SciELO - Scientific Electronic Library Online

 
vol.4 número2Bioacumulación de metales pesados en tejidos de vegetación acuática y terrestre evaluados en áreas donde existen pasivos ambientales mineros en el PerúEvaluación de riesgos de pasivos ambientales mineros en la comunidad de Condoraque - Puno índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay articulos similaresSimilares en SciELO

Compartir


Revista de Medio Ambiente y Mineria

versión impresa ISSN 2519-5352

Resumen

NAVARRO TORRES, Vidal Félix  y  MORAES, Edilaila. Innovative optimization of iron ore blending in daily mine planning from a linear programming model. REV. MAMYM [online]. 2019, vol.4, n.2, pp.37-42. ISSN 2519-5352.

Abstract: This work aims to develop models and algorithms to mine planning to explore opportunities for better use of mineable reserves, seeking to optimize economic and quality objectives, in an integrated way. The research methodology aims to understand the mine planning processes and tools applied, and to identify requirements that guide the development of mathematical models to support the decisions to reuse opportunity materials (i.e. materials before considered as waste can be reevaluated due to changes in mining plans, processing technologies more evolved, increase in commodity prices, etc.)  and minimizing the variability of ROM grades in short-term planning. Analysis of operational configurations that support greater flexibility in the handling and storage of opportunity materials were also held in order to enable an objective comparison between the economic benefits of the approach and the costs and investments involved.

Palabras clave : daily; mine planning; optimization; linear programming.

        · resumen en Español     · texto en Inglés     · Inglés ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons