Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peru
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Authors
Huaira-Perez, JorgeLlerena-Vargas, Orlando
Pehóvaz-Alvarez, Humberto
Solis-Sarmiento, Hugo
Aramburu-Rojas, Vidal
Raymundo, Carlos
Issue Date
2021-01-01Keywords
Fleet managementLean Six Sigma
Mechanized underground mining
Ores transportation
Lean production
Process engineering
Process monitoring
Silicon
Six sigma
Underground mine transportation
Metadata
Show full item recordJournal
Smart Innovation, Systems and TechnologiesDOI
10.1007/978-3-030-57548-9_40Additional Links
https://www.scopus.com/record/display.uri?eid=2-s2.0-85098120200&doi=10.1007%2f978-3-030-57548-9_40&origin=inward&txGid=2a5b8a6481d510815698ec2b2723b8bbAbstract
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.Type
info:eu-repo/semantics/articleOther
Rights
info:eu-repo/semantics/embargoedAccessLanguage
engDescription
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
21903018EISSN
21903026ae974a485f413a2113503eed53cd6c53
10.1007/978-3-030-57548-9_40
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