Browsing by Author "Montenegro, Daniel"

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Determining the Honduran Basic Food Basket: A Mathematical Approach
(LACCEI Inc., 2020-07) Montenegro, Daniel; Barahona, Luis
Honduras is a country in Central America with both a high poverty and underemployment rate. An essential basic food basket exists and consists of 30 food items that stands at an average of $176.01, nevertheless it was not established considering nutritional requirements. Binary linear programming was utilized to determine a basic food basket that could both fulfill this requirement while doing so with the least possible cost. Two optimization models were created with different constraints to evaluate which offered a better solution both in terms of cost and food item variety. A family of 4 people was considered for the study and 6 scenarios were tested for each of the models with 3 sets of repetitions of food items per month allowed. All scenarios obtained an optimal solution that complied with the constraints given. Scenario 2 which consists of a teen male, teen female, adult male and pregnant female was used to determine the BFB since it was the scenario that required the most amount of nutrients and portions of the diverse food groups. Final basic food basket contained 66 items and had a total cost of $235.86; item variety increased more than double but cost also increased as a side effect.
Linear Programming as a tool to fulfill nutritional requirements using the Honduran Basic Food Basket
(LACCEI, Inc., 2019-07) Montenegro, Daniel
Honduras is a country with a high poverty rate which, amongst other factors, is a key contributor to problems of malnutrition in the population. Linear programming was utilized as a tool to determine the best combination of items of the essential Basic Food Basket (BFB) established by the government in order to fulfill the nutritional requirements of a family unit. In addition to information about the essential BFB, food composition tables and dietary reference intakes as well as upper intake levels were researched in order to formulate the mathematical model. Minimum wage information was also collected as well as food based dietary guidelines for Honduras. Three models were created with varying degrees of constraints and solved utilizing the Solver add in of Microsoft Excel. Optimum solution across all models only chose 33% or less of the food items in the essential BFB; the third model showed that for an average family of 4 the minimum wage is used up almost in its entirety which indicates that the BFB is not affordable for the majority of the population.
Optimización del Proceso de Atención de Pacientes en el Área de Oftalmología del IHSS
(LACCEI Inc., 2020-07) Zablah, Sofía; Montenegro, Daniel
El presente estudio tuvo como objetivo incrementar la meta diaria de atención de pacientes oftalmológicos en el Instituto Hondureño de Seguridad Social (IHSS). Para lograrlo, se apoyó en la herramienta de simulación FlexSim Healthcare, que permite visualizar diferentes escenarios reales en un contexto digital, con el fin de proponer diversas opciones de atención a pacientes con enfermedades crónicas y también aquellas de fácil atención, aplicando la metodología de grupos de morbilidad ajustados (GMA). De los resultados obtenidos de la implementación del GMA se obtuvo que el total de pacientes atendidos es de 88 personas, representando este una mejora del 27.53% en comparación al modelo inicial (69). Asimismo, el método denotó el cumplimiento de la meta diaria establecida de cada médico, ya que se redujo el tiempo de estadía promedio de los pacientes de 204.23minutos a 108.45 minutos, lo cual representa una mejora de tiempo de 46.9% en comparación al modelo inicial.