This paper proposes a new mathematical model for the open pit mine planning problem, based on continuous functional analysis. The traditional models for this problem have been constructed by using discrete 0−1 decision variables, giving rise to large-scale combinatorial and Mixed Integer Programming (MIP) problems. Instead, we use a continuous approach which allows for a refined imposition of s...

For the purpose of production scheduling, open pit mines are discretized into threedimensional arrays known as block models. Production scheduling consists in deciding which blocks should be extracted, when they should be extracted and how each extracted block should be processed. Blocks which are on top should be extracted first, and capacity constraints limit the production each time period. ...

In this study, a three-dimensional finite difference numerical model of the Jinfeng Gold Mine, including surface topography, ore body, shafts, and main faults, was built to estimate shaft stability deformation induced by underground mining transferred from open-pit mining. Satellite monitoring data displacement at several points used calibrate model. The sequence excavation filling in simulatio...

The standard optimization of open-pit mine design and production scheduling, which is impacted by a variety factors, an essential part mining activities. metal uncertainty, connected to supply crucial component in optimization. To address uncertainties regarding the economic value blocks general problem optimization, minimum-cut network flow algorithm employed give optimal ultimate pit limits p...

In order to carry out an open pit mining operation, planners must periodically prepare what is known as strategic mine plan. This is a tentative production schedule for the remaining life of the mine that defines which area of a mining reserve will be extracted, in what years this extraction will take place, which resources will be used for the extraction, and how the extracted material will be...

In this study, a hybrid intelligent model has been designed to predict groundwater inflow to a mine pit during its advance. Novel hybrid method coupling artificial neural network (ANN) with genetic algorithm (GA) called ANN-GA, was utilised. Ratios of pit depth to aquifer thickness, pit bottom radius to its top radius, inverse of pit advance time and the hydraulic head (HH) in the observation w...

In this paper, an infrastructure for monitoring remote equipment and solving some of the logistic challenges of operating satellite surface mines is presented. This infrastructure includes strategies for communicating timely and accurate information amongst operators, planners and supervisors, using off-the-shelf network protocols. Advanced data visualization techniques are implemented, so user...

This paper proposes a newmathematical framework for the open pit mine planning problem, based on continuous functional analysis. The main challenge for engineers is to determine a sequence of nested profiles maximizing the net present value of the mining operation. The traditional models for this problem have been constructed by using binary decision variables, giving rise to large-scale combin...

Open pit mine production scheduling is a computationally expensive large-scale mixed-integer linear programming problem. This research develops efficient algorithm to solve open problems under uncertain geological parameters. The proposed solution approach for two-stage process. stochastic problem iteratively solved in the first stage after relaxing resource constraints using parametric graph c...