Citas bibligráficas
Chuctaya, D., Larota, M. (2020). Optimización de carguío y transporte en tiempo real mediante el software Jmineops en minería superficial – caso de estudio [Trabajo de suficiencia profesional, Universidad Tecnológica del Perú]. https://hdl.handle.net/20.500.12867/2816
Chuctaya, D., Larota, M. Optimización de carguío y transporte en tiempo real mediante el software Jmineops en minería superficial – caso de estudio [Trabajo de suficiencia profesional]. PE: Universidad Tecnológica del Perú; 2020. https://hdl.handle.net/20.500.12867/2816
@misc{sunedu/3033713,
title = "Optimización de carguío y transporte en tiempo real mediante el software Jmineops en minería superficial – caso de estudio",
author = "Larota Chara, Maria Elena",
publisher = "Universidad Tecnológica del Perú",
year = "2020"
}
The thesis entitled “Optimization of loading and transport in real time through the Jmineops Software - Case study, working under a general objective of optimizing the loading of transport of minerals in real time with the application of Jmineops software, being a thesis of Applied type , descriptive; With Quasi experimental research design and a comparative analytical research method, concluding that the optimization of loading and transportation with the application of Jmineops software in the Software operating system, Queue% 3% has been reduced with the In order to reduce the time that it finds waiting for the transport equipment in the freight of freight and Hang% of 10% this indicates the time that the freight equipment is waiting for the arrival of a hauling equipment was evaluated 2014 until 2018 These data are considered optimal for the Mine, in the initial commissioning period considering the actual times and distances existing in the mining infrastructure of Mina, this is seen in Figure 22 and Figure 23, through the use of Jmineops Software Jigsaw, to achieve a production of 525 000 TMD. In the months of 2017, the implementation of the dynamic system and cost calculations for the Mine. Until March 10, 2018 there has been an average Hang% of 15.6%, even above the optimal Hang% of 10% this indicates that having a hang above the optimum there is economic loss for the mining company. With an investment of US $ 180,144 in support of the system in the field. The approximate annual Savings will be 11'281,944 US $ / Year, for working in dynamic and reducing the queues, a Queue% of 1.13% to 0.74% that are less than 3.00% with the automation has been obtained, we hope that the system allows compliance with a production of 525 000 TMD of minerals. Jmineops Jigsaw with which it is possible to optimize the transport and loading.
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