Continuous Improvement Model under the Lean Six Sigma and KPIs approach to reduce unproductive times in the loading and hauling stage in surface mining

  • Angelica Alexia Da Silva Vallejo
  • , Francisco Jesus Grados Acosta
  • , Carlos Raymundo Ibanez
  • , Vidal Sixto Aramburu Rojas

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This article shows us how the Lean Six Sigma (LSS) methodology, within the operational management of small and medium-sized mining companies, promotes the development of a new evaluation method aimed at reducing unproductive times in one or more operations. However, this study only seeks to implement this methodology in the stages of cleaning, hauling, and transportation. While Lean and Six Sigma methodologies are different tools, they are often combined to reduce waste, non-value-added activities, and process variability in order to achieve desired levels of operational efficiency. This work provides useful and significant information to unveil the maximum value obtained from the implementation of the LSS methodology in the development of this new method, as it not only provides a comprehensive diagnosis of the evaluated operations but also a quantitative estimation of the potential improvement levels that could be achieved if implemented correctly.

Idioma originalInglés
Título de la publicación alojada2023 9th International Conference on Innovation and Trends in Engineering, CONIITI 2023 - Proceedings
EditoresJenny Paola Hernandez Triana
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350369465
DOI
EstadoPublicada - 2023
Evento9th International Conference on Innovation and Trends in Engineering, CONIITI 2023 - Bogota, Colombia
Duración: 4 oct. 20236 oct. 2023

Serie de la publicación

Nombre2023 9th International Conference on Innovation and Trends in Engineering, CONIITI 2023 - Proceedings

Conferencia

Conferencia9th International Conference on Innovation and Trends in Engineering, CONIITI 2023
País/TerritorioColombia
CiudadBogota
Período4/10/236/10/23

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