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Rúa, D., (2017). Modelo matemático para la optimización del sistema de abastecimiento de agregados para proyectos viales [Tesis, Universidad Nacional de Ingeniería]. http://hdl.handle.net/20.500.14076/10052
Rúa, D., Modelo matemático para la optimización del sistema de abastecimiento de agregados para proyectos viales [Tesis]. : Universidad Nacional de Ingeniería; 2017. http://hdl.handle.net/20.500.14076/10052
@misc{renati/708409,
title = "Modelo matemático para la optimización del sistema de abastecimiento de agregados para proyectos viales",
author = "Rúa Ticlavilca, Diego Armando",
publisher = "Universidad Nacional de Ingeniería",
year = "2017"
}
Title: Modelo matemático para la optimización del sistema de abastecimiento de agregados para proyectos viales
Authors(s): Rúa Ticlavilca, Diego Armando
Advisor(s): Ubillús Calmet, Juan Carlos
Issue Date: 2017
Institution: Universidad Nacional de Ingeniería
Abstract: La planificación de un proyecto consta de varias etapas, una de las más importantes es la etapa del abastecimiento de agregados de un proyecto, pues la cantidad de equipos que se utilizan y el costo que esto implica es considerable, por ende, aumentar la productividad de esta etapa es importante en la ejecución de un proyecto. Para alcanzar este propósito, se desarrollan temas como: la investigación de operaciones, modelos matemáticos, algoritmos matemáticos, agregados de construcción, transporte y distribución.
Los problemas de transporte se resuelven optimizando los flujos en una red de transporte, los algoritmos resuelven dichos flujos de transporte considerando varios orígenes y varios destinos. La función que describe el flujo de transporte es una función lineal con restricciones lineales, los parámetros involucrados en los problemas de transporte son: los requerimientos de agregados del proyecto, las ofertas de agregados de las canteras y el costo de transporte. En esta tesis, se implementó el algoritmo de las 2 fases para optimizar el sistema de abastecimiento de agregados, dicho algoritmo permite conocer la cantidad de unidades que se deben transportar desde las canteras hacia las obras, de manera que disminuya el costo de transporte. Las consideraciones adoptadas se condensaron en un software desarrollado en el entorno Dev-C++, en este software llamado MMOSAA-17, se diseñaron secciones de ingreso de datos, procesamiento intermedio y visualización de resultados.
Este software se implementó en el proyecto Vías Nuevas de Lima, en la obra Ramiro Prialé, que contaba con 3 canteras y 6 subtramos, para esto se cuantificó la cantidad de agregados ofertados por las canteras, la demanda de agregados de los subtramos y el costo de transporte. El resultado fue la optimización del flujo de transporte, minimizando el costo de transporte en 7.46% (aplicación parcial), además, se pudo generar una disminución del costo de transporte de hasta 11.57% (aplicación total).
El modelo matemático y el software desarrollado permitirán aumentar las oportunidades de mejorar la productividad y disminuir los costos en los proyectos donde se requieran del abastecimiento de agregados u otros materiales de construcción.
The planning of a project consists of several stages, one of the most important is the stage of supplying aggregates of a project, since the amount of equipment used and the cost involved is considerable, therefore, increase the productivity of this stage is important in the execution of a project. To achieve this purpose, topics such as: operations research, mathematical models, mathematical algorithms, construction aggregates, transport and distribution are developed. The transport problems are solved by optimizing the flows in a transport network, the algorithms solve the transport flows considering several origins and several destinations. The function that describes the transport flow is a linear function with linear constraints, the parameters involved in transport problems are: the requirement of aggregates of the project, the supply of aggregates of the quarries and the cost of transportation. In this thesis, the algorithm of the 2 phases was implemented to optimize the system of supply of aggregates, this algorithm allows to know the quantity of units that must be transported from the quarries to the works, in a way that reduces the cost of transport. The considerations adopted were condensed into a software developed in the Dev-C ++ environment, in this software called MMOSAA-17, sections were designed for data entry, intermediate processing and visualization of results. This software was implemented in the Vías Nuevas de Lima project, in the Ramiro Prialé project, which had 3 quarries and 6 sub-tracts, for which quantified the quantity of aggregates offered by the quarries, the demand for aggregates of sub-tracts and the cost of transport. The result was the optimization of transport flow, minimizing transport costs by 7.46% (partial application) and it was possible to generate a decrease of transport costs of up to 11.57% (total application). The mathematical model and the software developed will increase the opportunities to improve productivity and reduce costs in projects where the supply of aggregates or other construction materials is required.
The planning of a project consists of several stages, one of the most important is the stage of supplying aggregates of a project, since the amount of equipment used and the cost involved is considerable, therefore, increase the productivity of this stage is important in the execution of a project. To achieve this purpose, topics such as: operations research, mathematical models, mathematical algorithms, construction aggregates, transport and distribution are developed. The transport problems are solved by optimizing the flows in a transport network, the algorithms solve the transport flows considering several origins and several destinations. The function that describes the transport flow is a linear function with linear constraints, the parameters involved in transport problems are: the requirement of aggregates of the project, the supply of aggregates of the quarries and the cost of transportation. In this thesis, the algorithm of the 2 phases was implemented to optimize the system of supply of aggregates, this algorithm allows to know the quantity of units that must be transported from the quarries to the works, in a way that reduces the cost of transport. The considerations adopted were condensed into a software developed in the Dev-C ++ environment, in this software called MMOSAA-17, sections were designed for data entry, intermediate processing and visualization of results. This software was implemented in the Vías Nuevas de Lima project, in the Ramiro Prialé project, which had 3 quarries and 6 sub-tracts, for which quantified the quantity of aggregates offered by the quarries, the demand for aggregates of sub-tracts and the cost of transport. The result was the optimization of transport flow, minimizing transport costs by 7.46% (partial application) and it was possible to generate a decrease of transport costs of up to 11.57% (total application). The mathematical model and the software developed will increase the opportunities to improve productivity and reduce costs in projects where the supply of aggregates or other construction materials is required.
Link to repository: http://hdl.handle.net/20.500.14076/10052
Discipline: Ingeniería Civil
Grade or title grantor: Universidad Nacional de Ingeniería. Facultad de Ingeniería Civil
Grade or title: Ingeniero Civil
Register date: 5-Apr-2018
This item is licensed under a Creative Commons License