Bibliographic citations
Wong, J., (2019). Modelo probabilístico del transporte de mineral en el tajo Raúl Rojas de la unidad minera Paragsha en Cerro de Pasco, región del Perú [Tesis, Universidad Nacional de Ingeniería]. http://hdl.handle.net/20.500.14076/18159
Wong, J., Modelo probabilístico del transporte de mineral en el tajo Raúl Rojas de la unidad minera Paragsha en Cerro de Pasco, región del Perú [Tesis]. : Universidad Nacional de Ingeniería; 2019. http://hdl.handle.net/20.500.14076/18159
@misc{renati/264365,
title = "Modelo probabilístico del transporte de mineral en el tajo Raúl Rojas de la unidad minera Paragsha en Cerro de Pasco, región del Perú",
author = "Wong Villena, Javier",
publisher = "Universidad Nacional de Ingeniería",
year = "2019"
}
This investigation establishes the theoretical framework to be applied to the engineering of mines, using probabilistic mathematical models with the help of discrete event-event simulation languages. These simulation languages utilize the Central Limit Theorem of A. Liapounov, the Colas theory and the methods of Monte Carlo and Von Neumann among others. The probabilistic mathematical model which is presented in this study was designed and programmed using the student version of GPSS World applied to open pit mineral transport operations. This model has been developed in order to reproduce and study the operation of mineral transport during an eight hour work shift. Through this model we are able to simulate the production of tons of minerals and estimate the percentage of usage of cargo equipment such as shovels and front loaders. We will also be able to estimate the number of trucks that can be found in queue for each cycle of loading and unloading. The model will also be able to include the probability of malfunction or error of cargo equipment and transportation equipment such as shovels and trucks. This mathematical model can be used for designing new routes and transportation fleets amongst other things. In other words, this model could be used as a tool that predicts the behavior of future mineral transport operations in the eld of surface mining. This project has been developed by the Transportation Group of the Peruvian Center of Geostatistics and was lead by the main professor of geostatistics and mining systems analysis, Ph. D. Alfredo Marín Suárez from the Faculty of Geological, Miner and Metallurgical Engineering of the Mining College at the National University of Engineering. In addition to myself, the students who participated in the project were: Dino Cano, Eder De La Cruz and Juan Huaraz. All of us share the same code of 2002-1 FIGMM. The data was taken towards the end of April 2007 under the supervision of the manager of operations with the authorization of the U.E.A. VOLCAN.
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