@inproceedings{06dfe024a9fd4ce088742095d450d1dd,
title = "Six sigma model optimized for reducing downtime in an open-pit mine",
abstract = "Currently, in open-pit mining operations, the highest cost among all processes is that of transporting trucks, whether in fuel, roads, tires, or spare parts, among other factors. Therefore, this article proposes the use of the Six Sigma methodology of continuous improvement as a quality management tool to reduce the downtime of the truck fleet to obtain better productivity in operations. The results of the investigation in the case study allowed to visualize that with the election of an optimal fleet appropriate for the conditions given in a mining project, the values of productivity and efficiency improve considerably. This is reflected in a better use of the machinery and in the reduction of unproductive times.",
keywords = "Dead times, Haulage, Open-pit mine, Six sigma",
author = "Josemaria Gargate and Fung, \{Sian A.\} and Juan Jara and Carlos Raymundo",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 4th Brazilian Technology Symposium, BTSym 2018 ; Conference date: 23-10-2018 Through 25-10-2018",
year = "2019",
doi = "10.1007/978-3-030-16053-1\_51",
language = "Ingl{\'e}s",
isbn = "9783030160524",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "523--531",
editor = "Yuzo Iano and Loschi, \{Hermes Jos{\'e}\} and Rangel Arthur and Osamu Saotome and \{Vieira Estrela\}, V{\^a}nia",
booktitle = "Proceedings of the 4th Brazilian Technology Symposium (BTSym{\textquoteright}18) - Emerging Trends and Challenges in Technology",
}