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Tool for Decision Making in Humanitarian Logistics Chains

Tool for Decision Making in Humanitarian Logistics Chains

Irineu de Brito Junior, Ernesto Guerrero, Juan Machuca, Mario Chong
Copyright: © 2019 |Pages: 14
ISBN13: 9781522581604|ISBN10: 152258160X|EISBN13: 9781522581611
DOI: 10.4018/978-1-5225-8160-4.ch020
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MLA

Junior, Irineu de Brito, et al. "Tool for Decision Making in Humanitarian Logistics Chains." Handbook of Research on Urban and Humanitarian Logistics, edited by Jesus Gonzalez-Feliu, et al., IGI Global, 2019, pp. 379-392. https://doi.org/10.4018/978-1-5225-8160-4.ch020

APA

Junior, I. D., Guerrero, E., Machuca, J., & Chong, M. (2019). Tool for Decision Making in Humanitarian Logistics Chains. In J. Gonzalez-Feliu, M. Chong, J. Vargas Florez, & J. Padilla Solis (Eds.), Handbook of Research on Urban and Humanitarian Logistics (pp. 379-392). IGI Global. https://doi.org/10.4018/978-1-5225-8160-4.ch020

Chicago

Junior, Irineu de Brito, et al. "Tool for Decision Making in Humanitarian Logistics Chains." In Handbook of Research on Urban and Humanitarian Logistics, edited by Jesus Gonzalez-Feliu, et al., 379-392. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8160-4.ch020

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Abstract

This chapter develops a decision support tool with a focus on the humanitarian logistic chain in a crisis environment considering process drivers' constraints such as costs, capacity, and throughput time. For instance, elements to reduce the suffering of the affected families, by using an adequate supply support for the first 72 critical hours. The authors will focus on minimizing the risks of shortages in the first response supplies in a high flood probability zone in Peru. This research presents different scenarios and it analyzes the representative variables (demand, civil defense warehouses, points of distribution, distance and logistics resources), the humanitarian chain value, and the effective distribution of the aid in the affected areas with efficient operations that balance between the economic and operative resources in this recurrent logistical problem. The results present three crisis situations with a distribution plan and a base of a public policy to prevent a crisis.

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