building using predictive data mining models,” Expert Syst. Appl., vol. 38, pp. 10 252–10 263, Aug. 2011.

C. H. Chien, S. N. Yu, Y. J. Huang, and F. C. Chong, “An efficient framework of emergency response to facilitate disaster recovery for fire-damaged medical equipment – case study at a large medical centre after a fire,” Saf. Sci., vol. 49, no. 5, pp. 727–734, Jun. 2011.

Y. Ju, A. Wang, and X. Liu, “Evaluating emergency response capacity by fuzzy AHP and 2-tuple fuzzy linguistic approach,” Expert Syst. Appl., vol. 39, no. 8, pp. 6972–6981, Jun. 2012.

M. Nagarajan, D. Shaw, and P. Albores, “Disseminating a warning message to evacuate: A simulation study of the behaviour of neighbours,” Eur. J. Oper. Res., vol. 220, no. 3, pp. 810–819, Aug. 2012.

Q. Zou and et al., “Fuzzy risk analysis of flood disasters based on diffused-interior-outer-set model,” Expert Syst. Appl., vol. 39, no. 6, pp. 6213–6220, May 2012.

Z. H. Hu and J. B. Sheu, “Post-disaster debris reverse logistics management under psychological cost minimization,” Transp. Res. Part B Methodol., vol. 55, pp. 118–141, Sep. 2013.

G. Preece, D. Shaw, and H. Hayashi, “Using the viable system model (VSM) to structure information processing complexity in disaster response,” Eur. J. Oper. Res., vol. 224, no. 1, pp. 209–218, Jan. 2013.

Y. Ye and N. Liu, “Humanitarian logistics planning for natural disaster response with bayesian information updates,” J. Ind. Manag. Optim., vol. 10, no. 3, pp. 665–689, Aug. 2014.

N. Altay and R. Pal, “Information diffusion among agents: Implications for humanitarian operations,” Prod. Oper. Manag., vol. 23, no. 6, pp. 1015–1027, Jun. 2014.

J. L. Bruyelle and et al., “Improving the resilience of metro vehicle and passengers for an effective emergency response to terrorist attacks,” Saf. Sci., vol. 62, pp. 37–45, Feb. 2014.

W. H. Kang and A. Kliese, “A rapid reliability estimation method for directed acyclic lifeline networks with statistically dependent components,” Reliab. Eng. Syst. Saf., vol. 124, pp. 81–91, Apr. 2014.

F. Wex, G. Schryen, S. Feuerriegel, and D. Neumann, “Emergency response in natural disaster management: Allocation and scheduling of rescue units,” Eur. J. Oper. Res., vol. 235, no. 3, pp. 697–708, Jun. 2014.

D. T. Wilson, G. I. Hawe, G. Coates, and R. S. Crouch, “Evaluation of centralised and autonomous routing strategies in major incident response,” Saf. Sci., vol. 70, pp. 80–88, Dec. 2014.

Y. J. Zheng, H. F. Ling, H. H. Shi, H. S. Chen, and S. Y. Chen, “Emergency railway wagon scheduling by hybrid biogeography-based optimization,” Comput. Oper. Res., vol. 43, pp. 1–8, Mar. 2014.

K. Lassiter, A. Khademi, and K. M. Taaffe, “A robust optimization approach to volunteer management in humanitarian crises,” Int. J. Prod. Econ., vol. 163, pp. 97–111, May 2015.

M. Omidvari, N. Mansouri, and J. Nouri, “A pattern of fire risk assessment and emergency management in educational center laboratories,” Saf. Sci., vol. 73, pp. 34–42, Mar. 2015.

L. Ozdamar and M. A. Ertem, “Models, solutions and enabling technologies in humanitarian logistics,” Eur. J. Oper. Res., vol. 224, no. 1, pp. 55–65, Jul. 2015.

G. Preece, D. Shaw, and H. Hayashi, “Application of the viable system model to analyse communications structures: A case study of disaster response in japan,” Eur. J. Oper. Res., vol. 243, no. 1, pp. 312–322, May 2015.

N. Sahebjamnia, S. A. Torabi, and S. A. Mansouri, “Integrated business continuity and disaster recovery planning: Towards organizational resilience,” Eur. J. Oper. Res., vol. 242, no. 1, pp. 261–273, Apr. 2015.

