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Six Sigma-Based Optimization Model in Hauling Cut and Fill Exploitation Activities to Reduce Downtime in Underground Mines in Peru

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Advances in Manufacturing, Production Management and Process Control (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 971))

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

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Rojas, K., Aramburú, V., Ramos, E., Raymundo, C., Moguerza, J.M. (2020). Six Sigma-Based Optimization Model in Hauling Cut and Fill Exploitation Activities to Reduce Downtime in Underground Mines in Peru. In: Karwowski, W., Trzcielinski, S., Mrugalska, B. (eds) Advances in Manufacturing, Production Management and Process Control. AHFE 2019. Advances in Intelligent Systems and Computing, vol 971. Springer, Cham. https://doi.org/10.1007/978-3-030-20494-5_34

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  • DOI: https://doi.org/10.1007/978-3-030-20494-5_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20493-8

  • Online ISBN: 978-3-030-20494-5

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