Methodology for prioritizing the delivery of humanitarian aid in the context of a COVID-19 pandemic using the QFD Fuzzy tool
DOI:
https://doi.org/10.22335/rlct.v13i2.1371Keywords:
Humanitarian Aid, COVID-19, Priorization, Decision Making, QFD FuzzyAbstract
The impact of the disruption caused by Covid-19 has generated in local governments, multiple challenges related to decision-making, such as prioritizing affected families according to their level of vulnerability to guarantee an equitable allocation of humanitarian aid. This article proposes a methodological framework based on the fuzzy quality function deployment method (QFD Fuzzy) to prioritize families affected by Covid-19 considering variables such as coverage of affected populations, deprivation times, cost efficiency and delivery security. The proposed methodology is tested using synthetic data obtained from a sample of 1000 families in order to establish the order of care of the population in a city in the Center of Valle del Cauca. This document establishes a strategy that offers a government greater effectiveness in making decisions to attend a health emergency such as COVID-19, which supports the humanitarian intention involved in this management. In any case, it is necessary to insist that it is not a methodology that can be static, for which it is necessary to force it to read in a pertinent way the new variables that may arise as indicators of vulnerability. This is presented as supplementary future research.
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