Earthquake Decision-Making Tool for Humanitarian Logistics Network: An Application in Popayan, Colombia

Helmer Paz-Orozco (), Irineu de Brito Junior, Mario Chong, Yesid Anacona-Mopan, Jhon Alexander Segura Dorado and Mariana Moyano
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Helmer Paz-Orozco: Facultad de Ingeniería, Corporación Universitaria Comfacauca-Unicomfacauca, Popayán 190001, Colombia
Irineu de Brito Junior: Environmental Engineering Department, São Paulo State University, São José dos Campos 12247-004, Brazil
Mario Chong: School of Business Engineering, Universidad del Pacifico, Lima 15072, Peru
Yesid Anacona-Mopan: Facultad de Ingeniería, Corporación Universitaria Comfacauca-Unicomfacauca, Popayán 190001, Colombia
Jhon Alexander Segura Dorado: Facultad de Ingeniería, Corporación Universitaria Comfacauca-Unicomfacauca, Popayán 190001, Colombia
Mariana Moyano: School of Business Engineering, Universidad del Pacifico, Lima 15072, Peru

Logistics, 2023, vol. 7, issue 4, 1-18

Abstract: Background : This study presents a comprehensive methodology for enhancing humanitarian logistics planning and management in natural disasters, focusing on earthquakes. Methods : The innovative approach combines a deterministic mathematical model with a simulation model to address the problem from multiple perspectives, aiming to improve efficiency and equity in post-disaster supply distribution. In the deterministic modeling phase, optimal locations for humanitarian distribution centers and points in Popayan, Colombia, were identified, enabling efficient resource allocation for affected families. Subsequently, the simulation model evaluated scenarios based on real earthquakes in Colombia and Latin America, providing a comprehensive view of the logistics system’s response capacity to different disaster conditions and magnitudes. Results : The results demonstrated that the proposed methodology significantly reduced supply delivery time, achieving a 30% improvement compared to traditional humanitarian logistics approaches. Moreover, it led to a more equitable coverage of affected communities, with a 25% increase in families served in previously underserved areas. Expert validation from the Disaster Risk Management Committee of the study area confirmed the methodology’s usefulness for informed and effective decision-making in real situations. Conclusions: This integrated approach of mathematical modeling and discrete event simulation offers valuable insights to address disaster management and support decision-making in humanitarian crises.

Keywords: humanitarian logistics; disaster management; post-disaster relief logistics; redistribution; simulation discrete; logistics; optimization; mixed-integer programming; modeling (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlogis:v:7:y:2023:i:4:p:68-:d:1252574

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