TY - CHAP
T1 - Location-Allocation of Relief Service Facilities: A Case Study for Bogotá - Colombia
AU - Chacón-Tibaduiza, Natalia
AU - Guzmán-Cortés, Diana C.
AU - Figueroa-García, Juan Carlos
AU - Franco, Carlos
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - Effective resource allocation during natural disasters and response strategies are crucial to mitigate impacts and save lives. This paper presents a comprehensive mathematical model, which is designed to optimize disaster response operations. The proposed model integrates various components, including the demand for different types of relief services, facilities distributed by zones, as well as the assessment of resource requirements, and optimization of the location capacities per zone. We propose the use of mixed-integer linear programming (MILP), where we propose three different objective functions. The model was tested over a real case in Bogotá-Colombia and we evaluate different scenarios to analyze the performance of the model and obtained results. The proposed framework offers a strategic tool for policymakers and emergency managers to enable data-driven decision-making in disaster preparedness and response planning.
AB - Effective resource allocation during natural disasters and response strategies are crucial to mitigate impacts and save lives. This paper presents a comprehensive mathematical model, which is designed to optimize disaster response operations. The proposed model integrates various components, including the demand for different types of relief services, facilities distributed by zones, as well as the assessment of resource requirements, and optimization of the location capacities per zone. We propose the use of mixed-integer linear programming (MILP), where we propose three different objective functions. The model was tested over a real case in Bogotá-Colombia and we evaluate different scenarios to analyze the performance of the model and obtained results. The proposed framework offers a strategic tool for policymakers and emergency managers to enable data-driven decision-making in disaster preparedness and response planning.
UR - https://www.scopus.com/pages/publications/85207831601
UR - https://www.scopus.com/pages/publications/85207831601#tab=citedBy
U2 - 10.1007/978-3-031-74598-0_1
DO - 10.1007/978-3-031-74598-0_1
M3 - Capítulo
SN - 978-3-031-74597-3
T3 - Communications in Computer and Information Science
SP - 3
EP - 14
BT - Applied Computer Sciences in Engineering - 11th Workshop on Engineering Applications, WEA 2024, Proceedings
A2 - Figueroa-García, Juan Carlos
A2 - Gaona García, Elvis Eduardo
A2 - Hernández, German
A2 - Suero Pérez, Diego Fernando
ER -
