A hybrid augmented Lagrangian multiplier method for the open pit mines long-term production scheduling problem optimization

Moosavi, Ehsan; Gholamnejad, Javad; Ataee-pour, Majid; Khorram, Esmaile

doi:10.1134/s1062739114060076

Cited by 11 publications

(2 citation statements)

References 17 publications

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“…Uncertainty based approaches shows practically better result than the traditional approaches in terms of production targets. [99,100]…”

Section: Equipment Selection Post-mining Land Reclamation and Schedul...mentioning

confidence: 99%

Applications, Promises and Challenges of Artificial Intelligence in Mining Industry: A Review

Ghosh¹

2022

Preprint

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<p>To keep up with the new technology modernization and the profit in shake of investors and stakeholders and importantly for the nation, and to ensure health and safety mining industry needs to approve new-age autonomous technologies and intelligent system in their field. Integration of Artificial Intelligence, Machine Learning, Internet of Things (IoT) and Automation are the keys to the 4th revolution in mining industry. This paper presents the overview of recent research upon artificial intelligence enhanced techniques and possibilities in mining operations and mining related domains. There is also a brief about the recent autonomous techniques and equipment in mining industry. Implementations and possibilities of artificial intelligence in safety and accident analysis of mining operations are sincerely detailed. Computer vision and spatial image analysis is also discussed as the recent advancement of deep learning and pattern recognition. Other mining related implementations of intelligent systems includes fragment analysis of ores, intelligent ventilation, on-site mineral processing simplification, digital twinning, mineral exploration, mineral price forecasting, mining equipment selection, post-mining land reclamation and scheduling. This paper also notes the detailed obstacles for implementing intelligent systems in mining industry.</p>

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“…Uncertainty based approaches shows practically better result than the traditional approaches in terms of production targets. [99,100]…”

Section: Equipment Selection Post-mining Land Reclamation and Schedul...mentioning

confidence: 99%

Applications, Promises and Challenges of Artificial Intelligence in Mining Industry: A Review

Ghosh¹

2022

Preprint

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“…However, due to the low scheduling accuracy (or resolution) in enormous decision units, the results are significantly different from the optimal plans, which also reduces the practicality of the results 47,49,52,53 . Therefore, many researchers make use of the unique structure of the mathematical model to reduce the model size with the Lagrange relaxation method and solve the model with other measures and algorithms, such as iteration, decomposition, gradient method, and the Dantzig network flow method [54][55][56][57][58][59][60][61][62][63][64][65][66][67][68] . The biggest obstacle to this approach is the "gap" problem.…”

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confidence: 99%

Enumeration optimization of open pit production scheduling based on mobile capacity search domain

Wang

et al. 2023

Sci Rep

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The optimization of open pit mine production scheduling is not only a multistage decision-making problem but also involves space–time dynamic action among multiple factors, which makes it difficult to optimize production capacity, mining sequence, mining life, and other factors simultaneously in optimizing design. In addition, the production capacity is disorderly expanded, the calculation scale is large, and the optimization time is long. Therefore, this article designs a mobile capacity search domain method to improve computing efficiency without omitting the optimal production capacity. At the same time, taking the maximum net present value as the objective function, an enumeration method is used to optimize the possible paths in different capacity domains and calculate the infrastructure investment and facility idle cost required to meet the maximum production capacity on each possible path to control the disorderly expansion and violent fluctuation of production capacity. The research shows that the open pit mine production scheduling optimization algorithm proposed in this article can not only realize the simultaneous optimization of the three elements of production capacity, mining sequence, and mining life but also improve the computing efficiency by 200 times. Furthermore, the production capacity fluctuation is less than 1.4%. The mining life of the mine is extended by 13 years, and the overall economic benefit is increased by 18%.

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Improving performance of open-pit mine production scheduling problem under grade uncertainty by hybrid algorithms

Tolouei

Moosavi

Tabrizi

et al. 2020

J. Cent. South Univ.

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A hybrid augmented Lagrangian multiplier method for the open pit mines long-term production scheduling problem optimization

Cited by 11 publications

References 17 publications

Applications, Promises and Challenges of Artificial Intelligence in Mining Industry: A Review

Applications, Promises and Challenges of Artificial Intelligence in Mining Industry: A Review

Enumeration optimization of open pit production scheduling based on mobile capacity search domain

Improving performance of open-pit mine production scheduling problem under grade uncertainty by hybrid algorithms

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