The scheduling of openpit mine production is a largescale, mixedinteger linear programming problem that is computationally expensive. The purpose of this study is to create a computationally efficient algorithm for solving openpit production scheduling problems with uncertain geological parameters. To demonstrate the effectiveness of the proposed research, a case study of an Indian iron ...
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This work deals with the shortterm planning problem of a work shift for openpit mines. The problem involves ore and waste fronts, shovels, heterogeneous truck fleets, and discharge points. The allocation of trucks is dynamic to allow multiple routes to be assigned to each truck. The problem consists of deciding which fronts must be mined and ...
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Openpit mining Openpit mining is a type of strip mining in which the ore deposit extends very deep in the ground, necessitating the removal of layer upon layer of overburden and ore. In many cases, logging of trees and clearcutting or burning of vegetation above the ore deposit may precede removal of the overburden. The
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The profit function can also be formulated in unit values (per ton or cubic meter of ore), by assigning a unit profit function L ′ (/h), which is given by (2) L ′ = T U V − M − E R − B − F P. In all these variables, there are two geological characteristics, which have great importance: the stripping ratio R and the grade of ore is therefore essential to determine what their ...
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Cost decreased at an optimum fragmentation size in the surface mining operation and production [7,8].The back bone of the blast results quality in surface mining is the efficiency and cost of ...
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Blasting 1 m 3 ore rock needs consumption of m 3. dust removal technology is mostly used in areas with hot climates and water deficient. The dust reduction efficiency of covering the blast area with is up to %, and the ventilation time of openpit mines can be reduced by 2/33/4.
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In this study, vibration sensors were used to measure blastinduced ground vibration (PPV). Different evolutionary algorithms were assessed for predicting PPV, including the particle swarm optimization (PSO) algorithm, genetic algorithm (GA), imperialist competitive algorithm (ICA), and artificial bee colony (ABC). These evolutionary algorithms were used to optimize the support vector ...
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In the production process of openpit mines, trucks are applied in the production process of openpit mines for transporting ores and rocks. Most openpit mines are equipped with dozens of trucks. It is important to plan the dispatch of trucks in the production process so that the transportation process can be the shortest in distance, the lowest in cost, and the most efficient. At present ...
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A similar objective in openpit mining consists of breaking the ore close to the point of excavation in a portable crusher and hauling it out of the pit on a conveyor belt. This method also replaces and intermittent or discontinuous and laborintensive haulage system (, trucks) by a continuous flow.
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The longterm planning of open pit mine is a dynamic process and should be reviewed periodically for enhancing the NPV and life of mine. Pit optimization through soft computing can be gainfully applied to resolve a number of important problems that arise in developing suitable planning strategies and man agement of a mine.
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The first example (Fig. 3a) shows the main open cut of the Carajás iron ore mine complex in the Brazilian Amazon, which is among the world's largest iron ore mining operations 43. Figure 3b ...
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An openpit mine bulk materials handling system case study is presented to demonstrate the approach. A dispatching heuristic controlling the operation of the trucking system can be optimised through the selection of values for four control parameters. ... some background knowledge of the process of openpit mining is necessary. The purpose of ...
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It is common in mining industry that the deposits contain multiple correlated attributes of interest. A typical example is iron ore mining, where up to six variables need to be considered in resource estimation and mine planning, namely iron (Fe), silica (SiO 2), alumina (Al 2 O 3), phosphor (P), loss on ignition (LOI) and Ochreous Goethite (GOL), and they are crosscorrelated.
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In an open pit mining operation, the heterogeneity of the gradetonnage distribution of the deposit dictates that all available material within the boundaries of an open pit may not be processed.
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Application to a case study open pit iron ore mine in South Africa indicated a significant improvement in the spatial minetoplan compliance, from 69% to 94% over a threeyear period from 2014 to ...
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Amankwah, H. (2011). Mathematical Optimization Models and Methods for OpenPit Mining. Doctoral dissertation. ISBN . ISSN . Openpit mining is an operation in which blocks from the ground are dug to extract the ore contained in them, and in this process a deeper and deeper pit is formed until the mining operation ends.
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AskariNasab et al. (2010) applied MILP formulations to an open pit iron ore mine production schedule and compared their results to an industry strategic mine planning software, Whittle ( GEOVIA ...
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The mine supply chain usually contains three stages, which is mining, processing, and ore product transportation. This paper tackles the difficulty of variable cutoff grade by establishing a robust optimization model. To solve the robust optimization model, the nonlinear constraints in the model were linearized first.
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This study aimed to develop and assess the feasibility of different machine learning algorithms for predicting ore production in openpit mines based on a truckhaulage system with the support of the Internet of Things (IoT). Six machine learning algorithms, namely the random forest (RF), support vector machine (SVM), multilayer perceptron neural networks (MLP neural nets), classification and ...
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Open pit mining method is one of the surface mining methods that has a traditional coneshaped excavation and is usually employed to exploit a nearsurface, nonselective and lowgrade zones deposits. It often results in high productivity and requires large capital investments, low operating costs, and good safety conditions.
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OpenPit Mining | Method and Process Openpit mining Openpit mining provides significant proportions of many of the world's major mineral commodities. In hard rock mining, much of the world's annual output of copper, gold and iron ore is won from openpit operations.
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Since the initial application of mathematical optimization methods to mine planning in 1965, the LerchsGrossmann algorithm for computing the ultimate pit limit is an exact method of determining the "ultimate pit." The extraction schedule is then defined by excavating these nested pits, in order, from smallest to largest pit [ 3 ].
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The stability of high jointed slopes has an important impact on the construction of engineering projects. Herein, aiming at the high jointed slope of mine, by combining the jointed finite element method (JFEM) and the discontinuous deformation analysis (DDA) method, a wholeofprocess analysis method was proposed from identification of the slope stability and risk assessment to later ...
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The developed model is tested in the GoleGohar ironore mine, and the mine UPLs is determined. ... the development process of openpit mine slope engineering in China can be divided into ...
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Keywords: Modeling of deposit, Open Pit optimization, Ant ... Figure 4 Lenticular shape iron ore deposit of ... land is excavated forming pi ts which increase gradually u ntil mining process if .
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Shortterm openpit mine production scheduling is a challenging task that must deal with several objectives, like maximization of the productivity of equipment (plant and mining), compliance of ore extraction, and others. Unfortunately, there are tradeoffs between these objectives that make the problem of finding wellbalanced shortterm schedules complex to handle. To overcome this problem ...
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A material supplier from Belgium would like to produce limestone powder for his custome...
India is rich in various mineral resources and it is an important mineral processing market
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