H. Seppänen and K. Virrantaus, “Shared situational awareness and information quality in disaster management,” Saf. Sci., vol. 77, pp. 112–122, Aug. 2015.

W. J. Gutjahr and P. C. Nolz, “Multicriteria optimization in humanitarian aid,” Eur. J. Oper. Res., vol. 252, no. 2, pp. 351–366, Jul. 2016.

M. Christopher and P. Tatham, Humanitarian Logistics: Meeting the Challenge of Preparing for and Responding to Disasters. London, UK: Kogan Page Publishers, 2011.

A. F. Blecken and B. Hellingrath, “Supply chain management software for humanitarian operations: Review and assessment of current tools,” in 5th International ISCRAM Conference, Washington, USA, 2008, pp. 342–351.

A. Lorca, M. Celik, O. Ergun, and P. Keskinocak, “A decision-support tool for post-disaster debris operations,” Procedia Eng., vol. 107, pp. 154–167, 2015.

L. Ozdamar, “Planning helicopter logistics in disaster relief,” OR Spectr., vol. 33, no. 3, pp. 655–672, Jul. 2011.

S. Chowdhury, A. Emelogu, M. Marufuzzaman, S. G. Nurre, and L. Bian, “Drones for disaster response and relief operations: A continuous approximation model,” Int. J. Prod. Econ., vol. 188, pp. 167– 184, Jun. 2017.

C. A. Thiels, J. M. Aho, S. P. Zietlow, and D. H. Jenkins, “Use of unmanned aerial vehicles for medical product transport,” Air Med. J., vol. 34, no. 2, pp. 104–108, Mar. 2015.

B. Rabta, C. Wankmuller, and G. Reiner, “A drone fleet model for last-mile distribution in disaster relief operations,” Int. J. Disaster Risk Reduct., vol. 28, pp. 107–112, Jun. 2018.

R. Al-Tahir, M. Arthur, and D. Davis, “Low cost aerial mapping alternatives for natural disasters in the caribbean,” in FIG Working Week, Marrakech, Morocco, 2011, p. 050160013.

L. Destro and J. Holguín, “Material convergence and its determinants,” Transp. Res. Rec. J. Transp. Res. Board, vol. 2234, no. 1, pp. 14–21, Jan. 2011.

J. Holguín, M. Jaller, L. N. Van, N. Pérez, and T. Wachtendorf, “Material convergence: Important and understudied disaster phenomenon,” Nat. Hazards Rev., vol. 15, no. 1, pp. 1–12, Feb. 2014.

A. N. Arnette and C. W. Zobel, “Investigation of material convergence in the september 2013 colorado floods,” Nat. Hazards Rev., vol. 17, no. 2, pp. 0501–6001, May 2016.

J. Holguín, N. Pérez, M. Jaller, L. N. Van, and F. Aros-Vera, “On the appropriate objective function for post-disaster humanitarian logistics models,” J. Oper. Manag., vol. 31, no. 5, pp. 262–280, Jul. 2013.

V. Cerullo and M. J. Cerullo, “Business continuity planning: A comprehensive approach,” Inf. Syst. Manag., vol. 21, no. 3, pp. 70–78, Dec. 2006.

C. W. Zobel and L. Khansa, “Characterizing multi-event disaster resilience,” Comput. Oper. Res., vol. 42, pp. 83–94, Feb. 2014.

G. P. Cimellaro, A. M. Reinhorn, and M. Bruneau, “Framework for analytical quantification of disaster resilience,” Eng. Struct., vol. 32, no. 11, pp. 3639–3649, Nov. 2010.

S. Yu, S. W. Kim, C. W. Oh, H. An, and J. M. Kim, “Quantitative assessment of disaster resilience: An empirical study on the importance of post-disaster recovery costs,” Reliab. Eng. Syst. Saf., vol. 137, pp. 6–17, May 2015.

(2014) World urbanization prospects: The 2014 revision. United Nations. Accessed Oct. 25, 2017. [Online]. Available: https: //bit.ly/2GMpqLk




How to Cite

Lamos Díaz, H., Aguilar Imitola, K. J., & Acosta Amado, R. J. (2019). OR/MS research perspectives in disaster operations management: a literature review. Revista Facultad De Ingeniería Universidad De Antioquia, (91), 43–59. https://doi.org/10.17533/10.17533/udea.redin.n91a05