A NEW TECHNIQUE BASED ON ANT COLONY OPTIMIZATION FOR DESIGNING MINING PUSHBACKS IN THE PRESENCE OF GEOLOGICAL UNCERTAINTY

An essential task in the open-pit mine optimizing process is determining the extraction time of material located in the ultimate pit, considering some operational and economic constraints. The proper design of pushbacks has a significant impact on the optimum production planning. On the other hand,...

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Bibliographic Details
Published in:Rudarsko-geološko-naftni zbornik 2023-01, Vol.38 (1), p.105-117
Main Authors: Gilani, Seyyed-Omid, Moosazadeh, Sayfoddin, Poormirzaee, Rashed
Format: Article
Language:English
Subjects:
Algorithms
Ant colony optimization
Deviation
geological uncertainty
Geology
Hedyotis schlechtendahliana
Impact analysis
Koji
open pit mine
Open pit mining
Optimization
Production planning
pushback design
Risk management
Statistical analysis
stochastic optimization
Uncertainty
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Summary:An essential task in the open-pit mine optimizing process is determining the extraction time of material located in the ultimate pit, considering some operational and economic constraints. The proper design of pushbacks has a significant impact on the optimum production planning. On the other hand, some uncertainty sources such as in-situ grade cause both deviations from production and financial goals. This paper presents an extension of a multi-stage formulation for risk-based pushback designing that utilizes the ant colony optimization (ACO) algorithm to solve it. For more detailed studies, two different strategies were developed according to statistical and probabilistic issues. The data of Songun copper mine located in NW Iran was used to evaluate the ability of the proposed approach in controlling the risk of deviation from production targets and increasing the project value. The results indicated the effectiveness of the proposed approach in pushback designing based on geological uncertainty. Examining different strategies showed that the technique based on multiple probability produces better solutions.
ISSN:1849-0409
0353-4529
1849-0409
DOI:10.17794/rgn.2023.1.10