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Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peru

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 201))

Abstract

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.

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Correspondence to Carlos Raymundo .

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Huaira-Perez, J., Llerena-Vargas, O., Pehóvaz-Alvarez, H., Solis-Sarmiento, H., Aramburu-Rojas, V., Raymundo, C. (2021). Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peru. In: Iano, Y., Arthur, R., Saotome, O., Kemper, G., Padilha França, R. (eds) Proceedings of the 5th Brazilian Technology Symposium. BTSym 2019. Smart Innovation, Systems and Technologies, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-030-57548-9_40

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  • DOI: https://doi.org/10.1007/978-3-030-57548-9_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57547-2

  • Online ISBN: 978-3-030-57548-9

  • eBook Packages: EngineeringEngineering (R0)

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