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

• Published in: Logistics 2023-12, Vol.7 (4), p.68
• Main Authors: Paz-Orozco, Helmer, de Brito Junior, Irineu, Chong, Mario, Anacona-Mopan, Yesid, Segura Dorado, Jhon Alexander, Moyano, Mariana
• Format: Article
• Language: English
• Subjects: Analysis; Decision making; disaster management; Disasters; Earthquakes; Emergency management; Emergency preparedness; Forest & brush fires; Human influences; Humanitarian aid; humanitarian logistics; Humanitarianism; Influence; Literature reviews; Logistics; Methods; post-disaster relief logistics; Production planning; redistribution; Resource allocation; Risk management; Simulation; simulation discrete; Simulation methods; Social science research; Storm damage; Supplies; Supply chains
• ISSN: 2305-6290; 2305-6290
• DOI: 10.3390/logistics7040068

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.