Location-Allocation of Relief Service Facilities: A Case Study for Bogotá - Colombia

Natalia Chacón-Tibaduiza; Diana C. Guzmán-Cortés; Juan Carlos Figueroa-García; Carlos Franco

doi:10.1007/978-3-031-74598-0_1

Location-Allocation of Relief Service Facilities: A Case Study for Bogotá - Colombia

Natalia Chacón-Tibaduiza
, Diana C. Guzmán-Cortés
, Juan Carlos Figueroa-García
, Carlos Franco

Research output: Chapter in Book/Inform › Chapter › Research

Abstract

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.

Original language	English
Title of host publication	Applied Computer Sciences in Engineering - 11th Workshop on Engineering Applications, WEA 2024, Proceedings
Editors	Juan Carlos Figueroa-García, Elvis Eduardo Gaona García, German Hernández, Diego Fernando Suero Pérez
Pages	3-14
Number of pages	12
ISBN (Electronic)	978-3-031-74598-0
DOIs	https://doi.org/10.1007/978-3-031-74598-0_1
State	Published - 2025

Publication series

Name	Communications in Computer and Information Science
Volume	2223 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-3-031-74598-0_1

Cite this

Chacón-Tibaduiza, N., Guzmán-Cortés, D. C., Figueroa-García, J. C., & Franco, C. (2025). Location-Allocation of Relief Service Facilities: A Case Study for Bogotá - Colombia. In J. C. Figueroa-García, E. E. Gaona García, G. Hernández, & D. F. Suero Pérez (Eds.), Applied Computer Sciences in Engineering - 11th Workshop on Engineering Applications, WEA 2024, Proceedings (pp. 3-14). (Communications in Computer and Information Science; Vol. 2223 CCIS). https://doi.org/10.1007/978-3-031-74598-0_1

Chacón-Tibaduiza, Natalia ; Guzmán-Cortés, Diana C. ; Figueroa-García, Juan Carlos et al. / Location-Allocation of Relief Service Facilities: A Case Study for Bogotá - Colombia. Applied Computer Sciences in Engineering - 11th Workshop on Engineering Applications, WEA 2024, Proceedings. editor / Juan Carlos Figueroa-García ; Elvis Eduardo Gaona García ; German Hernández ; Diego Fernando Suero Pérez. 2025. pp. 3-14 (Communications in Computer and Information Science).

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abstract = "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 Bogot{\'a}-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.",

author = "Natalia Chac{\'o}n-Tibaduiza and Guzm{\'a}n-Cort{\'e}s, \{Diana C.\} and Figueroa-Garc{\'i}a, \{Juan Carlos\} and Carlos Franco",

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Chacón-Tibaduiza, N, Guzmán-Cortés, DC, Figueroa-García, JC & Franco, C 2025, Location-Allocation of Relief Service Facilities: A Case Study for Bogotá - Colombia. in JC Figueroa-García, EE Gaona García, G Hernández & DF Suero Pérez (eds), Applied Computer Sciences in Engineering - 11th Workshop on Engineering Applications, WEA 2024, Proceedings. Communications in Computer and Information Science, vol. 2223 CCIS, pp. 3-14. https://doi.org/10.1007/978-3-031-74598-0_1

Location-Allocation of Relief Service Facilities: A Case Study for Bogotá - Colombia. / Chacón-Tibaduiza, Natalia; Guzmán-Cortés, Diana C.; Figueroa-García, Juan Carlos et al.
Applied Computer Sciences in Engineering - 11th Workshop on Engineering Applications, WEA 2024, Proceedings. ed. / Juan Carlos Figueroa-García; Elvis Eduardo Gaona García; German Hernández; Diego Fernando Suero Pérez. 2025. p. 3-14 (Communications in Computer and Information Science; Vol. 2223 CCIS).

Research output: Chapter in Book/Inform › Chapter › Research

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AU - Franco, Carlos

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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.

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Chacón-Tibaduiza N, Guzmán-Cortés DC, Figueroa-García JC, Franco C. Location-Allocation of Relief Service Facilities: A Case Study for Bogotá - Colombia. In Figueroa-García JC, Gaona García EE, Hernández G, Suero Pérez DF, editors, Applied Computer Sciences in Engineering - 11th Workshop on Engineering Applications, WEA 2024, Proceedings. 2025. p. 3-14. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-74598-0_1