A linkage of truck-and-shovel operations to short-term mine plans using discrete-event simulation

Torkamani, Elmira; Nasab, Hooman Askari

doi:10.1504/ijmme.2015.070367

Cited by 35 publications

(13 citation statements)

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“…Arena ® can also be integrated with other software such as Microsoft Excel and VBA to meet a desired need. Some other applications of the software both autonomous and/or integral have been reported in Pop-Andonov et al 2012, Askari-Nasab et al, (2012), Torkamani, (2013, and Chinbat and Takakuwa (2009).…”

Section: Arena® and Its Applications In Miningmentioning

confidence: 93%

Application of Discrete Event Simulation in Mine Production Forecast

Kaba¹,

Temeng²,

Eshun³

2016

Ghana Mining Journal

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Mine production forecast is pertinent to mining as it serves production goals for a production period. Perseus Mining Ghana Limited (PMGL), Ayanfuri, deterministically forecasts mine production which sometimes result in significant variation from the actual production. This paper developed an innovative stochastic discrete event simulation model to predict production for two excavators at a pit in PMGL site using Arena ® Software. Time and motion studies of the shoveltruck system were conducted to build the stochastic model and production was predicted for four weeks. The results showed a total average production of 210 414.86 BCM ± 3 301.59 BCM at 95% confidence interval. The total average production reflected a variance of 2.34% from the actual production of 215 341 BCM. The deviation was low as compared to the deterministic planned production variance which was 5.44%.

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Section: Arena® and Its Applications In Miningmentioning

confidence: 93%

Application of Discrete Event Simulation in Mine Production Forecast

Kaba¹,

Temeng²,

Eshun³

2016

Ghana Mining Journal

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“…La incertidumbre operacional se asocia a: (i) parámetros operacionales, aquellos que tienen relación con tiempos, velocidades y capacidades de los componentes utilizados en la operación; (ii) eventos operacionales, aquellos que afectan a la efectividad de los equipos, como detenciones programadas y fallas operacionales. Para generar cierta aleatoriedad, tanto en la incertidumbre asociada a parámetros como a eventos operacionales, se debe caracterizar la incertidumbre mediante estudios estadísticos de datos (Torkamani, 2013).…”

Section: Modelo De Simulaciónunclassified

“…Debido a la incertidumbre asociada a los equipos y a las interacciones existentes, resulta complejo analizar este sistema, siendo uno de los principales problemas a enfrentar la utilización eficiente de la flota de carguío y transporte, con el objetivo de minimizar los costos y maximizar la eficiencia. Los métodos deterministas no son apropiados para analizar este tipo de sistemas, debido a que poseen interacciones internas entre equipos que fallan de manera aleatoria (Torkamani, 2013), por lo que herramientas como simulación de eventos discretos resultan apropiadas para determinar dichas interacciones, aun cuando tiene la limitante de que no optimiza y sólo emula la operación (Banks, 1984).…”

Section: Introductionunclassified

Modelo integrado de simulación y optimización para planes mineros de corto plazo en minería a cielo abierto

2021

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Haulage system in open pit mining corresponds mainly to shovel-truck type systems, which can represent a high percentage of the operating cost of the mine. In addition, long-term open-pit mining tends to lower productivities because of deepening extraction, so improving the efficiency and productivity of the equipment is essential. However, these systems are complex to analyze, which is due both to the existing operational uncertainty and to the internal interactions that the equipment has. This paper proposes an integrated simulation and optimization model that maximizes productivity in the extraction of material, which is achieved by optimizing the dispatch of trucks during the simulation, subject to operating conditions in real time. Different dispatch strategies are presented and compared, and the results show that the use of this integrated approach translates into better operating results than deterministic methods and traditional simulation.

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“…Recent developments combine aspects of fleet management and short-term extraction sequencing for open pit mines with the motivation of creating synergies between the steps that are conventionally optimized separately; this, in turn, generates more efficient short-term plans (Fioroni et al 2008;L'Heureux et al 2013;Torkamani and Askari-Nasab 2015;Mousavi et al 2016a;Villalba Matamoros and Dimitrakopoulos 2016;Blom et al 2017;Kozan and Liu 2018;Upadhyay and Askari-Nasab 2018). Most of these recent approaches integrate shovel allocation decisions, shovel capacities and the cost of shovel movements in the production scheduling model.…”

Section: Introductionmentioning

confidence: 99%

“…Current research, however, has not incorporated the physical loss of shovel production due to time-consuming shovel movements within an industrial mining complex. Some recent models focus on extending equipment plans towards drilling and blasting activities (L'Heureux et al 2013;Kozan and Liu 2018), while others include additional decision variables related to optimal truck allocation (Fioroni et al 2008;Torkamani and Askari-Nasab 2015;Villalba Matamoros and Dimitrakopoulos 2016;Blom et al 2017;Upadhyay and Askari-Nasab 2018).…”

Section: Introductionmentioning

confidence: 99%

Joint stochastic short-term production scheduling and fleet management optimization for mining complexes

Both

Dimitrakopoulos

2020

Optim Eng

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This article presents a novel stochastic optimization model that simultaneously optimizes the short-term extraction sequence, shovel relocation, scheduling of a heterogeneous hauling fleet, and downstream allocation of extracted materials in open-pit mining complexes. The proposed stochastic optimization formulation considers geological uncertainty in addition to uncertainty related to equipment performances and truck cycle times. The method is applied at a real-world mining complex, stressing the benefits of optimizing the short-term production schedule and fleet management simultaneously. Compared to a conventional two-step approach, where the production schedule is optimized first before optimizing the allocation of the mining fleet, the costs generated by shovel movements are reduced by 56% and lost production due to shovel relocation is cut by 54%. Furthermore, the required number of trucks shows a more balanced profile, reducing total truck operational costs by 3.1% over an annual planning horizon, as well as the required haulage capacity in the most haulage-intense periods by 25%. A metaheuristic solution method is utilized to solve the large optimization problem in a reasonable timespan.

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A linkage of truck-and-shovel operations to short-term mine plans using discrete-event simulation

Cited by 35 publications

References 0 publications

Application of Discrete Event Simulation in Mine Production Forecast

Application of Discrete Event Simulation in Mine Production Forecast

Modelo integrado de simulación y optimización para planes mineros de corto plazo en minería a cielo abierto

Joint stochastic short-term production scheduling and fleet management optimization for mining complexes

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