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

Kevin Rojas; Vidal Aramburú; Edgar Ramos; Carlos Raymundo; Javier M. Moguerza

doi:10.1007/978-3-030-20494-5_34

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

Kevin Rojas, Vidal Aramburú, Edgar Ramos, Carlos Raymundo, Javier M. Moguerza

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2019 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE International Conference on Advanced Production Management and Process Control
Editores	Stefan Trzcielinski, Beata Mrugalska, Waldemar Karwowski
Editorial	Springer Verlag
Páginas	365-375
Número de páginas	11
ISBN (versión impresa)	9783030204938
DOI	https://doi.org/10.1007/978-3-030-20494-5_34
Estado	Publicada - 6 jun. 2019
Evento	AHFE International Conference on Human Aspects of Advanced Manufacturing, 2019 and the AHFE International Conference on Advanced Production Management and Process Control, 2019 - Washington D.C., Estados Unidos Duración: 24 jul. 2019 → 28 jul. 2019

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	971
ISSN (versión impresa)	2194-5357

Conferencia

Conferencia	AHFE International Conference on Human Aspects of Advanced Manufacturing, 2019 and the AHFE International Conference on Advanced Production Management and Process Control, 2019
País/Territorio	Estados Unidos
Ciudad	Washington D.C.
Período	24/07/19 → 28/07/19

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10.1007/978-3-030-20494-5_34

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Rojas, K., Aramburú, V., Ramos, E., Raymundo, C., & Moguerza, J. M. (2019). Six sigma-based optimization model in hauling cut and fill exploitation activities to reduce downtime in underground mines in Peru. En S. Trzcielinski, B. Mrugalska, & W. Karwowski (Eds.), Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2019 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE International Conference on Advanced Production Management and Process Control (pp. 365-375). (Advances in Intelligent Systems and Computing; Vol. 971). Springer Verlag. https://doi.org/10.1007/978-3-030-20494-5_34

Rojas, Kevin ; Aramburú, Vidal ; Ramos, Edgar et al. / Six sigma-based optimization model in hauling cut and fill exploitation activities to reduce downtime in underground mines in Peru. Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2019 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE International Conference on Advanced Production Management and Process Control. editor / Stefan Trzcielinski ; Beata Mrugalska ; Waldemar Karwowski. Springer Verlag, 2019. pp. 365-375 (Advances in Intelligent Systems and Computing).

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

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.",

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Rojas, K, Aramburú, V, Ramos, E , Raymundo, C & Moguerza, JM 2019, Six sigma-based optimization model in hauling cut and fill exploitation activities to reduce downtime in underground mines in Peru. En S Trzcielinski, B Mrugalska & W Karwowski (eds.), Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2019 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE International Conference on Advanced Production Management and Process Control. Advances in Intelligent Systems and Computing, vol. 971, Springer Verlag, pp. 365-375, AHFE International Conference on Human Aspects of Advanced Manufacturing, 2019 and the AHFE International Conference on Advanced Production Management and Process Control, 2019, Washington D.C., Estados Unidos, 24/07/19. https://doi.org/10.1007/978-3-030-20494-5_34

Six sigma-based optimization model in hauling cut and fill exploitation activities to reduce downtime in underground mines in Peru. / Rojas, Kevin; Aramburú, Vidal; Ramos, Edgar et al.
Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2019 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE International Conference on Advanced Production Management and Process Control. ed. / Stefan Trzcielinski; Beata Mrugalska; Waldemar Karwowski. Springer Verlag, 2019. p. 365-375 (Advances in Intelligent Systems and Computing; Vol. 971).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Six sigma-based optimization model in hauling cut and fill exploitation activities to reduce downtime in underground mines in Peru

AU - Rojas, Kevin

AU - Aramburú, Vidal

AU - Ramos, Edgar

AU - Raymundo, Carlos

AU - Moguerza, Javier M.

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2019/6/6

Y1 - 2019/6/6

N2 - 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.

AB - 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.

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M3 - Contribución a la conferencia

AN - SCOPUS:85067412594

SN - 9783030204938

T3 - Advances in Intelligent Systems and Computing

SP - 365

EP - 375

BT - Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2019 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE International Conference on Advanced Production Management and Process Control

A2 - Trzcielinski, Stefan

A2 - Mrugalska, Beata

A2 - Karwowski, Waldemar

PB - Springer Verlag

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Y2 - 24 July 2019 through 28 July 2019

ER -

Rojas K, Aramburú V, Ramos E , Raymundo C, Moguerza JM. Six sigma-based optimization model in hauling cut and fill exploitation activities to reduce downtime in underground mines in Peru. En Trzcielinski S, Mrugalska B, Karwowski W, editores, Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2019 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE International Conference on Advanced Production Management and Process Control. Springer Verlag. 2019. p. 365-375. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-20494-5_34

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

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