Presentation of a multi-index clustering technique for the mathematical programming of block-cave scheduling

Nezhadshahmohammad, Farshad; Pourrahimian, Yashar; Aghababaei, H.

doi:10.1016/j.ijmst.2017.11.005

Cited by 8 publications

(3 citation statements)

References 13 publications

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“…However, the proposed algorithm creates oversize TopCones at the bottom level of the pit which may lead to the infeasibility of the IP model. Nezhadshahmohammad et al (2018) proposed a MILP model to optimize the extraction sequence of drawpoints over multiple time horizons in block-cave mines with respect to the draw control systems. They presented a multi-similarity index clustering technique for solving the model in a rational timeframe.…”

Section: Review Of Literaturementioning

confidence: 99%

A new mathematical model for the optimization of block aggregation in open pit mines

Aalian,

Mousavi,

Bsiri

2022

Mining Technology: Transactions of the Institutions of Mining a

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The open-pit production planning is one of the most important steps of mine design which becomes a hard and challenging optimization problem in large-scale mineral deposits. A common approach in such a situation is to cluster mining blocks (smallest mining units) into larger units. In this paper, an integer non-linear programming model of the constrained block clustering is developed with the objective of minimizing grade deviations while blocks are geometrically connected within a cluster and the shape and size of individual clusters are in the pre-defined range. Then, a population-based iterated local search algorithm is presented to solve this nonlinear model and find a near-optimum solution. The proposed model and the solution approach were applied to a case study of a gold and silver deposit with 40,947 blocks. The mining blocks are grouped into 1966 clusters which then mine planner can solve production scheduling in less computational time.

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Section: Review Of Literaturementioning

confidence: 99%

A new mathematical model for the optimization of block aggregation in open pit mines

Aalian,

Mousavi,

Bsiri

2022

Mining Technology: Transactions of the Institutions of Mining a

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“…The objectives of the model were presented as a maximization of the Net Smelter Return (NSR) along with other individual objectives of Volatility, Value at Risk, Conditional Value at Risk, and deviation from the planned production target. Nezhadshahmohammad et al (2018) presented a multi-index clustering approach to decrease the solution time in order to optimize the sequence of the extraction using the MILP method. Nezhadshahmohammad et al (2018) considered the geotechnical constraints in addition to mining capacity, production grade, maximum number of active drawpoint, maximum activity life along with continues extraction.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Nezhadshahmohammad et al (2018) presented a multi-index clustering approach to decrease the solution time in order to optimize the sequence of the extraction using the MILP method. Nezhadshahmohammad et al (2018) considered the geotechnical constraints in addition to mining capacity, production grade, maximum number of active drawpoint, maximum activity life along with continues extraction. Castro et al (2018) implemented a multivariate logistic regression method to quantify the wet muck entry for long-term mine planning.…”

Section: Literature Reviewmentioning

confidence: 99%

Simultaneous multi-sector block cave mine production scheduling considering operational uncertainties

et al. 2021

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The main objective of this study is to provide a practical and near-optimal mine production schedule for block caving operations considering operational uncertainty. The problem is defined in the context of goal programming optimization to meet the operational objectives, including tonnage and grade as daily production targets. The considered operational constraints include drawpoints and ore pass design, draw rate, mine production, and transportation capacities in different operational levels, tonnage and grade constraints, and mine production targets in the presence of several mining sectors. The developed model is verified and validated using historical operational data obtained from an actual block caving operation. The practicality and flexibility of the framework are examined through three different operational scenarios and compared with the real block caving operation mine plans and historical production data.

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A Deviation-Minimization Approach to Short-Term Underground Mine Schedule Optimization

Amoako,

Chowdu,

Brickey

2023

Mining, Metallurgy & Exploration

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Presentation of a multi-index clustering technique for the mathematical programming of block-cave scheduling

Cited by 8 publications

References 13 publications

A new mathematical model for the optimization of block aggregation in open pit mines

A new mathematical model for the optimization of block aggregation in open pit mines

Simultaneous multi-sector block cave mine production scheduling considering operational uncertainties

A Deviation-Minimization Approach to Short-Term Underground Mine Schedule Optimization

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