Implementación de la filosofía Lean Six Sigma en la minería para optimizar la fortificación mecanizada en las excavaciones horizontales 2023

Descripción del Articulo

The research applied the Lean Six Sigma methodology, DMAIC cycle, to optimize mechanized support on the 745 Bypass in the face of geomechanical instability, reported as a critical problem by the customer. The objective was to design and validate a comprehensive strategy to reduce variability and inc...

Descripción completa

Detalles Bibliográficos
Autor: Ccatamayo Barrios, Johnny Henrry
Formato: artículo
Fecha de Publicación:2025
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:revistasinvestigacion.unmsm.edu.pe:article/32328
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/iigeo/article/view/32328
Nivel de acceso:acceso abierto
Materia:Lean Six Sigma
DMAIC
machine support
safety factors
numerical modeling
sostenimiento mecanizado
factores de seguridad
modelamiento numérico
Descripción
Sumario:The research applied the Lean Six Sigma methodology, DMAIC cycle, to optimize mechanized support on the 745 Bypass in the face of geomechanical instability, reported as a critical problem by the customer. The objective was to design and validate a comprehensive strategy to reduce variability and increase efficiency in structural stability, using indicators such as monthly frequency of rockfalls, percentage of surface area affected by unstable wedges, and overall safety factors (OSF). Initial assessments showed a mean convergence depth of 2.76 cm, although Ppk = 0.37 and Cpk = 0.34 indicated an inability to maintain specifications (base value >1.33). Massif conditions in Zone 4 were characterized by structural systems (N23°E/74°NW) and an RMR range of 48–64, corresponding to domains of fair to acceptable quality. Analyses indicated induced stresses of 9 to 18 MPa in section S1 and safety factors close to 1.2, revealing high operational risk. In terms of intact rock physical properties, porosity ranged from 0.319% to 0.640% and dry density from 2.779 to 4.850 g/cm³, confirming the heterogeneity of the massif. Improvement activities were prioritized based on cause-and-effect analysis: FLAC3D modeling and macro and micro simulations identified critical actions to control instability, collapse risk, and oversizing in support (technical gap, shotcrete thickness, and validated installation methods). The discussion concluded that the application of the Lean Six Sigma approach, validated by numerical and physical modeling, allowed for increased operational safety and efficiency, with high safety factors after the intervention and a proven reduction in variability.
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).