Short-term planning of a work shift for open-pit mines : a case study.
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Date
2023
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Abstract
This work deals with the short-term planning problem of a work shift for
open-pit mines. The problem involves ore and waste fronts, shovels, heterogeneous
truck fleets, and discharge points. The allocation of trucks is dynamic to allow
multiple routes to be assigned to each truck. The problem consists of deciding which
fronts must be mined and establishing the number of trucks, their routes, and the
amount of material transported by them to each discharge point, satisfying
a stripping ratio at the desired level. The objectives are to minimize the deviations
from the targets for production, chemical grade, and particle size range of each
control parameter at each plant and reduce the number of trucks needed for the
process. To solve the problem, we developed a mixed-integer linear goal program-
ming model and tested it using real data from an iron ore mine. The results showed
that the proposed approach supports decision-makers in the sizing and allocation of
truck fleets and in meeting the production and control parameter targets required
by the ore processing plants according to the daily scenario, such as low availability
of shovels and trucks, flexibility in ore quality, and need for increased production.
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Keywords
Blending, Truck allocation, Mixed-integer linear programming, Goal programming
Citation
SILVA JÚNIOR, A. L. da et al. Short-term planning of a work shift for open-pit mines: a case study. Cogent Engineering, v. 10, n. 1, artigo 2168172, 2023. Disponível em: <https://doi.org/10.1080/23311916.2023.2168172>. Acesso em: 06 jul. 2023.