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Humanitarian Logistics Prioritization Models: A Systematic Literature Review

Author

Listed:
  • María Fernanda Carnero Quispe

    (Production Engineering Department, Polytechnic School, University of São Paulo—USP, São Paulo 05508-010, Brazil)

  • Amanda Silveira Couto

    (Production Engineering Department, São Paulo State University, Bauru 17033-360, Brazil)

  • Irineu de Brito Junior

    (Production Engineering Department, São Paulo State University, Bauru 17033-360, Brazil
    Environmental Engineering Department, São Paulo State University, São José dos Campos 12247-004, Brazil)

  • Luiza Ribeiro Alves Cunha

    (Production Engineering Department, Polytechnic School, University of São Paulo—USP, São Paulo 05508-010, Brazil)

  • Regiane Máximo Siqueira

    (Production Engineering Department, São Paulo State University, Bauru 17033-360, Brazil)

  • Hugo Tsugunobu Yoshida Yoshizaki

    (Production Engineering Department, Polytechnic School, University of São Paulo—USP, São Paulo 05508-010, Brazil)

Abstract

Background: Disasters have caused suffering across the world throughout history. Different types of disaster events can manifest themselves in different ways, originating from natural phenomena, human actions and their interconnected interactions. In recent years, organizations in charge of disaster management have faced a series of challenges in humanitarian logistics, leading to an increasing consideration of the use of models of prioritization, in most multi-criteria models, to define the best alternatives for more assertive and strategic decision-making. Methods: This article aims to conduct a systematic review of the literature on the application of prioritization models in humanitarian logistics. To this end, an analysis was carried out of 40 articles, indexed in the Scopus or Web of Science databases. Results: The descriptive analysis revealed that the majority of applications are aimed at dealing with sudden-onset natural-induced disasters. However, there are still gaps in relevant areas, such as addressing inventory management problems at a tactical decision level. Conclusions : The development of prioritization models necessitates the integration of various methodologies, combining optimization models with multi-criteria decision analysis to yield superior outcomes. It is advised to incorporate four distinct criteria—efficiency, effectiveness, equity, and sustainability—to ensure a comprehensive assessment of the decision-making process.

Suggested Citation

  • María Fernanda Carnero Quispe & Amanda Silveira Couto & Irineu de Brito Junior & Luiza Ribeiro Alves Cunha & Regiane Máximo Siqueira & Hugo Tsugunobu Yoshida Yoshizaki, 2024. "Humanitarian Logistics Prioritization Models: A Systematic Literature Review," Logistics, MDPI, vol. 8(2), pages 1-20, June.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:2:p:60-:d:1410833
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    References listed on IDEAS

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    1. Ruth Banomyong & Paitoon Varadejsatitwong & Richard Oloruntoba, 2019. "A systematic review of humanitarian operations, humanitarian logistics and humanitarian supply chain performance literature 2005 to 2016," Annals of Operations Research, Springer, vol. 283(1), pages 71-86, December.
    2. Manuela Nappi & João Souza, 2015. "Disaster management: hierarchical structuring criteria for selection and location of temporary shelters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(3), pages 2421-2436, February.
    3. Saeideh Maleki & Abbas Miri & Vahid Rahdari & Deirdre Dragovich, 2021. "A method to select sites for sand and dust storm source mitigation: case study in the Sistan region of southeast Iran," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 64(12), pages 2192-2213, July.
    4. 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.
    5. Gutjahr, Walter J. & Nolz, Pamela C., 2016. "Multicriteria optimization in humanitarian aid," European Journal of Operational Research, Elsevier, vol. 252(2), pages 351-366.
    6. Amir Jamali & Amirhossein Ranjbar & Jafar Heydari & Sina Nayeri, 2022. "A multi-objective stochastic programming model to configure a sustainable humanitarian logistics considering deprivation cost and patient severity," Annals of Operations Research, Springer, vol. 319(1), pages 1265-1300, December.
    7. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    8. Muhammad Salman Habib & Biswajit Sarkar, 2017. "An Integrated Location-Allocation Model for Temporary Disaster Debris Management under an Uncertain Environment," Sustainability, MDPI, vol. 9(5), pages 1-26, April.
    9. José M. Ferrer & M. Teresa Ortuño & Gregorio Tirado, 2016. "A GRASP metaheuristic for humanitarian aid distribution," Journal of Heuristics, Springer, vol. 22(1), pages 55-87, February.
    10. Jean-Claude Baraka Munyaka & Venkata Seshachala Sarma Yadavalli, 2021. "Decision support framework for facility location and demand planning for humanitarian logistics," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(1), pages 9-28, February.
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