Bibliographic citations
Salgado, L., Núñez, D. (2021). Mejora de la gestión de la productividad de la flota de carguío y acarreo U.M Cuajone, mediante la aplicación de la metodología Six Sigma para disminuir las demoras operativas en el relevo del personal [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/659078
Salgado, L., Núñez, D. Mejora de la gestión de la productividad de la flota de carguío y acarreo U.M Cuajone, mediante la aplicación de la metodología Six Sigma para disminuir las demoras operativas en el relevo del personal [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/659078
@misc{renati/398608,
title = "Mejora de la gestión de la productividad de la flota de carguío y acarreo U.M Cuajone, mediante la aplicación de la metodología Six Sigma para disminuir las demoras operativas en el relevo del personal",
author = "Núñez Ramírez , Diego Armando",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
The present research work was carried out at the Southern Peru Mining Unit Cuajone Company and its purpose was to minimize unproductive times in the process of the Shift Change that operates loading and hauling fleet inside the mine applying the Six Sigma methodology. The methodological procedure applied in the improvement of the productivity management of the loading and hauling fleet was based on the application of the Six Sigma methodology from the collection and analysis of data in the office and in the field. In the initial stage of the office the data from the JMineOps fleet management system was collected and the information was revalidated in the field with the most significant unproductive times of the shift change. In the final phase of the cabinet the information extracted from the previous and new process of the shift change was analyzed. The evaluation of the times between activities and starting tonnage in the different shifts was carried out since it is a fundamental parameter to include to be able to evaluate how productivity is affected in the first hour of the shift. According to the analysis, the most significant delays of the operation were Waiting in the transport bay, Iddle Personnel, Safety Talk and Screen Review for the assignment of equipment that meant 37%, 59%, 77% and 84% respectively of total delays. The results were favorable, the operational delays present in the first hour of each shift were reduced. This allowed to quantify the tons that were not moved due to the duration of the delays in the first hour of the shift, being 1062 tons of ore and 3938 tons of waste approximately per shift. The start-up production was increased by 2000 tons of ore per day, which is equivalent to daily earnings of $14,348 and $5,236,985 per year. In addition, the start-up of operations was optimized and automated, thereby reducing operational delays in personnel replacement and increasing the physical availability of the fleet of shovels and dump trucks by 2.5%, shovel utilization by 1.6% and dump truck utilization by 1.4%.
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