Heuristic Method for the Emergency Water Delivery Problem with Deprivation Costs

Nicolás Giedelmann-L, William J. Guerrero () and Elyn L. Solano Charris
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Nicolás Giedelmann-L: Universidad de La Sabana
William J. Guerrero: Research Group in Logistic Systems, Universidad de La Sabana
Elyn L. Solano Charris: Universidad de La Sabana

A chapter in Operations Research and Analytics in Latin America, 2023, pp 137-148 from Springer

Abstract: Abstract Humanitarian operations are characterized by the need to provide aid to affected populations in an efficient manner for minimizing the effects caused by humanitarian crises. Humanitarian operations include the distribution of aid and scarce resources such as water, medicine, and food, with the total cost of operation being one of the criteria most used by decision-makers and researchers. However, in the last two decades, the inclusion of social costs such as the deprivation cost and equity as part of the decision criteria in these problems has become a trend of great relevance. This research presents a heuristic method to establish a drinking water distribution plan in post-disaster scenarios including the estimation of the deprivation cost experienced by the people affected by humanitarian disasters. Twenty instances are solved based on available information from the department of Cundinamarca, Colombia. Results show superior performance on the drinking water distribution cost by the proposed method versus a commercial optimizer.

Keywords: Humanitarian logistics; Disaster relief; Vehicle routing; Metaheuristics; Deprivation costs; MINLP; Colombia (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-28870-8_11

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DOI: 10.1007/978-3-031-28870-8_11

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