Concurrent simulation and optimization models for mining planning

Fioroni, Marcelo Moretti; Franzese, Luiz Augusto G.; Bianchi, Tales Jefferson; Ezawa, Luiz; Pinto, Luiz Ricardo; Miranda, Gilberto de

doi:10.1109/wsc.2008.4736138

Cited by 26 publications

(24 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This system is similar to existing ones [2,9,12]. An interesting aspect of an open-pit mining truck dispatch simulator is that it can reproduce the mine characteristics as it executes the vehicle dispatch plan [13]. The simulation system developed has an interface that receives the mining scenario to be simulated, the set of trucks in operation, and the sequence of dispatches that will be received by each truck.…”

Section: Simulation Systemmentioning

confidence: 99%

Multi-objective evolutionary algorithms for the truck dispatch problem in open-pit mining operations

Alexandre¹,

Campelo²,

Vasconcelos³

2019

Learn. Nonlin. Mod.

View full text Add to dashboard Cite

This work is concerned with the efficient allocation of trucks to shovels in operation at open-pit mines. As this problem involves high-value assets, namely mining trucks and shovels, any improvement obtained in terms of operational efficiency can result in considerable financial savings. Thus, this work presents multi-objective strategies for solving the problem of dynamically allocating a heterogeneous fleet of trucks in an open-pit mining operation, aiming at maximizing production and minimizing costs, subject to a set of operational and physical constraints. Two Multi-objective Genetic Algorithms (MOGAs) were specially developed to address this problem: the first uses specialized crossover and mutation operators, while the second employs Path-Relinking as its main variation engine. Four test instances were constructed based on real open-pit mining scenarios, and used to validate the proposed methods. The two MOGAs were compared to each other and against a Greedy Heuristic (GH), suggesting of of the MOGAs as a potential strategy for solving the multi-objective truck dispatch problem for open-pit mining operations.

show abstract

Section: Simulation Systemmentioning

confidence: 99%

Multi-objective evolutionary algorithms for the truck dispatch problem in open-pit mining operations

Alexandre¹,

Campelo²,

Vasconcelos³

2019

Learn. Nonlin. Mod.

View full text Add to dashboard Cite

show abstract

“…Software implemented to study railway related problems are: RailSys [2], SIMUL8 [14], SIMONE [16], Open Track [17] and ROMA [17]. Also, Arena software has been used for used to study rail related applications [4], [10] and [15]. Although Arena is not a specific package for railway this has a variety of features that allow its use in different railway analyses or the specific studies in the rail yards [19].…”

Section: Literature Reviewmentioning

confidence: 99%

“…1). According to the method proposed by [3] and [10], the development of a conceptual model is an important step in a simulation study. In railroads, for example, there is high degree of complexity in the movement of trains in the network because the decisions that are made to resolve problems often are not standardised.…”

Section: The Conceptual Model For Vmr Simulatormentioning

confidence: 99%

Simulation Modelling of Vitória-Minas Closed-Loop Rail Network

Faria

Cruz

2017

Transport Problems

View full text Add to dashboard Cite

Summary. This paper presents a closed loop simulation model that represents the mining logistics chain of the Vitória Minas Railway (VMR), Brazil. The simulator includes the loading process, circulation of loaded trains, unloading of ores for external and internal markets and the distribution of empty trains for new loads. General cargo and passengers trains are also included in the model, which, along with the queues formed in the circulation and the preventive and corrective maintenance of rolling stock, tracks and equipment, interfere with the transportation of iron ore. The primary objective of the iron ore transport is to meet the daily loading and unloading schedules and minimize queues by maximizing the operations at the loading and unloading points. The VMR simulator developed uses macro-mesoscopic approach with Monte Carlo simulation. To validate the simulator, we used actual data of the railway and compared with reality. We obtained a very good adhesion to the value of 2.9% for the validation scenario (Scenario 1) and 3.4% for the scenario with reducing the number of lots of wagons (Scenario 2). We concluded with this simulation that it is possible to reduce the number of GDE wagons without reducing the current level of productivity of the rail system. MODELAGEM DE SIMULAÇÃO DO CIRCUITO FECHADO DA FERROVIA VITÓRIA À MINASResumo. Este artigo apresenta o modelo de simulação do circuito fechado da rede logística de minério de ferro da ferrovia Vitória Á Minas (VMR), Brasil. O simulador inclui o processo de carregamento, circulação dos trens carregados, descarregamento para os mercados externos e internos e a distribuição dos trens vazios para novos carregamentos. Os trens de carga geral e de passageiros também foram incluídos no modelo, bem como suas filas de formação e as manutenções preventivas e corretivas do material rodante, que interferem no transporte do minério de ferro. O principal objetivo do transporte de minério de ferro é atender as programações de carregamento e descarregamento e minimizar as filas maximizando as operações nos pontos de carregamento e descarregamento. O simulador VMR desenvolvido utiliza uma abordagem macro-mesoscópica de simulação de Monte Carlo. Para validar o simulador, foi utilizado dados da ferrovia e comparado com a realidade. Obtivemos uma aderência muito de 2,9% para o cenário de validação (cenário 1) e 3,4% para o cenário com a redução do número de lotes de vagão (cenário 2). Concluímos que com esta simulação é possível reduz o número de lotes de vagões GDE sem reduzir a produtividade da ferrovia.

show abstract

“…Gurgur et al [4] proposed a LP model for short-term planning, but do not consider mine operations in detail. Fioroni et al [5] proposed a simulation optimisation model to generate short-term mine plans over monthly resolution. Their model does not consider any mining precedence constraints limiting it to run over shorter time horizons.…”

Section: Introductionmentioning

confidence: 99%

Dynamic shovel allocation approach to short-term production planning in open-pit mines

Upadhyay

Askari–Nasab

2017

International Journal of Mining, Reclamation and Environment

View full text Add to dashboard Cite

Mining optimization laboratory (Mol), university of alberta, edmonton, canada ABSTRACT The complexity and uncertainties associated with mining operations often lead to deviations from short-term plans. A proactive approach will predict such deviations and help minimise opportunity losses, providing economic and operational gains. This paper presents an optimisation tool as a dynamic shovel allocation decision-maker for mining operation simulation models. The objectives of the optimisation tool are to provide shovel allocations to mining faces in order to maximise production, meet desired head grade and tonnage at the crushers, and minimise shovel movements. This paper presents the development and implementation of the optimisation tool with an iron ore mine case study.

show abstract

Concurrent simulation and optimization models for mining planning

Cited by 26 publications

References 5 publications

Multi-objective evolutionary algorithms for the truck dispatch problem in open-pit mining operations

Multi-objective evolutionary algorithms for the truck dispatch problem in open-pit mining operations

Simulation Modelling of Vitória-Minas Closed-Loop Rail Network

Dynamic shovel allocation approach to short-term production planning in open-pit mines

Contact Info

Product

Resources

About