Optimising Productivity and Safety of the Open Pit Loading and Haulage System with a Surge Loader

Aguayo, Ignacio Andrés Osses; Nehring, Micah; Ullah, G. M. Wali

doi:10.3390/mining1020011

Cited by 7 publications

(2 citation statements)

References 20 publications

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“…The production cycle is composed of drilling, blasting, loading and transport operations. The purpose of the loading and transport process is to load the material previously fragmented by the drilling and blasting process by appropriate equipment which are shovels, then its transport by trucks to the appropriate destinations through a route designed and maintained to accommodate transport trucks [15].…”

Section: System Shovel -Truckmentioning

confidence: 99%

Evaluation of the Variable Component of Truck Travel Time Based on the Maximum Speed for an Optimal Management of the Fleet, Case of Boukhadra Iron Ore Mine, NE Algeria

Chafia¹,

Ghoudelbourk²,

Mounia³

2023

JESA

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This work focuses on the loading and haulage works which are crucial operations and of major importance for the mining exploitation and whose costs are very high and represent up to 70% of the total price of the entire supply chain production. It is advisable to make a judicious choice of loading and transport machines and to assign them well to limit waiting times and increase yields, which will of course lead to the realization of the planned production. The allocation of trucks and the number assigned to the shovels is an important work for the operator, in this context the present work concerns the open pit mine of Boukhadra (Tebessa), one of the largest iron deposits in Algeria. Based on truck timing data and the characteristics of excavators, trucks, and roads, an analysis of the current status of loading and transport work was made, which showed high waiting times of the shovel. Based on the performance curves of the CATERPILLAR trucks, we determined the appropriate speeds and therefore the determination of the number of trucks necessary to reduce the waiting times of the excavator.

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Section: System Shovel -Truckmentioning

confidence: 99%

Evaluation of the Variable Component of Truck Travel Time Based on the Maximum Speed for an Optimal Management of the Fleet, Case of Boukhadra Iron Ore Mine, NE Algeria

Chafia¹,

Ghoudelbourk²,

Mounia³

2023

JESA

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“…However, with increasing operating costs associated with hauling rock farther, longer hauling cycle times, increasing diesel prices [3] and environmental and safety commitments, several innovative projects for mining related to loading and hauling have been adopted by mine companies. Aguayo et al [4] studied the application of a surge loader as an alternative into the shovel-truck system. This technology includes an equipment between the shovel and trucks to increase the safety and productivity of the loading and hauling phases.…”

Section: Introductionmentioning

confidence: 99%

A Mine-to-Crusher Model to Minimize Costs at a Truckless Open-Pit Iron Mine in Brazil

Torres

Figueiredo

Hoz³

et al. 2022

Minerals

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Innovation has an important role in improving the productivity, safety and sustainability of mining operations. Historically, ore transport was done by diesel trucks, but with the commitment to reduce CO2 emissions and increase mine safety, mining companies have invested in innovative, more sustainable ore transport technologies. The innovative truckless system, with the intensive use of belt conveyors to transport the ore from the mine to the processing plant, represents a huge project and capital investment. However, operation costs are lower when considering the decrease of fuel use and also maintenance expenses. This paper presents an economic analysis of a mine-to-crusher model to estimate and minimize the operating expenses of an open-pit iron mine located in northern Brazil. The activities at this truckless mine consist of drilling and blasting, loading and primary crushing. In this study, the calibration of the mine-to-crusher model was based on rock fragmentation from the blasting phase. The costs of each mine operation phase were estimated for an optimum 80% passing size (P80). The calibration was conducted with the values of technical and economic parameters in 2019. By considering the structural lithologies of canga and jaspillites, we concluded that the P80 value that minimizes costs might be in the range from 0.31 to 0.34 m.

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Strategic load management: Enhancing eco-efficiency in mining operations through automated technologies

Firoozi,

Tshambane,

Firoozi

et al. 2024

Results in Engineering

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Optimising Productivity and Safety of the Open Pit Loading and Haulage System with a Surge Loader

Cited by 7 publications

References 20 publications

Evaluation of the Variable Component of Truck Travel Time Based on the Maximum Speed for an Optimal Management of the Fleet, Case of Boukhadra Iron Ore Mine, NE Algeria

Evaluation of the Variable Component of Truck Travel Time Based on the Maximum Speed for an Optimal Management of the Fleet, Case of Boukhadra Iron Ore Mine, NE Algeria

A Mine-to-Crusher Model to Minimize Costs at a Truckless Open-Pit Iron Mine in Brazil

Strategic load management: Enhancing eco-efficiency in mining operations through automated technologies

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