A Discrete Event Simulation and Data-Based Framework for Equipment Performance Evaluation in Underground Coal Mining

Yılmaz, Enver; Erkayaoğlu, Mustafa

doi:10.1007/s42461-021-00455-2

Cited by 3 publications

(2 citation statements)

References 46 publications

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“…Discrete event simulation techniques have been widely used in the mining industry to `evaluate and analyse mining operations (Dindarloo, Osanloo, and Frimpong, 2015;Afrapoli and Askari-Nasab, 2017;Yilmaz andErkayaoglu, 2021. Askari-Nasab, Frimpong, andSzymanski (2007) developed an open pit production simulator to represent dynamic expansion of an open pit mine.…”

Section: Introductionmentioning

confidence: 99%

A simulation model to study truck-allocation options

Zeng¹,

Baafi²,

fan³

2023

J. S. Afr. Inst. Min. Metall.

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We present a discrete event simulator, TSJSim (Truck-Shovel JaamSim Simulator), for evaluating the stochastic and dynamic operational variables in a truck-shovel system. TSJSim offers four truck allocation strategies: Fixed truck assignment (FTA), Minimizing shovel production requirement (MSPR), Minimizing truck waiting time (MTWT), and Minimizing truck semi-cycle time (MTSCT) including the genetic algorithm (GA) optimization and the frozen dispatching algorithm (FDA) optimization rules. Multiple decision points along the haul routes for all the trucks close to the decision points were included in the model. The simulation results indicate that the trends associated with production tons and queuing time utilizing the four truck allocation strategies (MSPR, MTWT, FDA, and GA) all demonstrated similar patterns as the fleet size varied. As the system fleet size increased, the system production tons under these strategies at first increased significantly and then remained relatively constant; the queuing time relating to these strategies showed a positive relationship with the system fleet size. The bunching time decreased when the truck allocation strategies were applied in the model. In the simulated truck-shovel network system with multiple traffic intersections, by assigning the trucks at the intersections, both productivity and fleet utilization increased.

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Section: Introductionmentioning

confidence: 99%

A simulation model to study truck-allocation options

Zeng¹,

Baafi²,

fan³

2023

J. S. Afr. Inst. Min. Metall.

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“…In Ukraine, the main hard coal reserves (> 70%) are concentrated in seams with a geological thickness of less than 1.0 m, which gradually causes significant economic difficulties in their mining, and leads to the gradual involvement of thinner seams in mining [18]- [20]. These seams today can be mined using the following technologies: the traditional method using mechanized complexes [21], [22], underground gasification [23]- [25] or augering method [26], [27].…”

Section: Introductionmentioning

confidence: 99%

Research into the coal quality with a new selective mining technology of the waste rock accumulation in the mined-out area

Malashkevych¹,

Petlovanyi²,

Sai³

et al. 2022

Min. miner. depos.

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Purpose. The research purpose is to study the formation of quantitative-qualitative indicators of mined coal under conditions of dynamic changes in space and time with a new stope mining technology with waste rock accumulation in the underground mined-out area. Methods. The contours are formed for mining low-thickness coal reserves and extracting thicknesses, undercut rock volumes in the stoping and preparatory faces in the conditions of the Heroiiv Kosmosu mine. The average density values of coal, rock layers and wall rocks in the seam within the boundaries of mining contours are determined based on the geological data of wells and mining operations. The graphic basis is executed in the AutoCAD program. A digital spatial model of the С10t seam contours is used, according to the schedule for organizing stope and preparatory operations. The volumes of waste rocks and minerals involved in the formation of quantitative-qualitative rock mass indicators in a given time period are calculated. Findings. It has been determined that during mining of coal reserves from the studied mining area (equal to extraction site), the volume of production and the operational coal ash content in the mining technology with waste rock accumulation averages 376.5 thousand tons and 15.2%, while with traditional technology – 621.3 thousand tons and 46.7%. Nevertheless, it has been proven that in terms of energy equivalent, the value of mined coal using the mining technology with waste rock accumulation is higher by 7.4% than the traditional technology (9.6 TJ versus 8.9 TJ). Originality. For the first time, a mechanism for the formation of operational ash content and energy value of coal has been revealed when combining the processes of drifting operations to prepare reserves from new extraction pillars with associated stope operations into a new selective mining technology with waste rock accumulation in the mined-out area. Practical implications. An algorithm for predicting the operational ash content and quality of coal when using selective mining technology with waste rock accumulation in the mined-out area has been developed, which is important for the technical and economic indicators of coal mines.

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