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Six sigma-based optimization model in hauling cut and fill exploitation activities to reduce downtime in underground mines in Peru

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Authors
Rojas, Kevin
Aramburú, Vidal
Ramos, Edgar
Raymundo, Carlos
Moguerza, Javier M.
Issue Date
2019-06-06
Keywords
Downtimes
Dumper
Hauling
Overhand cut and fill
Productivity
Six sigma

Metadata
Show full item record
Publisher
Springer Verlag
Journal
Advances in Intelligent Systems and Computing
URI
http://hdl.handle.net/10757/656285
DOI
10.1007/978-3-030-20494-5_34
Additional Links
https://link.springer.com/chapter/10.1007/978-3-030-20494-5_34
Abstract
In the mining industry, the mining cycle is a very important part in the operating stage of every mining unit. Through the exploitation method used, the mining cycle provides mineral ore, which subsequently undergoes various metallurgical processes and its commercialization and thereby generates profits to the mining company. Currently, within this cycle, the hauling and transportation stages are those that have a lower efficiency with respect to the drilling and blasting stages. Therefore, the sector is always seeking effective ways to optimize these processes, reduce downtime and increase productivity. Six Sigma is a technique that allows for the continuous process improvement. In this study, the factors that generate inefficiency in the hauling cycle are determined, and alternatives are implemented to solve the main problem and improve the operations cycle.
Type
info:eu-repo/semantics/article
Rights
info:eu-repo/semantics/embargoedAccess
Language
eng
Description
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
ISSN
21945357
ae974a485f413a2113503eed53cd6c53
10.1007/978-3-030-20494-5_34
Scopus Count
Collections
Ingeniería de Gestión Minera

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