Six sigma-based optimization model in hauling cut and fill exploitation activities to reduce downtime in underground mines in Peru
dc.contributor.author | Rojas, Kevin | |
dc.contributor.author | Aramburú, Vidal | |
dc.contributor.author | Ramos, Edgar | |
dc.contributor.author | Raymundo, Carlos | |
dc.contributor.author | Moguerza, Javier M. | |
dc.date.accessioned | 2021-06-01T12:13:47Z | |
dc.date.available | 2021-06-01T12:13:47Z | |
dc.date.issued | 2019-06-06 | |
dc.identifier.issn | 21945357 | |
dc.identifier.doi | 10.1007/978-3-030-20494-5_34 | |
dc.identifier.uri | http://hdl.handle.net/10757/656285 | |
dc.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. | en_US |
dc.description.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. | en_US |
dc.format | application/html | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer Verlag | en_US |
dc.relation.url | https://link.springer.com/chapter/10.1007/978-3-030-20494-5_34 | en_US |
dc.rights | info:eu-repo/semantics/embargoedAccess | en_US |
dc.source | Universidad Peruana de Ciencias Aplicadas (UPC) | es_PE |
dc.source | Repositorio Académico - UPC | es_PE |
dc.subject | Downtimes | en_US |
dc.subject | Dumper | en_US |
dc.subject | Hauling | en_US |
dc.subject | Overhand cut and fill | en_US |
dc.subject | Productivity | en_US |
dc.subject | Six sigma | en_US |
dc.title | Six sigma-based optimization model in hauling cut and fill exploitation activities to reduce downtime in underground mines in Peru | en_US |
dc.type | info:eu-repo/semantics/article | en_US |
dc.identifier.journal | Advances in Intelligent Systems and Computing | en_US |
dc.identifier.eid | 2-s2.0-85067412594 | |
dc.identifier.scopusid | SCOPUS_ID:85067412594 | |
dc.source.journaltitle | Advances in Intelligent Systems and Computing | |
dc.source.volume | 971 | |
dc.source.beginpage | 365 | |
dc.source.endpage | 375 | |
dc.identifier.isni | 0000 0001 2196 144X |