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

Universidad Peruana de Ciencias Aplicadas
Universidad Rey Juan Carlos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	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
Editors	Stefan Trzcielinski, Beata Mrugalska, Waldemar Karwowski
Publisher	Springer Verlag
Pages	365-375
Number of pages	11
ISBN (Print)	9783030204938
DOIs	https://doi.org/10.1007/978-3-030-20494-5_34
State	Published - 6 Jun 2019
Event	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., United States Duration: 24 Jul 2019 → 28 Jul 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	971
ISSN (Print)	2194-5357

Conference

Conference	AHFE International Conference on Human Aspects of Advanced Manufacturing, 2019 and the AHFE International Conference on Advanced Production Management and Process Control, 2019
Country/Territory	United States
City	Washington D.C.
Period	24/07/19 → 28/07/19

Keywords

Downtimes
Dumper
Hauling
Overhand cut and fill
Productivity
Six sigma

Access to Document

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

Cite this

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. In 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).

@inproceedings{d3e8167a74dc4c83a2028dddc8523217,

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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author = "Kevin Rojas and Vidal Arambur{\'u} and Edgar Ramos and Carlos Raymundo and Moguerza, \{Javier M.\}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; AHFE International Conference on Human Aspects of Advanced Manufacturing, 2019 and the AHFE International Conference on Advanced Production Management and Process Control, 2019 ; Conference date: 24-07-2019 Through 28-07-2019",

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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. in 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., United States, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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KW - Overhand cut and fill

KW - Productivity

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

M3 - Contribución a la conferencia

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SN - 9783030204938

T3 - Advances in Intelligent Systems and Computing

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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

T2 - AHFE International Conference on Human Aspects of Advanced Manufacturing, 2019 and the AHFE International Conference on Advanced Production Management and Process Control, 2019

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. In Trzcielinski S, Mrugalska B, Karwowski W, editors, 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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