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Transportation in disaster response operations

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  • Berkoune, Djamel
  • Renaud, Jacques
  • Rekik, Monia
  • Ruiz, Angel

Abstract

Disasters are extraordinary situations that require significant logistical deployment to transport equipment and humanitarian goods in order to help and provide relief to victims. An efficient response helps to reduce the social, economic and environmental impacts. In this paper, we define and formulate a practical transportation problem often encountered by crisis managers in emergency situations. Since optimal solutions to such a formulation may be achieved only for very small-size instances, we developed an efficient genetic algorithm to deal with realistic situations. This algorithm produces near optimal solutions in relatively short computation times and is fast enough to be used interactively in a decision-support system, providing high-quality transportation plans to emergency managers.

Suggested Citation

  • Berkoune, Djamel & Renaud, Jacques & Rekik, Monia & Ruiz, Angel, 2012. "Transportation in disaster response operations," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 23-32.
    • Handle: RePEc:eee:soceps:v:46:y:2012:i:1:p:23-32
    DOI: 10.1016/j.seps.2011.05.002
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    Cited by:

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    3. Ferrer, José M. & Martín-Campo, F. Javier & Ortuño, M. Teresa & Pedraza-Martínez, Alfonso J. & Tirado, Gregorio & Vitoriano, Begoña, 2018. "Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications," European Journal of Operational Research, Elsevier, vol. 269(2), pages 501-515.
    4. Rivera-Royero, Daniel & Galindo, Gina & Yie-Pinedo, Ruben, 2016. "A dynamic model for disaster response considering prioritized demand points," Socio-Economic Planning Sciences, Elsevier, vol. 55(C), pages 59-75.
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    6. Daniel A. Griffith & Bradley Boehmke & Randy V. Bradley & Benjamin T. Hazen & Alan W. Johnson, 2019. "Embedded analytics: improving decision support for humanitarian logistics operations," Annals of Operations Research, Springer, vol. 283(1), pages 247-265, December.
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    8. A. Anaya-Arenas & J. Renaud & A. Ruiz, 2014. "Relief distribution networks: a systematic review," Annals of Operations Research, Springer, vol. 223(1), pages 53-79, December.
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    14. Xiangyang Guan & Cynthia Chen & Dan Work, 2016. "Tracking the Evolution of Infrastructure Systems and Mass Responses Using Publically Available Data," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-17, December.
    15. Maliheh Khorsi & Seyed Kamal Chaharsooghi & Ali Husseinzadeh Kashan & Ali Bozorgi-Amiri, 2022. "Solving the humanitarian multi-trip cumulative capacitated routing problem via a grouping metaheuristic algorithm," Annals of Operations Research, Springer, vol. 319(1), pages 173-210, December.
    16. Rivera-Royero, Daniel & Galindo, Gina & Yie-Pinedo, Ruben, 2020. "Planning the delivery of relief supplies upon the occurrence of a natural disaster while considering the assembly process of the relief kits," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    17. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
    18. Pramanik, Sutapa & Jana, Dipak Kumar & Maiti, Manoranjan, 2016. "Bi-criteria solid transportation problem with substitutable and damageable items in disaster response operations on fuzzy rough environment," Socio-Economic Planning Sciences, Elsevier, vol. 55(C), pages 1-13.
    19. Rodríguez-Espíndola, Oscar & Ahmadi, Hossein & Gastélum-Chavira, Diego & Ahumada-Valenzuela, Omar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel, 2023. "Humanitarian logistics optimization models: An investigation of decision-maker involvement and directions to promote implementation," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    20. Caunhye, Aakil M. & Zhang, Yidong & Li, Mingzhe & Nie, Xiaofeng, 2016. "A location-routing model for prepositioning and distributing emergency supplies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 161-176.
    21. Gai, Wen-mei & Deng, Yun-feng & Jiang, Zhong-an & Li, Jing & Du, Yan, 2017. "Multi-objective evacuation routing optimization for toxic cloud releases," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 58-68.
    22. Sachin Modgil & Rohit Kumar Singh & Cyril Foropon, 2022. "Quality management in humanitarian operations and disaster relief management: a review and future research directions," Annals of Operations Research, Springer, vol. 319(1), pages 1045-1098, December.
    23. Christophe Duhamel & Andréa Cynthia Santos & Daniel Brasil & Eric Châtelet & Babiga Birregah, 2016. "Connecting a population dynamic model with a multi-period location-allocation problem for post-disaster relief operations," Annals of Operations Research, Springer, vol. 247(2), pages 693-713, December.
    24. Neiler Medina & Yared Abayneh Abebe & Arlex Sanchez & Zoran Vojinovic, 2020. "Assessing Socioeconomic Vulnerability after a Hurricane: A Combined Use of an Index-Based approach and Principal Components Analysis," Sustainability, MDPI, vol. 12(4), pages 1-31, February.

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