Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peru
Descripción del Articulo
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
| Autores: | , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2021 |
| Institución: | Universidad Peruana de Ciencias Aplicadas |
| Repositorio: | UPC-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorioacademico.upc.edu.pe:10757/653823 |
| Enlace del recurso: | https://doi.org/10.1007/978-3-030-57548-9_40 http://hdl.handle.net/10757/653823 |
| Nivel de acceso: | acceso embargado |
| Materia: | Fleet management Lean Six Sigma Mechanized underground mining Ores transportation Lean production Process engineering Process monitoring Silicon Six sigma Underground mine transportation https://purl.org/pe-repo/ocde/ford#2.11.00 |
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| dc.title.en_US.fl_str_mv |
Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peru |
| title |
Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peru |
| spellingShingle |
Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peru Huaira-Perez, Jorge Fleet management Lean Six Sigma Mechanized underground mining Ores transportation Lean production Process engineering Process monitoring Silicon Six sigma Underground mine transportation https://purl.org/pe-repo/ocde/ford#2.11.00 |
| title_short |
Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peru |
| title_full |
Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peru |
| title_fullStr |
Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peru |
| title_full_unstemmed |
Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peru |
| title_sort |
Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peru |
| author |
Huaira-Perez, Jorge |
| author_facet |
Huaira-Perez, Jorge Llerena-Vargas, Orlando Pehóvaz-Alvarez, Humberto Solis-Sarmiento, Hugo Aramburu-Rojas, Vidal Raymundo, Carlos |
| author_role |
author |
| author2 |
Llerena-Vargas, Orlando Pehóvaz-Alvarez, Humberto Solis-Sarmiento, Hugo Aramburu-Rojas, Vidal Raymundo, Carlos |
| author2_role |
author author author author author |
| dc.contributor.author.fl_str_mv |
Huaira-Perez, Jorge Llerena-Vargas, Orlando Pehóvaz-Alvarez, Humberto Solis-Sarmiento, Hugo Aramburu-Rojas, Vidal Raymundo, Carlos |
| dc.subject.en_US.fl_str_mv |
Fleet management Lean Six Sigma Mechanized underground mining Ores transportation Lean production Process engineering Process monitoring Silicon Six sigma Underground mine transportation |
| topic |
Fleet management Lean Six Sigma Mechanized underground mining Ores transportation Lean production Process engineering Process monitoring Silicon Six sigma Underground mine transportation https://purl.org/pe-repo/ocde/ford#2.11.00 |
| dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#2.11.00 |
| 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. |
| publishDate |
2021 |
| dc.date.accessioned.none.fl_str_mv |
2021-01-11T23:46:09Z |
| dc.date.available.none.fl_str_mv |
2021-01-11T23:46:09Z |
| dc.date.issued.fl_str_mv |
2021-01-01 |
| dc.type.en_US.fl_str_mv |
info:eu-repo/semantics/article |
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http://purl.org/coar/version/c_970fb48d4fbd8a2477 |
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article |
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21903018 |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1007/978-3-030-57548-9_40 |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10757/653823 |
| dc.identifier.eissn.none.fl_str_mv |
21903026 |
| dc.identifier.journal.en_US.fl_str_mv |
Smart Innovation, Systems and Technologies |
| dc.identifier.eid.none.fl_str_mv |
2-s2.0-85098120200 |
| dc.identifier.scopusid.none.fl_str_mv |
SCOPUS_ID:85098120200 |
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0000 0001 2196 144X |
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21903018 21903026 Smart Innovation, Systems and Technologies 2-s2.0-85098120200 SCOPUS_ID:85098120200 0000 0001 2196 144X |
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https://doi.org/10.1007/978-3-030-57548-9_40 http://hdl.handle.net/10757/653823 |
| dc.language.iso.en_US.fl_str_mv |
eng |
| language |
eng |
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https://www.scopus.com/record/display.uri?eid=2-s2.0-85098120200&doi=10.1007%2f978-3-030-57548-9_40&origin=inward&txGid=2a5b8a6481d510815698ec2b2723b8bb |
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info:eu-repo/semantics/embargoedAccess |
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embargoedAccess |
| dc.publisher.none.fl_str_mv |
Springer Science and Business Media Deutschland GmbH |
| publisher.none.fl_str_mv |
Springer Science and Business Media Deutschland GmbH |
| dc.source.es_PE.fl_str_mv |
Universidad Peruana de Ciencias Aplicadas (UPC) Repositorio Académico - UPC |
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reponame:UPC-Institucional instname:Universidad Peruana de Ciencias Aplicadas instacron:UPC |
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Universidad Peruana de Ciencias Aplicadas |
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UPC |
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UPC |
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UPC-Institucional |
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UPC-Institucional |
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Smart Innovation, Systems and Technologies |
| dc.source.volume.none.fl_str_mv |
201 |
| dc.source.beginpage.none.fl_str_mv |
429 |
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438 |
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1ce8bbd3ef97f8b907059a77539f5e41300520fc2f2d933a701694f05f08e1bf1ae3002aba6f0f2393f7b22b0465a7a004519a30033ca00971cd6ccf22336b857c56d15633c2c18274ebf15d91ddeec580cbec89df1b29165990ab4ce165cbf28f5e4ccd9500Huaira-Perez, JorgeLlerena-Vargas, OrlandoPehóvaz-Alvarez, HumbertoSolis-Sarmiento, HugoAramburu-Rojas, VidalRaymundo, Carlos2021-01-11T23:46:09Z2021-01-11T23:46:09Z2021-01-0121903018https://doi.org/10.1007/978-3-030-57548-9_40http://hdl.handle.net/10757/65382321903026Smart Innovation, Systems and Technologies2-s2.0-85098120200SCOPUS_ID:850981202000000 0001 2196 144XEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.Mining activities around the world are undergoing constant change and modernization owing to technological and scientific advancements. Consequently, there are frequent proposals to streamline and enhance processes in mining operations. This study deals with ore transportation in mechanized mining units and aims to optimize fleet management using the Lean Six Sigma methodology to obtain a model in this specific process. The proposed method was implemented using a Lean Six Sigma instrument known as DMAIC (Define, Measure, Analyze, Improve, and Control). The case study was applied to an underground mine located in the Huancavelica region, Peru. The simulation showed that 24% of the time in the ore transport cycle is un-productive time and the improvement potential time represents 53% of the transportation process time.engSpringer Science and Business Media Deutschland GmbHhttps://www.scopus.com/record/display.uri?eid=2-s2.0-85098120200&doi=10.1007%2f978-3-030-57548-9_40&origin=inward&txGid=2a5b8a6481d510815698ec2b2723b8bbinfo:eu-repo/semantics/embargoedAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPCSmart Innovation, Systems and Technologies201429438reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCFleet managementLean Six SigmaMechanized underground miningOres transportationLean productionProcess engineeringProcess monitoringSiliconSix sigmaUnderground mine transportationhttps://purl.org/pe-repo/ocde/ford#2.11.00Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peruinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a2477LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/653823/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/653823oai:repositorioacademico.upc.edu.pe:10757/6538232026-02-17 17:49:18.263Repositorio Académico UPCupc@openrepository.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 |
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13.941347 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).